Model profile · Qwen

qwen3.6-plus

Open weightsmid · registry tag 2026 benchmark-derived

Thin verified coverage

Reads as thin verified coverage across the resolved source data.

Visible coverage: 50.7%
Verified coverage: 50.7%
Spread: n/a
Last verified: Jun 20, 2026

textcodedocumentvision3 aliases34 official source links

Open compare

Data version

Current snapshot.

Data version Jun 20, 2026Model list checked9 providers · 1081 tracked modelsPage refreshed Jul 5, 2026

The registry snapshot and page stamp are shown so a stale deploy is visible at a glance.

Source-linked scores by benchmark

Each row keeps the benchmark source, source type, raw metric, and percentile inside its fair comparison set.

Thin verified coverageThis model currently reads as thin verified coverage across the resolved source data.

Chat / text37 benchmarks72.5%

Intelligence Index

AA · Chat / text · Combined

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #16 · Source label: Qwen3.6 Plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Artificial Analysis
Raw value: 40
Percentile: 96.2%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Artificial Analysis public leaderboard field `intelligenceIndex`.

96.2% percentile inside its fair comparison set

40Raw benchmark value

AA-Omniscience accuracy

AA · Chat / text · Objective

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #45 · Source label: Qwen3.6 Plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Artificial Analysis
Raw value: 26.2%
Percentile: 85.2%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Artificial Analysis public leaderboard field `omniscienceAccuracy`.

85.2% percentile inside its fair comparison set

26.2%Raw benchmark value

AA-Omniscience non-hallucination

AA · Chat / text · Objective

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #15 · Source label: Qwen3.6 Plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Artificial Analysis
Raw value: 68%
Percentile: 95.3%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Artificial Analysis public leaderboard field `omniscienceNonHallucination`.

95.3% percentile inside its fair comparison set

68%Raw benchmark value

IFBench

AA · Chat / text · Objective

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #13 · Source label: Qwen3.6 Plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Artificial Analysis
Raw value: 75.2%
Percentile: 96.2%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Artificial Analysis public leaderboard field `ifbench`.

96.2% percentile inside its fair comparison set

75.2%Raw benchmark value

Blended price

AA · Chat / text · Speed / cost

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #178 · Source label: Qwen3.6 Plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Artificial Analysis
Raw value: $1.1 /1M tokens
Percentile: 36.2%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Artificial Analysis public leaderboard field `price1mBlended0To3To1`.

36.2% percentile inside its fair comparison set

$1.1 /1M tokensRaw benchmark value

Input price

AA · Chat / text · Speed / cost

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #165 · Source label: Qwen3.6 Plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Artificial Analysis
Raw value: $0.5 /1M input tokens
Percentile: 42.8%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Artificial Analysis public leaderboard field `price1mInputTokens`.

42.8% percentile inside its fair comparison set

$0.5 /1M input tokensRaw benchmark value

Output price

AA · Chat / text · Speed / cost

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #188 · Source label: Qwen3.6 Plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Artificial Analysis
Raw value: $3 /1M output tokens
Percentile: 33%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Artificial Analysis public leaderboard field `price1mOutputTokens`.

33% percentile inside its fair comparison set

$3 /1M output tokensRaw benchmark value

Output Speed

AA · Chat / text · Speed / cost

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #167 · Source label: Qwen3.6 Plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Artificial Analysis
Raw value: 52.1 tokens/s
Percentile: 21%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Artificial Analysis public leaderboard field `medianOutputTokensPerSecond`.

21% percentile inside its fair comparison set

52.1 tokens/sRaw benchmark value

Time to first token

AA · Chat / text · Speed / cost

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #126 · Source label: Qwen3.6 Plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Artificial Analysis
Raw value: 2.58s
Percentile: 40.5%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Artificial Analysis public leaderboard field `medianTimeToFirstTokenSeconds`.

40.5% percentile inside its fair comparison set

2.58sRaw benchmark value

Time to first answer token

AA · Chat / text · Speed / cost

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #208 · Source label: Qwen3.6 Plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Artificial Analysis
Raw value: 109.06s
Percentile: 1.4%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Artificial Analysis public leaderboard field `medianTimeToFirstAnswerTokenSeconds`.

1.4% percentile inside its fair comparison set

109.06sRaw benchmark value

Text Arena

AR · Chat / text · Human

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #43 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,444
Percentile: 87.1%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: overall. Source rank: #55. Votes: 28997. Organization: alibaba. License: Proprietary.

87.1% percentile inside its fair comparison set

1,444Raw benchmark valueCI 1,440 - 1,449

Text Arena · Creative Writing

AR · Chat / text · Human

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #50 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,406
Percentile: 84.8%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: creative_writing. Source rank: #64. Votes: 4136. Organization: alibaba. License: Proprietary.

84.8% percentile inside its fair comparison set

1,406Raw benchmark valueCI 1,396 - 1,416

Text Arena · English

AR · Chat / text · Human

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #39 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,457
Percentile: 88.3%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: english. Source rank: #51. Votes: 13474. Organization: alibaba. License: Proprietary.

88.3% percentile inside its fair comparison set

1,457Raw benchmark valueCI 1,451 - 1,463

Text Arena · Exclude Ties

AR · Chat / text · Human

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #46 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,443
Percentile: 86.2%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: exclude_ties. Source rank: #58. Votes: 21919. Organization: alibaba. License: Proprietary.

86.2% percentile inside its fair comparison set

1,443Raw benchmark valueCI 1,437 - 1,449

Text Arena · Hard Prompts

AR · Chat / text · Human

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #38 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,467
Percentile: 88.6%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: hard_prompts. Source rank: #50. Votes: 19411. Organization: alibaba. License: Proprietary.

88.6% percentile inside its fair comparison set

1,467Raw benchmark valueCI 1,462 - 1,473

Text Arena · Hard Prompts English

AR · Chat / text · Human

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #38 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,474
Percentile: 88.6%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: hard_prompts_english. Source rank: #49. Votes: 9526. Organization: alibaba. License: Proprietary.

88.6% percentile inside its fair comparison set

1,474Raw benchmark valueCI 1,467 - 1,481

Text Arena · Instruction Following

AR · Chat / text · Human

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #39 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,436
Percentile: 88.3%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: instruction_following. Source rank: #50. Votes: 9700. Organization: alibaba. License: Proprietary.

88.3% percentile inside its fair comparison set

1,436Raw benchmark valueCI 1,429 - 1,443

Text Arena · Longer Query

AR · Chat / text · Human

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #39 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,454
Percentile: 87.5%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: longer_query. Source rank: #50. Votes: 12119. Organization: alibaba. License: Proprietary.

87.5% percentile inside its fair comparison set

1,454Raw benchmark valueCI 1,447 - 1,461

Text Arena · Multi Turn

AR · Chat / text · Human

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #50 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,444
Percentile: 84.8%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: multi_turn. Source rank: #66. Votes: 5050. Organization: alibaba. License: Proprietary.

84.8% percentile inside its fair comparison set

1,444Raw benchmark valueCI 1,435 - 1,453

Text Arena · No Style Control

AR · Chat / text · Human

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #40 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,438
Percentile: 88%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: overall. Source rank: #49. Votes: 28997. Organization: alibaba. License: Proprietary.

88% percentile inside its fair comparison set

1,438Raw benchmark valueCI 1,433 - 1,442

Text Arena · Creative Writing · No Style Control

AR · Chat / text · Human

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #51 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,402
Percentile: 84.5%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: creative_writing. Source rank: #64. Votes: 4136. Organization: alibaba. License: Proprietary.

84.5% percentile inside its fair comparison set

1,402Raw benchmark valueCI 1,392 - 1,412

Text Arena · English · No Style Control

AR · Chat / text · Human

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #40 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,447
Percentile: 88%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: english. Source rank: #50. Votes: 13474. Organization: alibaba. License: Proprietary.

88% percentile inside its fair comparison set

1,447Raw benchmark valueCI 1,441 - 1,453

Text Arena · Exclude Ties · No Style Control

AR · Chat / text · Human

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #42 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,432
Percentile: 87.4%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: exclude_ties. Source rank: #51. Votes: 21919. Organization: alibaba. License: Proprietary.

87.4% percentile inside its fair comparison set

1,432Raw benchmark valueCI 1,426 - 1,438

Text Arena · Hard Prompts · No Style Control

AR · Chat / text · Human

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #37 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,449
Percentile: 88.9%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: hard_prompts. Source rank: #45. Votes: 19411. Organization: alibaba. License: Proprietary.

88.9% percentile inside its fair comparison set

1,449Raw benchmark valueCI 1,443 - 1,454

Text Arena · Hard Prompts English · No Style Control

AR · Chat / text · Human

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #37 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,454
Percentile: 88.9%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: hard_prompts_english. Source rank: #44. Votes: 9526. Organization: alibaba. License: Proprietary.

88.9% percentile inside its fair comparison set

1,454Raw benchmark valueCI 1,447 - 1,461

Text Arena · Instruction Following · No Style Control

AR · Chat / text · Human

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #37 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,425
Percentile: 88.9%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: instruction_following. Source rank: #45. Votes: 9700. Organization: alibaba. License: Proprietary.

88.9% percentile inside its fair comparison set

1,425Raw benchmark valueCI 1,418 - 1,432

Text Arena · Longer Query · No Style Control

AR · Chat / text · Human

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #36 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,440
Percentile: 88.5%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: longer_query. Source rank: #44. Votes: 12119. Organization: alibaba. License: Proprietary.

88.5% percentile inside its fair comparison set

1,440Raw benchmark valueCI 1,433 - 1,446

Text Arena · Multi Turn · No Style Control

AR · Chat / text · Human

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #47 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,437
Percentile: 85.8%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: multi_turn. Source rank: #58. Votes: 5050. Organization: alibaba. License: Proprietary.

85.8% percentile inside its fair comparison set

1,437Raw benchmark valueCI 1,428 - 1,446

Instruction following

LB · Chat / text · Objective

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #40 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 58.3%
Percentile: 63.9%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Category: IF. Tasks scored: 4.

63.9% percentile inside its fair comparison set

58.3%Raw benchmark value

Language

LB · Chat / text · Objective

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #48 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 75%
Percentile: 56.5%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Category: Language. Tasks scored: 3.

56.5% percentile inside its fair comparison set

75%Raw benchmark value

Paraphrase

LB · Chat / text · Objective

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #29 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 60.6%
Percentile: 74.1%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: paraphrase. Category: IF.

74.1% percentile inside its fair comparison set

60.6%Raw benchmark value

Simplify

LB · Chat / text · Objective

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #49 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 51.6%
Percentile: 55.6%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: simplify. Category: IF.

55.6% percentile inside its fair comparison set

51.6%Raw benchmark value

Story generation

LB · Chat / text · Objective

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #54 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 56.9%
Percentile: 50.9%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: story_generation. Category: IF.

50.9% percentile inside its fair comparison set

56.9%Raw benchmark value

Summarize

LB · Chat / text · Objective

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #28 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 64.3%
Percentile: 75%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: summarize. Category: IF.

75% percentile inside its fair comparison set

64.3%Raw benchmark value

Connections

LB · Chat / text · Objective

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #52 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 90.5%
Percentile: 53.7%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: connections. Category: Language.

53.7% percentile inside its fair comparison set

90.5%Raw benchmark value

Plot unscrambling

LB · Chat / text · Objective

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #58 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 52.5%
Percentile: 47.2%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: plot_unscrambling. Category: Language.

47.2% percentile inside its fair comparison set

52.5%Raw benchmark value

Typos

LB · Chat / text · Objective

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #26 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 82%
Percentile: 86%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: typos. Category: Language.

86% percentile inside its fair comparison set

82%Raw benchmark value

Coding24 benchmarks72.7%

Terminal-Bench Hard

AA · Coding · Objective

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #13 · Source label: Qwen3.6 Plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Artificial Analysis
Raw value: 43.9%
Percentile: 96.4%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Artificial Analysis public leaderboard field `terminalbenchHard`.

96.4% percentile inside its fair comparison set

43.9%Raw benchmark value

SciCode

AA · Coding · Objective

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #51 · Source label: Qwen3.6 Plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Artificial Analysis
Raw value: 40.7%
Percentile: 86.4%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Artificial Analysis public leaderboard field `scicode`.

86.4% percentile inside its fair comparison set

40.7%Raw benchmark value

Coding Index

AA · Coding · Combined

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #22 · Source label: Qwen3.6 Plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Artificial Analysis
Raw value: 55
Percentile: 72%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Artificial Analysis public leaderboard field `codingIndex`.

72% percentile inside its fair comparison set

55Raw benchmark value

Agentic Index

AA · Coding · Combined

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #19 · Source label: Qwen3.6 Plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Artificial Analysis
Raw value: 28
Percentile: 60.9%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Artificial Analysis public leaderboard field `agenticIndex`.

60.9% percentile inside its fair comparison set

28Raw benchmark value

Code Arena

AR · Coding · Human

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #18 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,462
Percentile: 76.7%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: overall. Source rank: #23. Votes: 8408. Organization: alibaba. License: Proprietary.

76.7% percentile inside its fair comparison set

1,462Raw benchmark valueCI 1,455 - 1,469

WebDev Arena

AR · Coding · Human

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #18 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,462
Percentile: 76.7%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: webdev. Source rank: #23. Votes: 8408. Organization: alibaba. License: Proprietary.

76.7% percentile inside its fair comparison set

1,462Raw benchmark valueCI 1,455 - 1,469

Code Arena · Webdev Html

AR · Coding · Human

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #19 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,463
Percentile: 75.3%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: webdev-html. Source rank: #25. Votes: 1067. Organization: alibaba. License: Proprietary.

75.3% percentile inside its fair comparison set

1,463Raw benchmark valueCI 1,445 - 1,482

Code Arena · Webdev React

AR · Coding · Human

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #18 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,456
Percentile: 71.2%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: webdev-react. Source rank: #23. Votes: 7330. Organization: alibaba. License: Proprietary.

71.2% percentile inside its fair comparison set

1,456Raw benchmark valueCI 1,449 - 1,464

Code Migration

VALS-AI · Coding · Objective

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #18 · Source label: alibaba/qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Vals AI
Raw value: 11.1%
Percentile: 22.7%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Vals AI BenchmarkView overall scores. Vals slug: code-migration; provider: Alibaba.

22.7% percentile inside its fair comparison set

11.1%Raw benchmark valueCI 8.5% - 13.7%

LiveCodeBench

VALS-AI · Coding · Objective

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #14 · Source label: alibaba/qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Vals AI
Raw value: 86%
Percentile: 85.6%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Vals AI BenchmarkView overall scores. Vals slug: lcb; provider: Alibaba.

85.6% percentile inside its fair comparison set

86%Raw benchmark valueCI 84% - 87.9%

ProgramBench

VALS-AI · Coding · Objective

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #12 · Source label: alibaba/qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Vals AI
Raw value: 0%
Percentile: 70%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Vals AI BenchmarkView overall scores. Vals slug: programbench; provider: Alibaba.

70% percentile inside its fair comparison set

0%Raw benchmark valueCI 0% - 0%

SWE-bench Verified

VALS-AI · Coding · Objective

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #26 · Source label: alibaba/qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Vals AI
Raw value: 73.4%
Percentile: 53.7%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Vals AI BenchmarkView overall scores. Vals slug: swebench; provider: Alibaba.

53.7% percentile inside its fair comparison set

73.4%Raw benchmark valueCI 69.5% - 77.3%

Terminal-Bench 2.1

VALS-AI · Coding · Objective

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #18 · Source label: alibaba/qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Vals AI
Raw value: 53.2%
Percentile: 37%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Vals AI BenchmarkView overall scores. Vals slug: terminal-bench-2-1; provider: Alibaba.

37% percentile inside its fair comparison set

53.2%Raw benchmark valueCI 50% - 56.4%

Vibe Code Bench v1.1

VALS-AI · Coding · Objective

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #24 · Source label: alibaba/qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Vals AI
Raw value: 25.6%
Percentile: 53.1%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Vals AI BenchmarkView overall scores. Vals slug: vibe-code; provider: Alibaba.

53.1% percentile inside its fair comparison set

25.6%Raw benchmark valueCI 17.9% - 33.2%

Text Arena · Coding

AR · Coding · Human

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #42 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,493
Percentile: 87.2%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: coding. Source rank: #52. Votes: 8769. Organization: alibaba. License: Proprietary.

87.2% percentile inside its fair comparison set

1,493Raw benchmark valueCI 1,486 - 1,501

Text Arena · Coding · No Style Control

AR · Coding · Human

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #35 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,464
Percentile: 89.4%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: coding. Source rank: #43. Votes: 8769. Organization: alibaba. License: Proprietary.

89.4% percentile inside its fair comparison set

1,464Raw benchmark valueCI 1,457 - 1,472

Code Arena · Image To Webdev

AR · Coding · Human

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #8 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,467
Percentile: 58.8%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: image_to_webdev. Source rank: #11. Votes: 2602. Organization: alibaba. License: Proprietary.

58.8% percentile inside its fair comparison set

1,467Raw benchmark valueCI 1,454 - 1,480

Agentic coding

LB · Coding · Objective

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #29 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 55%
Percentile: 78.7%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Category: Agentic Coding. Tasks scored: 3.

78.7% percentile inside its fair comparison set

55%Raw benchmark value

Coding

LB · Coding · Objective

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #25 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 78.2%
Percentile: 81.5%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Category: Coding. Tasks scored: 2.

81.5% percentile inside its fair comparison set

78.2%Raw benchmark value

JavaScript

LB · Coding · Objective

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #42 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 45%
Percentile: 73.1%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: javascript. Category: Agentic Coding.

73.1% percentile inside its fair comparison set

45%Raw benchmark value

TypeScript

LB · Coding · Objective

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #37 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 45%
Percentile: 76.6%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: typescript. Category: Agentic Coding.

76.6% percentile inside its fair comparison set

45%Raw benchmark value

Python

LB · Coding · Objective

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #22 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 75%
Percentile: 90.7%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: python. Category: Agentic Coding.

90.7% percentile inside its fair comparison set

75%Raw benchmark value

Coding generation

LB · Coding · Objective

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #18 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 80.3%
Percentile: 91.7%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: code_generation. Category: Coding.

91.7% percentile inside its fair comparison set

80.3%Raw benchmark value

Coding completion

LB · Coding · Objective

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #41 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 76.1%
Percentile: 78.7%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: code_completion. Category: Coding.

78.7% percentile inside its fair comparison set

76.1%Raw benchmark value

Reasoning / math / science17 benchmarks77.3%

Humanity's Last Exam

AA · Reasoning / math / science · Objective

It is one of the cleaner reads on deliberate reasoning strength rather than style or popularity.

Rank #22 · Source label: Qwen3.6 Plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Artificial Analysis
Raw value: 25.7%
Percentile: 94.3%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Artificial Analysis public leaderboard field `hle`.

94.3% percentile inside its fair comparison set

25.7%Raw benchmark value

GPQA

AA · Reasoning / math / science · Objective

It is one of the cleaner reads on deliberate reasoning strength rather than style or popularity.

Rank #15 · Source label: Qwen3.6 Plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Artificial Analysis
Raw value: 88.2%
Percentile: 96.3%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Artificial Analysis public leaderboard field `gpqa`.

96.3% percentile inside its fair comparison set

88.2%Raw benchmark value

CritPt

AA · Reasoning / math / science · Objective

It is one of the cleaner reads on deliberate reasoning strength rather than style or popularity.

Rank #27 · Source label: Qwen3.6 Plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Artificial Analysis
Raw value: 2.9%
Percentile: 91.4%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Artificial Analysis public leaderboard field `critpt`.

91.4% percentile inside its fair comparison set

2.9%Raw benchmark value

GPQA Diamond

VALS-AI · Reasoning / math / science · Objective

It is one of the cleaner reads on deliberate reasoning strength rather than style or popularity.

Rank #21 · Source label: alibaba/qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Vals AI
Raw value: 87.4%
Percentile: 78.7%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Vals AI BenchmarkView overall scores. Vals slug: gpqa; provider: Alibaba.

78.7% percentile inside its fair comparison set

87.4%Raw benchmark valueCI 84.1% - 90.6%

MMLU Pro

VALS-AI · Reasoning / math / science · Objective

It is one of the cleaner reads on deliberate reasoning strength rather than style or popularity.

Rank #12 · Source label: alibaba/qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Vals AI
Raw value: 87.7%
Percentile: 87.6%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Vals AI BenchmarkView overall scores. Vals slug: mmlu_pro; provider: Alibaba.

87.6% percentile inside its fair comparison set

87.7%Raw benchmark valueCI 87% - 88.3%

Text Arena · Math

AR · Reasoning / math / science · Human

It is one of the cleaner reads on deliberate reasoning strength rather than style or popularity.

Rank #31 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,453
Percentile: 90.4%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: math. Source rank: #39. Votes: 1720. Organization: alibaba. License: Proprietary.

90.4% percentile inside its fair comparison set

1,453Raw benchmark valueCI 1,438 - 1,467

Text Arena · Math · No Style Control

AR · Reasoning / math / science · Human

It is one of the cleaner reads on deliberate reasoning strength rather than style or popularity.

Rank #31 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,448
Percentile: 90.4%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: math. Source rank: #39. Votes: 1720. Organization: alibaba. License: Proprietary.

90.4% percentile inside its fair comparison set

1,448Raw benchmark valueCI 1,434 - 1,463

Mathematics

LB · Reasoning / math / science · Objective

It is one of the cleaner reads on deliberate reasoning strength rather than style or popularity.

Rank #36 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 83.7%
Percentile: 67.6%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Category: Mathematics. Tasks scored: 4.

67.6% percentile inside its fair comparison set

83.7%Raw benchmark value

Reasoning

LB · Reasoning / math / science · Objective

It is one of the cleaner reads on deliberate reasoning strength rather than style or popularity.

Rank #38 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 75.8%
Percentile: 65.7%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Category: Reasoning. Tasks scored: 4.

65.7% percentile inside its fair comparison set

75.8%Raw benchmark value

AMPS Hard

LB · Reasoning / math / science · Objective

It is one of the cleaner reads on deliberate reasoning strength rather than style or popularity.

Rank #53 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 97%
Percentile: 72.2%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: AMPS_Hard. Category: Mathematics.

72.2% percentile inside its fair comparison set

97%Raw benchmark value

Integrals with game

LB · Reasoning / math / science · Objective

It is one of the cleaner reads on deliberate reasoning strength rather than style or popularity.

Rank #34 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 62%
Percentile: 71.3%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: integrals_with_game. Category: Mathematics.

71.3% percentile inside its fair comparison set

62%Raw benchmark value

Math competition

LB · Reasoning / math / science · Objective

It is one of the cleaner reads on deliberate reasoning strength rather than style or popularity.

Rank #49 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 93.1%
Percentile: 63%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: math_comp. Category: Mathematics.

63% percentile inside its fair comparison set

93.1%Raw benchmark value

Olympiad

LB · Reasoning / math / science · Objective

It is one of the cleaner reads on deliberate reasoning strength rather than style or popularity.

Rank #60 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 82.8%
Percentile: 45.4%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: olympiad. Category: Mathematics.

45.4% percentile inside its fair comparison set

82.8%Raw benchmark value

Theory of mind

LB · Reasoning / math / science · Objective

It is one of the cleaner reads on deliberate reasoning strength rather than style or popularity.

Rank #48 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 67.3%
Percentile: 60.2%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: theory_of_mind. Category: Reasoning.

60.2% percentile inside its fair comparison set

67.3%Raw benchmark value

Zebra puzzle

LB · Reasoning / math / science · Objective

It is one of the cleaner reads on deliberate reasoning strength rather than style or popularity.

Rank #37 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 68%
Percentile: 67.3%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: zebra_puzzle. Category: Reasoning.

67.3% percentile inside its fair comparison set

68%Raw benchmark value

Spatial

LB · Reasoning / math / science · Objective

It is one of the cleaner reads on deliberate reasoning strength rather than style or popularity.

Rank #28 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 98%
Percentile: 88.9%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: spatial. Category: Reasoning.

88.9% percentile inside its fair comparison set

98%Raw benchmark value

Logic with navigation

LB · Reasoning / math / science · Objective

It is one of the cleaner reads on deliberate reasoning strength rather than style or popularity.

Rank #28 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 70%
Percentile: 83.3%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: logic_with_navigation. Category: Reasoning.

83.3% percentile inside its fair comparison set

70%Raw benchmark value

Professional reasoning31 benchmarks75.1%

GDPval-AA

AA · Professional reasoning · Rubric

Agentic performance on economically valuable work tasks.

Rank #20 · Source label: Qwen3.6 Plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Artificial Analysis
Raw value: 1,156
Percentile: 58.7%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Artificial Analysis public leaderboard field `gdpvalBreakdown.elo`.

58.7% percentile inside its fair comparison set

1,156Raw benchmark value

Vals Index

VALS-AI · Professional reasoning · Combined

Weighted model performance across economically relevant Vals tasks.

Rank #19 · Source label: alibaba/qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Vals AI
Raw value: 49
Percentile: 30.8%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Vals AI BenchmarkView overall scores. Vals slug: vals_index; provider: Alibaba.

30.8% percentile inside its fair comparison set

49Raw benchmark valueCI 46 - 52

LegalBench

VALS-AI · Professional reasoning · Objective

Academic legal reasoning tasks.

Rank #20 · Source label: alibaba/qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Vals AI
Raw value: 84.2%
Percentile: 78.9%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Vals AI BenchmarkView overall scores. Vals slug: legal_bench; provider: Alibaba.

78.9% percentile inside its fair comparison set

84.2%Raw benchmark valueCI 83.4% - 85.1%

Finance Agent v2

VALS-AI · Professional reasoning · Objective

Core financial analyst tasks for agentic models.

Rank #16 · Source label: alibaba/qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Vals AI
Raw value: 40.8%
Percentile: 40%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Vals AI BenchmarkView overall scores. Vals slug: fabv2; provider: Alibaba.

40% percentile inside its fair comparison set

40.8%Raw benchmark valueCI 40.6% - 41.1%

TaxEval v2

VALS-AI · Professional reasoning · Objective

Answer quality on tax questions and responses.

Rank #17 · Source label: alibaba/qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Vals AI
Raw value: 74.7%
Percentile: 82.4%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Vals AI BenchmarkView overall scores. Vals slug: tax_eval_v2; provider: Alibaba.

82.4% percentile inside its fair comparison set

74.7%Raw benchmark valueCI 73.1% - 76.4%

MedCode

VALS-AI · Professional reasoning · Objective

Medical billing support and coding tasks.

Rank #36 · Source label: alibaba/qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Vals AI
Raw value: 36.9%
Percentile: 31.4%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Vals AI BenchmarkView overall scores. Vals slug: medcode; provider: Alibaba.

31.4% percentile inside its fair comparison set

36.9%Raw benchmark valueCI 32.9% - 40.8%

MedScribe

VALS-AI · Professional reasoning · Objective

Administrative documentation support for doctors.

Rank #27 · Source label: alibaba/qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Vals AI
Raw value: 77%
Percentile: 48%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Vals AI BenchmarkView overall scores. Vals slug: medscribe; provider: Alibaba.

48% percentile inside its fair comparison set

77%Raw benchmark valueCI 73.2% - 80.7%

Text Arena · Expert

AR · Professional reasoning · Human

Observed user preference in Arena's Text Arena expert leaderboard.

Rank #40 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,475
Percentile: 85.8%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: expert. Source rank: #49. Votes: 2674. Organization: alibaba. License: Proprietary.

85.8% percentile inside its fair comparison set

1,475Raw benchmark valueCI 1,463 - 1,487

Text Arena · Industry Business And Management And Financial Operations

AR · Professional reasoning · Human

Observed user preference in Arena's Text Arena industry_business_and_management_and_financial_operations leaderboard.

Rank #36 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,450
Percentile: 89%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: industry_business_and_management_and_financial_operations. Source rank: #47. Votes: 5967. Organization: alibaba. License: Proprietary.

89% percentile inside its fair comparison set

1,450Raw benchmark valueCI 1,441 - 1,458

Text Arena · Industry Entertainment And Sports And Media

AR · Professional reasoning · Human

Observed user preference in Arena's Text Arena industry_entertainment_and_sports_and_media leaderboard.

Rank #51 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,406
Percentile: 84.5%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: industry_entertainment_and_sports_and_media. Source rank: #64. Votes: 5855. Organization: alibaba. License: Proprietary.

84.5% percentile inside its fair comparison set

1,406Raw benchmark valueCI 1,397 - 1,415

Text Arena · Industry Legal And Government

AR · Professional reasoning · Human

Observed user preference in Arena's Text Arena industry_legal_and_government leaderboard.

Rank #48 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,450
Percentile: 84.2%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: industry_legal_and_government. Source rank: #62. Votes: 2104. Organization: alibaba. License: Proprietary.

84.2% percentile inside its fair comparison set

1,450Raw benchmark valueCI 1,436 - 1,463

Text Arena · Industry Life And Physical And Social Science

AR · Professional reasoning · Human

Observed user preference in Arena's Text Arena industry_life_and_physical_and_social_science leaderboard.

Rank #60 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,449
Percentile: 81.7%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: industry_life_and_physical_and_social_science. Source rank: #75. Votes: 4624. Organization: alibaba. License: Proprietary.

81.7% percentile inside its fair comparison set

1,449Raw benchmark valueCI 1,440 - 1,458

Text Arena · Industry Mathematical

AR · Professional reasoning · Human

Observed user preference in Arena's Text Arena industry_mathematical leaderboard.

Rank #38 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,455
Percentile: 88%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: industry_mathematical. Source rank: #46. Votes: 1706. Organization: alibaba. License: Proprietary.

88% percentile inside its fair comparison set

1,455Raw benchmark valueCI 1,440 - 1,470

Text Arena · Industry Medicine And Healthcare

AR · Professional reasoning · Human

Observed user preference in Arena's Text Arena industry_medicine_and_healthcare leaderboard.

Rank #50 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,461
Percentile: 83.4%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: industry_medicine_and_healthcare. Source rank: #64. Votes: 2004. Organization: alibaba. License: Proprietary.

83.4% percentile inside its fair comparison set

1,461Raw benchmark valueCI 1,446 - 1,475

Text Arena · Industry Software And It Services

AR · Professional reasoning · Human

Observed user preference in Arena's Text Arena industry_software_and_it_services leaderboard.

Rank #43 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,481
Percentile: 87.1%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: industry_software_and_it_services. Source rank: #55. Votes: 12093. Organization: alibaba. License: Proprietary.

87.1% percentile inside its fair comparison set

1,481Raw benchmark valueCI 1,474 - 1,487

Text Arena · Industry Writing And Literature And Language

AR · Professional reasoning · Human

Observed user preference in Arena's Text Arena industry_writing_and_literature_and_language leaderboard.

Rank #43 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,424
Percentile: 87%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: industry_writing_and_literature_and_language. Source rank: #56. Votes: 6570. Organization: alibaba. License: Proprietary.

87% percentile inside its fair comparison set

1,424Raw benchmark valueCI 1,416 - 1,432

Text Arena · Expert · No Style Control

AR · Professional reasoning · Human

Observed user preference in Arena's Text Arena expert leaderboard.

Rank #34 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,454
Percentile: 88%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: expert. Source rank: #42. Votes: 2674. Organization: alibaba. License: Proprietary.

88% percentile inside its fair comparison set

1,454Raw benchmark valueCI 1,443 - 1,466

Text Arena · Industry Business And Management And Financial Operations · No Style Control

AR · Professional reasoning · Human

Observed user preference in Arena's Text Arena industry_business_and_management_and_financial_operations leaderboard.

Rank #29 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,436
Percentile: 91.2%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: industry_business_and_management_and_financial_operations. Source rank: #34. Votes: 5967. Organization: alibaba. License: Proprietary.

91.2% percentile inside its fair comparison set

1,436Raw benchmark valueCI 1,428 - 1,444

Text Arena · Industry Entertainment And Sports And Media · No Style Control

AR · Professional reasoning · Human

Observed user preference in Arena's Text Arena industry_entertainment_and_sports_and_media leaderboard.

Rank #49 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,402
Percentile: 85.1%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: industry_entertainment_and_sports_and_media. Source rank: #60. Votes: 5855. Organization: alibaba. License: Proprietary.

85.1% percentile inside its fair comparison set

1,402Raw benchmark valueCI 1,393 - 1,410

Text Arena · Industry Legal And Government · No Style Control

AR · Professional reasoning · Human

Observed user preference in Arena's Text Arena industry_legal_and_government leaderboard.

Rank #46 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,441
Percentile: 84.9%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: industry_legal_and_government. Source rank: #55. Votes: 2104. Organization: alibaba. License: Proprietary.

84.9% percentile inside its fair comparison set

1,441Raw benchmark valueCI 1,427 - 1,454

Text Arena · Industry Life And Physical And Social Science · No Style Control

AR · Professional reasoning · Human

Observed user preference in Arena's Text Arena industry_life_and_physical_and_social_science leaderboard.

Rank #61 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,436
Percentile: 81.4%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: industry_life_and_physical_and_social_science. Source rank: #74. Votes: 4624. Organization: alibaba. License: Proprietary.

81.4% percentile inside its fair comparison set

1,436Raw benchmark valueCI 1,427 - 1,445

Text Arena · Industry Mathematical · No Style Control

AR · Professional reasoning · Human

Observed user preference in Arena's Text Arena industry_mathematical leaderboard.

Rank #38 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,447
Percentile: 88%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: industry_mathematical. Source rank: #45. Votes: 1706. Organization: alibaba. License: Proprietary.

88% percentile inside its fair comparison set

1,447Raw benchmark valueCI 1,432 - 1,462

Text Arena · Industry Medicine And Healthcare · No Style Control

AR · Professional reasoning · Human

Observed user preference in Arena's Text Arena industry_medicine_and_healthcare leaderboard.

Rank #58 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,445
Percentile: 80.7%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: industry_medicine_and_healthcare. Source rank: #66. Votes: 2004. Organization: alibaba. License: Proprietary.

80.7% percentile inside its fair comparison set

1,445Raw benchmark valueCI 1,431 - 1,459

Text Arena · Industry Software And It Services · No Style Control

AR · Professional reasoning · Human

Observed user preference in Arena's Text Arena industry_software_and_it_services leaderboard.

Rank #35 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,460
Percentile: 89.5%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: industry_software_and_it_services. Source rank: #44. Votes: 12093. Organization: alibaba. License: Proprietary.

89.5% percentile inside its fair comparison set

1,460Raw benchmark valueCI 1,454 - 1,467

Text Arena · Industry Writing And Literature And Language · No Style Control

AR · Professional reasoning · Human

Observed user preference in Arena's Text Arena industry_writing_and_literature_and_language leaderboard.

Rank #37 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,420
Percentile: 88.9%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: industry_writing_and_literature_and_language. Source rank: #47. Votes: 6570. Organization: alibaba. License: Proprietary.

88.9% percentile inside its fair comparison set

1,420Raw benchmark valueCI 1,412 - 1,428

SAGE

VALS-AI · Professional reasoning · Objective

Student Assessment with Generative Evaluation.

Rank #20 · Source label: alibaba/qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Vals AI
Raw value: 44.9%
Percentile: 57.8%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Vals AI BenchmarkView overall scores. Vals slug: sage; provider: Alibaba.

57.8% percentile inside its fair comparison set

44.9%Raw benchmark valueCI 38.1% - 51.6%

Data analysis

LB · Professional reasoning · Objective

Structured data manipulation and table reasoning accuracy.

Rank #31 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 69.9%
Percentile: 72.2%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Category: Data Analysis. Tasks scored: 3.

72.2% percentile inside its fair comparison set

69.9%Raw benchmark value

Overall

LB · Professional reasoning · Objective

Average objective performance across LiveBench's current public category mix.

Rank #32 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 70.9%
Percentile: 71.3%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Category averages included: 7.

71.3% percentile inside its fair comparison set

70.9%Raw benchmark value

Consecutive events

LB · Professional reasoning · Objective

Objective consecutive events score in LiveBench.

Rank #29 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 67%
Percentile: 74.1%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: consecutive_events. Category: Data Analysis.

74.1% percentile inside its fair comparison set

67%Raw benchmark value

Table join

LB · Professional reasoning · Objective

Objective table join score in LiveBench.

Rank #44 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 44.7%
Percentile: 60.2%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: tablejoin. Category: Data Analysis.

60.2% percentile inside its fair comparison set

44.7%Raw benchmark value

Table reformat

LB · Professional reasoning · Objective

Objective table reformat score in LiveBench.

Rank #71 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 98%
Percentile: 74.1%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: tablereformat. Category: Data Analysis.

74.1% percentile inside its fair comparison set

98%Raw benchmark value

Search / tool use1 benchmark97.7%

Tau2-Bench Telecom

AA · Search / tool use · Objective

It matters when the model must browse, call tools, and recover useful answers from external systems.

Rank #9 · Source label: Qwen3.6 Plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Artificial Analysis
Raw value: 97.7%
Percentile: 97.7%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Artificial Analysis public leaderboard field `tau2`.

97.7% percentile inside its fair comparison set

97.7%Raw benchmark value

Long context2 benchmarks79.3%

Long Context Reasoning

AA · Long context · Objective

It checks whether long-context claims survive contact with retrieval, memory, or long-document tasks.

Rank #8 · Source label: Qwen3.6 Plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Artificial Analysis
Raw value: 69.7%
Percentile: 98.4%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Artificial Analysis public leaderboard field `lcr`.

98.4% percentile inside its fair comparison set

69.7%Raw benchmark value

CorpFin v2

VALS-AI · Long context · Objective

It checks whether long-context claims survive contact with retrieval, memory, or long-document tasks.

Rank #36 · Source label: alibaba/qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Vals AI
Raw value: 61.9%
Percentile: 60.2%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Vals AI BenchmarkView overall scores. Vals slug: corp_fin_v2; provider: Alibaba.

60.2% percentile inside its fair comparison set

61.9%Raw benchmark valueCI 60.1% - 63.8%

Vision understanding2 benchmarks86.2%

MMMU-Pro

AA · Vision understanding · Objective

It is useful when the model must read charts, UI, screenshots, or visual scenes rather than text alone.

Rank #8 · Source label: Qwen3.6 Plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Artificial Analysis
Raw value: 78%
Percentile: 94.8%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Artificial Analysis public leaderboard field `mmmuPro`.

94.8% percentile inside its fair comparison set

78%Raw benchmark value

MMMU Pro

VALS-AI · Vision understanding · Objective

It is useful when the model must read charts, UI, screenshots, or visual scenes rather than text alone.

Rank #14 · Source label: alibaba/qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Vals AI
Raw value: 84.2%
Percentile: 77.6%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Vals AI BenchmarkView overall scores. Vals slug: mmmu; provider: Alibaba.

77.6% percentile inside its fair comparison set

84.2%Raw benchmark valueCI 82.4% - 85.9%

Document understanding2 benchmarks52.5%

Vals Multimodal Index

VALS-AI · Document understanding · Combined

It matters when the job is reading PDFs, tables, forms, or mixed-layout documents rather than plain chat.

Rank #14 · Source label: alibaba/qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Vals AI
Raw value: 52
Percentile: 31.6%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Vals AI BenchmarkView overall scores. Vals slug: vals_multimodal_index; provider: Alibaba.

31.6% percentile inside its fair comparison set

52Raw benchmark valueCI 49 - 54

MortgageTax

VALS-AI · Document understanding · Objective

It matters when the job is reading PDFs, tables, forms, or mixed-layout documents rather than plain chat.

Rank #17 · Source label: alibaba/qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Vals AI
Raw value: 68%
Percentile: 73.3%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Vals AI BenchmarkView overall scores. Vals slug: mortgage_tax; provider: Alibaba.

73.3% percentile inside its fair comparison set

68%Raw benchmark valueCI 66.2% - 69.7%

Multilingual14 benchmarks85.2%

Text Arena · Chinese

AR · Multilingual · Human

Observed user preference in Arena's Text Arena chinese leaderboard.

Rank #40 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,488
Percentile: 86.8%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: chinese. Source rank: #50. Votes: 1425. Organization: alibaba. License: Proprietary.

86.8% percentile inside its fair comparison set

1,488Raw benchmark valueCI 1,471 - 1,505

Text Arena · French

AR · Multilingual · Human

Observed user preference in Arena's Text Arena french leaderboard.

Rank #31 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,473
Percentile: 86.1%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: french. Source rank: #42. Votes: 1099. Organization: alibaba. License: Proprietary.

86.1% percentile inside its fair comparison set

1,473Raw benchmark valueCI 1,453 - 1,493

Text Arena · German

AR · Multilingual · Human

Observed user preference in Arena's Text Arena german leaderboard.

Rank #25 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,457
Percentile: 89.9%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: german. Source rank: #32. Votes: 448. Organization: alibaba. License: Proprietary.

89.9% percentile inside its fair comparison set

1,457Raw benchmark valueCI 1,428 - 1,485

Text Arena · Japanese

AR · Multilingual · Human

Observed user preference in Arena's Text Arena japanese leaderboard.

Rank #29 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,418
Percentile: 86.2%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: japanese. Source rank: #40. Votes: 265. Organization: alibaba. License: Proprietary.

86.2% percentile inside its fair comparison set

1,418Raw benchmark valueCI 1,380 - 1,456

Text Arena · Korean

AR · Multilingual · Human

Observed user preference in Arena's Text Arena korean leaderboard.

Rank #49 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,386
Percentile: 76.9%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: korean. Source rank: #62. Votes: 469. Organization: alibaba. License: Proprietary.

76.9% percentile inside its fair comparison set

1,386Raw benchmark valueCI 1,358 - 1,414

Text Arena · Russian

AR · Multilingual · Human

Observed user preference in Arena's Text Arena russian leaderboard.

Rank #47 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,438
Percentile: 84.1%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: russian. Source rank: #61. Votes: 3070. Organization: alibaba. License: Proprietary.

84.1% percentile inside its fair comparison set

1,438Raw benchmark valueCI 1,427 - 1,449

Text Arena · Spanish

AR · Multilingual · Human

Observed user preference in Arena's Text Arena spanish leaderboard.

Rank #47 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,436
Percentile: 78.5%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: spanish. Source rank: #59. Votes: 993. Organization: alibaba. License: Proprietary.

78.5% percentile inside its fair comparison set

1,436Raw benchmark valueCI 1,416 - 1,456

Text Arena · Chinese · No Style Control

AR · Multilingual · Human

Observed user preference in Arena's Text Arena chinese leaderboard.

Rank #33 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,482
Percentile: 89.2%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: chinese. Source rank: #38. Votes: 1425. Organization: alibaba. License: Proprietary.

89.2% percentile inside its fair comparison set

1,482Raw benchmark valueCI 1,465 - 1,498

Text Arena · French · No Style Control

AR · Multilingual · Human

Observed user preference in Arena's Text Arena french leaderboard.

Rank #30 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,461
Percentile: 86.6%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: french. Source rank: #36. Votes: 1099. Organization: alibaba. License: Proprietary.

86.6% percentile inside its fair comparison set

1,461Raw benchmark valueCI 1,441 - 1,481

Text Arena · German · No Style Control

AR · Multilingual · Human

Observed user preference in Arena's Text Arena german leaderboard.

Rank #17 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,457
Percentile: 93.2%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: german. Source rank: #20. Votes: 448. Organization: alibaba. License: Proprietary.

93.2% percentile inside its fair comparison set

1,457Raw benchmark valueCI 1,429 - 1,486

Text Arena · Japanese · No Style Control

AR · Multilingual · Human

Observed user preference in Arena's Text Arena japanese leaderboard.

Rank #23 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,413
Percentile: 89.2%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: japanese. Source rank: #31. Votes: 265. Organization: alibaba. License: Proprietary.

89.2% percentile inside its fair comparison set

1,413Raw benchmark valueCI 1,375 - 1,451

Text Arena · Korean · No Style Control

AR · Multilingual · Human

Observed user preference in Arena's Text Arena korean leaderboard.

Rank #46 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,384
Percentile: 78.4%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: korean. Source rank: #56. Votes: 469. Organization: alibaba. License: Proprietary.

78.4% percentile inside its fair comparison set

1,384Raw benchmark valueCI 1,357 - 1,412

Text Arena · Russian · No Style Control

AR · Multilingual · Human

Observed user preference in Arena's Text Arena russian leaderboard.

Rank #37 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,432
Percentile: 87.5%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: russian. Source rank: #46. Votes: 3070. Organization: alibaba. License: Proprietary.

87.5% percentile inside its fair comparison set

1,432Raw benchmark valueCI 1,421 - 1,443

Text Arena · Spanish · No Style Control

AR · Multilingual · Human

Observed user preference in Arena's Text Arena spanish leaderboard.

Rank #42 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,438
Percentile: 80.8%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: spanish. Source rank: #51. Votes: 993. Organization: alibaba. License: Proprietary.

80.8% percentile inside its fair comparison set

1,438Raw benchmark valueCI 1,418 - 1,458

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Model profile · Qwen

qwen3.6-plus

Open weightsmid · registry tag 2026 benchmark-derived

Thin verified coverage

Reads as thin verified coverage across the resolved source data.

Visible coverage: 50.7%
Verified coverage: 50.7%
Spread: n/a
Last verified: Jun 20, 2026

textcodedocumentvision3 aliases34 official source links

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Data version

Current snapshot.

Data version Jun 20, 2026Model list checked9 providers · 1081 tracked modelsPage refreshed Jul 5, 2026

The registry snapshot and page stamp are shown so a stale deploy is visible at a glance.

Source-linked scores by benchmark

Each row keeps the benchmark source, source type, raw metric, and percentile inside its fair comparison set.

Thin verified coverageThis model currently reads as thin verified coverage across the resolved source data.

Chat / text37 benchmarks72.5%

Intelligence Index

AA · Chat / text · Combined

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #16 · Source label: Qwen3.6 Plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Artificial Analysis
Raw value: 40
Percentile: 96.2%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Artificial Analysis public leaderboard field `intelligenceIndex`.

96.2% percentile inside its fair comparison set

40Raw benchmark value

AA-Omniscience accuracy

AA · Chat / text · Objective

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #45 · Source label: Qwen3.6 Plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Artificial Analysis
Raw value: 26.2%
Percentile: 85.2%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Artificial Analysis public leaderboard field `omniscienceAccuracy`.

85.2% percentile inside its fair comparison set

26.2%Raw benchmark value

AA-Omniscience non-hallucination

AA · Chat / text · Objective

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #15 · Source label: Qwen3.6 Plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Artificial Analysis
Raw value: 68%
Percentile: 95.3%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Artificial Analysis public leaderboard field `omniscienceNonHallucination`.

95.3% percentile inside its fair comparison set

68%Raw benchmark value

IFBench

AA · Chat / text · Objective

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #13 · Source label: Qwen3.6 Plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Artificial Analysis
Raw value: 75.2%
Percentile: 96.2%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Artificial Analysis public leaderboard field `ifbench`.

96.2% percentile inside its fair comparison set

75.2%Raw benchmark value

Blended price

AA · Chat / text · Speed / cost

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #178 · Source label: Qwen3.6 Plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Artificial Analysis
Raw value: $1.1 /1M tokens
Percentile: 36.2%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Artificial Analysis public leaderboard field `price1mBlended0To3To1`.

36.2% percentile inside its fair comparison set

$1.1 /1M tokensRaw benchmark value

Input price

AA · Chat / text · Speed / cost

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #165 · Source label: Qwen3.6 Plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Artificial Analysis
Raw value: $0.5 /1M input tokens
Percentile: 42.8%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Artificial Analysis public leaderboard field `price1mInputTokens`.

42.8% percentile inside its fair comparison set

$0.5 /1M input tokensRaw benchmark value

Output price

AA · Chat / text · Speed / cost

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #188 · Source label: Qwen3.6 Plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Artificial Analysis
Raw value: $3 /1M output tokens
Percentile: 33%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Artificial Analysis public leaderboard field `price1mOutputTokens`.

33% percentile inside its fair comparison set

$3 /1M output tokensRaw benchmark value

Output Speed

AA · Chat / text · Speed / cost

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #167 · Source label: Qwen3.6 Plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Artificial Analysis
Raw value: 52.1 tokens/s
Percentile: 21%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Artificial Analysis public leaderboard field `medianOutputTokensPerSecond`.

21% percentile inside its fair comparison set

52.1 tokens/sRaw benchmark value

Time to first token

AA · Chat / text · Speed / cost

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #126 · Source label: Qwen3.6 Plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Artificial Analysis
Raw value: 2.58s
Percentile: 40.5%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Artificial Analysis public leaderboard field `medianTimeToFirstTokenSeconds`.

40.5% percentile inside its fair comparison set

2.58sRaw benchmark value

Time to first answer token

AA · Chat / text · Speed / cost

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #208 · Source label: Qwen3.6 Plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Artificial Analysis
Raw value: 109.06s
Percentile: 1.4%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Artificial Analysis public leaderboard field `medianTimeToFirstAnswerTokenSeconds`.

1.4% percentile inside its fair comparison set

109.06sRaw benchmark value

Text Arena

AR · Chat / text · Human

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #43 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,444
Percentile: 87.1%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: overall. Source rank: #55. Votes: 28997. Organization: alibaba. License: Proprietary.

87.1% percentile inside its fair comparison set

1,444Raw benchmark valueCI 1,440 - 1,449

Text Arena · Creative Writing

AR · Chat / text · Human

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #50 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,406
Percentile: 84.8%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: creative_writing. Source rank: #64. Votes: 4136. Organization: alibaba. License: Proprietary.

84.8% percentile inside its fair comparison set

1,406Raw benchmark valueCI 1,396 - 1,416

Text Arena · English

AR · Chat / text · Human

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #39 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,457
Percentile: 88.3%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: english. Source rank: #51. Votes: 13474. Organization: alibaba. License: Proprietary.

88.3% percentile inside its fair comparison set

1,457Raw benchmark valueCI 1,451 - 1,463

Text Arena · Exclude Ties

AR · Chat / text · Human

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #46 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,443
Percentile: 86.2%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: exclude_ties. Source rank: #58. Votes: 21919. Organization: alibaba. License: Proprietary.

86.2% percentile inside its fair comparison set

1,443Raw benchmark valueCI 1,437 - 1,449

Text Arena · Hard Prompts

AR · Chat / text · Human

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #38 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,467
Percentile: 88.6%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: hard_prompts. Source rank: #50. Votes: 19411. Organization: alibaba. License: Proprietary.

88.6% percentile inside its fair comparison set

1,467Raw benchmark valueCI 1,462 - 1,473

Text Arena · Hard Prompts English

AR · Chat / text · Human

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #38 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,474
Percentile: 88.6%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: hard_prompts_english. Source rank: #49. Votes: 9526. Organization: alibaba. License: Proprietary.

88.6% percentile inside its fair comparison set

1,474Raw benchmark valueCI 1,467 - 1,481

Text Arena · Instruction Following

AR · Chat / text · Human

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #39 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,436
Percentile: 88.3%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: instruction_following. Source rank: #50. Votes: 9700. Organization: alibaba. License: Proprietary.

88.3% percentile inside its fair comparison set

1,436Raw benchmark valueCI 1,429 - 1,443

Text Arena · Longer Query

AR · Chat / text · Human

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #39 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,454
Percentile: 87.5%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: longer_query. Source rank: #50. Votes: 12119. Organization: alibaba. License: Proprietary.

87.5% percentile inside its fair comparison set

1,454Raw benchmark valueCI 1,447 - 1,461

Text Arena · Multi Turn

AR · Chat / text · Human

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #50 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,444
Percentile: 84.8%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: multi_turn. Source rank: #66. Votes: 5050. Organization: alibaba. License: Proprietary.

84.8% percentile inside its fair comparison set

1,444Raw benchmark valueCI 1,435 - 1,453

Text Arena · No Style Control

AR · Chat / text · Human

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #40 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,438
Percentile: 88%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: overall. Source rank: #49. Votes: 28997. Organization: alibaba. License: Proprietary.

88% percentile inside its fair comparison set

1,438Raw benchmark valueCI 1,433 - 1,442

Text Arena · Creative Writing · No Style Control

AR · Chat / text · Human

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #51 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,402
Percentile: 84.5%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: creative_writing. Source rank: #64. Votes: 4136. Organization: alibaba. License: Proprietary.

84.5% percentile inside its fair comparison set

1,402Raw benchmark valueCI 1,392 - 1,412

Text Arena · English · No Style Control

AR · Chat / text · Human

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #40 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,447
Percentile: 88%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: english. Source rank: #50. Votes: 13474. Organization: alibaba. License: Proprietary.

88% percentile inside its fair comparison set

1,447Raw benchmark valueCI 1,441 - 1,453

Text Arena · Exclude Ties · No Style Control

AR · Chat / text · Human

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #42 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,432
Percentile: 87.4%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: exclude_ties. Source rank: #51. Votes: 21919. Organization: alibaba. License: Proprietary.

87.4% percentile inside its fair comparison set

1,432Raw benchmark valueCI 1,426 - 1,438

Text Arena · Hard Prompts · No Style Control

AR · Chat / text · Human

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #37 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,449
Percentile: 88.9%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: hard_prompts. Source rank: #45. Votes: 19411. Organization: alibaba. License: Proprietary.

88.9% percentile inside its fair comparison set

1,449Raw benchmark valueCI 1,443 - 1,454

Text Arena · Hard Prompts English · No Style Control

AR · Chat / text · Human

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #37 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,454
Percentile: 88.9%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: hard_prompts_english. Source rank: #44. Votes: 9526. Organization: alibaba. License: Proprietary.

88.9% percentile inside its fair comparison set

1,454Raw benchmark valueCI 1,447 - 1,461

Text Arena · Instruction Following · No Style Control

AR · Chat / text · Human

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #37 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,425
Percentile: 88.9%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: instruction_following. Source rank: #45. Votes: 9700. Organization: alibaba. License: Proprietary.

88.9% percentile inside its fair comparison set

1,425Raw benchmark valueCI 1,418 - 1,432

Text Arena · Longer Query · No Style Control

AR · Chat / text · Human

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #36 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,440
Percentile: 88.5%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: longer_query. Source rank: #44. Votes: 12119. Organization: alibaba. License: Proprietary.

88.5% percentile inside its fair comparison set

1,440Raw benchmark valueCI 1,433 - 1,446

Text Arena · Multi Turn · No Style Control

AR · Chat / text · Human

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #47 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,437
Percentile: 85.8%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: multi_turn. Source rank: #58. Votes: 5050. Organization: alibaba. License: Proprietary.

85.8% percentile inside its fair comparison set

1,437Raw benchmark valueCI 1,428 - 1,446

Instruction following

LB · Chat / text · Objective

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #40 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 58.3%
Percentile: 63.9%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Category: IF. Tasks scored: 4.

63.9% percentile inside its fair comparison set

58.3%Raw benchmark value

Language

LB · Chat / text · Objective

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #48 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 75%
Percentile: 56.5%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Category: Language. Tasks scored: 3.

56.5% percentile inside its fair comparison set

75%Raw benchmark value

Paraphrase

LB · Chat / text · Objective

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #29 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 60.6%
Percentile: 74.1%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: paraphrase. Category: IF.

74.1% percentile inside its fair comparison set

60.6%Raw benchmark value

Simplify

LB · Chat / text · Objective

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #49 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 51.6%
Percentile: 55.6%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: simplify. Category: IF.

55.6% percentile inside its fair comparison set

51.6%Raw benchmark value

Story generation

LB · Chat / text · Objective

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #54 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 56.9%
Percentile: 50.9%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: story_generation. Category: IF.

50.9% percentile inside its fair comparison set

56.9%Raw benchmark value

Summarize

LB · Chat / text · Objective

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #28 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 64.3%
Percentile: 75%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: summarize. Category: IF.

75% percentile inside its fair comparison set

64.3%Raw benchmark value

Connections

LB · Chat / text · Objective

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #52 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 90.5%
Percentile: 53.7%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: connections. Category: Language.

53.7% percentile inside its fair comparison set

90.5%Raw benchmark value

Plot unscrambling

LB · Chat / text · Objective

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #58 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 52.5%
Percentile: 47.2%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: plot_unscrambling. Category: Language.

47.2% percentile inside its fair comparison set

52.5%Raw benchmark value

Typos

LB · Chat / text · Objective

It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.

Rank #26 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 82%
Percentile: 86%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: typos. Category: Language.

86% percentile inside its fair comparison set

82%Raw benchmark value

Coding24 benchmarks72.7%

Terminal-Bench Hard

AA · Coding · Objective

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #13 · Source label: Qwen3.6 Plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Artificial Analysis
Raw value: 43.9%
Percentile: 96.4%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Artificial Analysis public leaderboard field `terminalbenchHard`.

96.4% percentile inside its fair comparison set

43.9%Raw benchmark value

SciCode

AA · Coding · Objective

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #51 · Source label: Qwen3.6 Plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Artificial Analysis
Raw value: 40.7%
Percentile: 86.4%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Artificial Analysis public leaderboard field `scicode`.

86.4% percentile inside its fair comparison set

40.7%Raw benchmark value

Coding Index

AA · Coding · Combined

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #22 · Source label: Qwen3.6 Plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Artificial Analysis
Raw value: 55
Percentile: 72%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Artificial Analysis public leaderboard field `codingIndex`.

72% percentile inside its fair comparison set

55Raw benchmark value

Agentic Index

AA · Coding · Combined

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #19 · Source label: Qwen3.6 Plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Artificial Analysis
Raw value: 28
Percentile: 60.9%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Artificial Analysis public leaderboard field `agenticIndex`.

60.9% percentile inside its fair comparison set

28Raw benchmark value

Code Arena

AR · Coding · Human

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #18 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,462
Percentile: 76.7%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: overall. Source rank: #23. Votes: 8408. Organization: alibaba. License: Proprietary.

76.7% percentile inside its fair comparison set

1,462Raw benchmark valueCI 1,455 - 1,469

WebDev Arena

AR · Coding · Human

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #18 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,462
Percentile: 76.7%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: webdev. Source rank: #23. Votes: 8408. Organization: alibaba. License: Proprietary.

76.7% percentile inside its fair comparison set

1,462Raw benchmark valueCI 1,455 - 1,469

Code Arena · Webdev Html

AR · Coding · Human

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #19 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,463
Percentile: 75.3%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: webdev-html. Source rank: #25. Votes: 1067. Organization: alibaba. License: Proprietary.

75.3% percentile inside its fair comparison set

1,463Raw benchmark valueCI 1,445 - 1,482

Code Arena · Webdev React

AR · Coding · Human

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #18 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,456
Percentile: 71.2%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: webdev-react. Source rank: #23. Votes: 7330. Organization: alibaba. License: Proprietary.

71.2% percentile inside its fair comparison set

1,456Raw benchmark valueCI 1,449 - 1,464

Code Migration

VALS-AI · Coding · Objective

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #18 · Source label: alibaba/qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Vals AI
Raw value: 11.1%
Percentile: 22.7%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Vals AI BenchmarkView overall scores. Vals slug: code-migration; provider: Alibaba.

22.7% percentile inside its fair comparison set

11.1%Raw benchmark valueCI 8.5% - 13.7%

LiveCodeBench

VALS-AI · Coding · Objective

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #14 · Source label: alibaba/qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Vals AI
Raw value: 86%
Percentile: 85.6%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Vals AI BenchmarkView overall scores. Vals slug: lcb; provider: Alibaba.

85.6% percentile inside its fair comparison set

86%Raw benchmark valueCI 84% - 87.9%

ProgramBench

VALS-AI · Coding · Objective

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #12 · Source label: alibaba/qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Vals AI
Raw value: 0%
Percentile: 70%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Vals AI BenchmarkView overall scores. Vals slug: programbench; provider: Alibaba.

70% percentile inside its fair comparison set

0%Raw benchmark valueCI 0% - 0%

SWE-bench Verified

VALS-AI · Coding · Objective

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #26 · Source label: alibaba/qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Vals AI
Raw value: 73.4%
Percentile: 53.7%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Vals AI BenchmarkView overall scores. Vals slug: swebench; provider: Alibaba.

53.7% percentile inside its fair comparison set

73.4%Raw benchmark valueCI 69.5% - 77.3%

Terminal-Bench 2.1

VALS-AI · Coding · Objective

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #18 · Source label: alibaba/qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Vals AI
Raw value: 53.2%
Percentile: 37%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Vals AI BenchmarkView overall scores. Vals slug: terminal-bench-2-1; provider: Alibaba.

37% percentile inside its fair comparison set

53.2%Raw benchmark valueCI 50% - 56.4%

Vibe Code Bench v1.1

VALS-AI · Coding · Objective

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #24 · Source label: alibaba/qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Vals AI
Raw value: 25.6%
Percentile: 53.1%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Vals AI BenchmarkView overall scores. Vals slug: vibe-code; provider: Alibaba.

53.1% percentile inside its fair comparison set

25.6%Raw benchmark valueCI 17.9% - 33.2%

Text Arena · Coding

AR · Coding · Human

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #42 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,493
Percentile: 87.2%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: coding. Source rank: #52. Votes: 8769. Organization: alibaba. License: Proprietary.

87.2% percentile inside its fair comparison set

1,493Raw benchmark valueCI 1,486 - 1,501

Text Arena · Coding · No Style Control

AR · Coding · Human

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #35 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,464
Percentile: 89.4%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: coding. Source rank: #43. Votes: 8769. Organization: alibaba. License: Proprietary.

89.4% percentile inside its fair comparison set

1,464Raw benchmark valueCI 1,457 - 1,472

Code Arena · Image To Webdev

AR · Coding · Human

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #8 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,467
Percentile: 58.8%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: image_to_webdev. Source rank: #11. Votes: 2602. Organization: alibaba. License: Proprietary.

58.8% percentile inside its fair comparison set

1,467Raw benchmark valueCI 1,454 - 1,480

Agentic coding

LB · Coding · Objective

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #29 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 55%
Percentile: 78.7%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Category: Agentic Coding. Tasks scored: 3.

78.7% percentile inside its fair comparison set

55%Raw benchmark value

Coding

LB · Coding · Objective

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #25 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 78.2%
Percentile: 81.5%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Category: Coding. Tasks scored: 2.

81.5% percentile inside its fair comparison set

78.2%Raw benchmark value

JavaScript

LB · Coding · Objective

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #42 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 45%
Percentile: 73.1%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: javascript. Category: Agentic Coding.

73.1% percentile inside its fair comparison set

45%Raw benchmark value

TypeScript

LB · Coding · Objective

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #37 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 45%
Percentile: 76.6%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: typescript. Category: Agentic Coding.

76.6% percentile inside its fair comparison set

45%Raw benchmark value

Python

LB · Coding · Objective

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #22 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 75%
Percentile: 90.7%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: python. Category: Agentic Coding.

90.7% percentile inside its fair comparison set

75%Raw benchmark value

Coding generation

LB · Coding · Objective

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #18 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 80.3%
Percentile: 91.7%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: code_generation. Category: Coding.

91.7% percentile inside its fair comparison set

80.3%Raw benchmark value

Coding completion

LB · Coding · Objective

It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.

Rank #41 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 76.1%
Percentile: 78.7%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: code_completion. Category: Coding.

78.7% percentile inside its fair comparison set

76.1%Raw benchmark value

Reasoning / math / science17 benchmarks77.3%

Humanity's Last Exam

AA · Reasoning / math / science · Objective

It is one of the cleaner reads on deliberate reasoning strength rather than style or popularity.

Rank #22 · Source label: Qwen3.6 Plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Artificial Analysis
Raw value: 25.7%
Percentile: 94.3%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Artificial Analysis public leaderboard field `hle`.

94.3% percentile inside its fair comparison set

25.7%Raw benchmark value

GPQA

AA · Reasoning / math / science · Objective

It is one of the cleaner reads on deliberate reasoning strength rather than style or popularity.

Rank #15 · Source label: Qwen3.6 Plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Artificial Analysis
Raw value: 88.2%
Percentile: 96.3%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Artificial Analysis public leaderboard field `gpqa`.

96.3% percentile inside its fair comparison set

88.2%Raw benchmark value

CritPt

AA · Reasoning / math / science · Objective

It is one of the cleaner reads on deliberate reasoning strength rather than style or popularity.

Rank #27 · Source label: Qwen3.6 Plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Artificial Analysis
Raw value: 2.9%
Percentile: 91.4%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Artificial Analysis public leaderboard field `critpt`.

91.4% percentile inside its fair comparison set

2.9%Raw benchmark value

GPQA Diamond

VALS-AI · Reasoning / math / science · Objective

It is one of the cleaner reads on deliberate reasoning strength rather than style or popularity.

Rank #21 · Source label: alibaba/qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Vals AI
Raw value: 87.4%
Percentile: 78.7%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Vals AI BenchmarkView overall scores. Vals slug: gpqa; provider: Alibaba.

78.7% percentile inside its fair comparison set

87.4%Raw benchmark valueCI 84.1% - 90.6%

MMLU Pro

VALS-AI · Reasoning / math / science · Objective

It is one of the cleaner reads on deliberate reasoning strength rather than style or popularity.

Rank #12 · Source label: alibaba/qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Vals AI
Raw value: 87.7%
Percentile: 87.6%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Vals AI BenchmarkView overall scores. Vals slug: mmlu_pro; provider: Alibaba.

87.6% percentile inside its fair comparison set

87.7%Raw benchmark valueCI 87% - 88.3%

Text Arena · Math

AR · Reasoning / math / science · Human

It is one of the cleaner reads on deliberate reasoning strength rather than style or popularity.

Rank #31 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,453
Percentile: 90.4%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: math. Source rank: #39. Votes: 1720. Organization: alibaba. License: Proprietary.

90.4% percentile inside its fair comparison set

1,453Raw benchmark valueCI 1,438 - 1,467

Text Arena · Math · No Style Control

AR · Reasoning / math / science · Human

It is one of the cleaner reads on deliberate reasoning strength rather than style or popularity.

Rank #31 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,448
Percentile: 90.4%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: math. Source rank: #39. Votes: 1720. Organization: alibaba. License: Proprietary.

90.4% percentile inside its fair comparison set

1,448Raw benchmark valueCI 1,434 - 1,463

Mathematics

LB · Reasoning / math / science · Objective

It is one of the cleaner reads on deliberate reasoning strength rather than style or popularity.

Rank #36 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 83.7%
Percentile: 67.6%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Category: Mathematics. Tasks scored: 4.

67.6% percentile inside its fair comparison set

83.7%Raw benchmark value

Reasoning

LB · Reasoning / math / science · Objective

It is one of the cleaner reads on deliberate reasoning strength rather than style or popularity.

Rank #38 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 75.8%
Percentile: 65.7%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Category: Reasoning. Tasks scored: 4.

65.7% percentile inside its fair comparison set

75.8%Raw benchmark value

AMPS Hard

LB · Reasoning / math / science · Objective

It is one of the cleaner reads on deliberate reasoning strength rather than style or popularity.

Rank #53 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 97%
Percentile: 72.2%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: AMPS_Hard. Category: Mathematics.

72.2% percentile inside its fair comparison set

97%Raw benchmark value

Integrals with game

LB · Reasoning / math / science · Objective

It is one of the cleaner reads on deliberate reasoning strength rather than style or popularity.

Rank #34 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 62%
Percentile: 71.3%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: integrals_with_game. Category: Mathematics.

71.3% percentile inside its fair comparison set

62%Raw benchmark value

Math competition

LB · Reasoning / math / science · Objective

It is one of the cleaner reads on deliberate reasoning strength rather than style or popularity.

Rank #49 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 93.1%
Percentile: 63%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: math_comp. Category: Mathematics.

63% percentile inside its fair comparison set

93.1%Raw benchmark value

Olympiad

LB · Reasoning / math / science · Objective

It is one of the cleaner reads on deliberate reasoning strength rather than style or popularity.

Rank #60 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 82.8%
Percentile: 45.4%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: olympiad. Category: Mathematics.

45.4% percentile inside its fair comparison set

82.8%Raw benchmark value

Theory of mind

LB · Reasoning / math / science · Objective

It is one of the cleaner reads on deliberate reasoning strength rather than style or popularity.

Rank #48 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 67.3%
Percentile: 60.2%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: theory_of_mind. Category: Reasoning.

60.2% percentile inside its fair comparison set

67.3%Raw benchmark value

Zebra puzzle

LB · Reasoning / math / science · Objective

It is one of the cleaner reads on deliberate reasoning strength rather than style or popularity.

Rank #37 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 68%
Percentile: 67.3%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: zebra_puzzle. Category: Reasoning.

67.3% percentile inside its fair comparison set

68%Raw benchmark value

Spatial

LB · Reasoning / math / science · Objective

It is one of the cleaner reads on deliberate reasoning strength rather than style or popularity.

Rank #28 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 98%
Percentile: 88.9%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: spatial. Category: Reasoning.

88.9% percentile inside its fair comparison set

98%Raw benchmark value

Logic with navigation

LB · Reasoning / math / science · Objective

It is one of the cleaner reads on deliberate reasoning strength rather than style or popularity.

Rank #28 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 70%
Percentile: 83.3%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: logic_with_navigation. Category: Reasoning.

83.3% percentile inside its fair comparison set

70%Raw benchmark value

Professional reasoning31 benchmarks75.1%

GDPval-AA

AA · Professional reasoning · Rubric

Agentic performance on economically valuable work tasks.

Rank #20 · Source label: Qwen3.6 Plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Artificial Analysis
Raw value: 1,156
Percentile: 58.7%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Artificial Analysis public leaderboard field `gdpvalBreakdown.elo`.

58.7% percentile inside its fair comparison set

1,156Raw benchmark value

Vals Index

VALS-AI · Professional reasoning · Combined

Weighted model performance across economically relevant Vals tasks.

Rank #19 · Source label: alibaba/qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Vals AI
Raw value: 49
Percentile: 30.8%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Vals AI BenchmarkView overall scores. Vals slug: vals_index; provider: Alibaba.

30.8% percentile inside its fair comparison set

49Raw benchmark valueCI 46 - 52

LegalBench

VALS-AI · Professional reasoning · Objective

Academic legal reasoning tasks.

Rank #20 · Source label: alibaba/qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Vals AI
Raw value: 84.2%
Percentile: 78.9%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Vals AI BenchmarkView overall scores. Vals slug: legal_bench; provider: Alibaba.

78.9% percentile inside its fair comparison set

84.2%Raw benchmark valueCI 83.4% - 85.1%

Finance Agent v2

VALS-AI · Professional reasoning · Objective

Core financial analyst tasks for agentic models.

Rank #16 · Source label: alibaba/qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Vals AI
Raw value: 40.8%
Percentile: 40%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Vals AI BenchmarkView overall scores. Vals slug: fabv2; provider: Alibaba.

40% percentile inside its fair comparison set

40.8%Raw benchmark valueCI 40.6% - 41.1%

TaxEval v2

VALS-AI · Professional reasoning · Objective

Answer quality on tax questions and responses.

Rank #17 · Source label: alibaba/qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Vals AI
Raw value: 74.7%
Percentile: 82.4%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Vals AI BenchmarkView overall scores. Vals slug: tax_eval_v2; provider: Alibaba.

82.4% percentile inside its fair comparison set

74.7%Raw benchmark valueCI 73.1% - 76.4%

MedCode

VALS-AI · Professional reasoning · Objective

Medical billing support and coding tasks.

Rank #36 · Source label: alibaba/qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Vals AI
Raw value: 36.9%
Percentile: 31.4%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Vals AI BenchmarkView overall scores. Vals slug: medcode; provider: Alibaba.

31.4% percentile inside its fair comparison set

36.9%Raw benchmark valueCI 32.9% - 40.8%

MedScribe

VALS-AI · Professional reasoning · Objective

Administrative documentation support for doctors.

Rank #27 · Source label: alibaba/qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Vals AI
Raw value: 77%
Percentile: 48%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Vals AI BenchmarkView overall scores. Vals slug: medscribe; provider: Alibaba.

48% percentile inside its fair comparison set

77%Raw benchmark valueCI 73.2% - 80.7%

Text Arena · Expert

AR · Professional reasoning · Human

Observed user preference in Arena's Text Arena expert leaderboard.

Rank #40 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,475
Percentile: 85.8%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: expert. Source rank: #49. Votes: 2674. Organization: alibaba. License: Proprietary.

85.8% percentile inside its fair comparison set

1,475Raw benchmark valueCI 1,463 - 1,487

Text Arena · Industry Business And Management And Financial Operations

AR · Professional reasoning · Human

Observed user preference in Arena's Text Arena industry_business_and_management_and_financial_operations leaderboard.

Rank #36 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,450
Percentile: 89%
Last updated: recent
Eligibility: benchmark_derived_model

89% percentile inside its fair comparison set

1,450Raw benchmark valueCI 1,441 - 1,458

Text Arena · Industry Entertainment And Sports And Media

AR · Professional reasoning · Human

Observed user preference in Arena's Text Arena industry_entertainment_and_sports_and_media leaderboard.

Rank #51 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,406
Percentile: 84.5%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: industry_entertainment_and_sports_and_media. Source rank: #64. Votes: 5855. Organization: alibaba. License: Proprietary.

84.5% percentile inside its fair comparison set

1,406Raw benchmark valueCI 1,397 - 1,415

Text Arena · Industry Legal And Government

AR · Professional reasoning · Human

Observed user preference in Arena's Text Arena industry_legal_and_government leaderboard.

Rank #48 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,450
Percentile: 84.2%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: industry_legal_and_government. Source rank: #62. Votes: 2104. Organization: alibaba. License: Proprietary.

84.2% percentile inside its fair comparison set

1,450Raw benchmark valueCI 1,436 - 1,463

Text Arena · Industry Life And Physical And Social Science

AR · Professional reasoning · Human

Observed user preference in Arena's Text Arena industry_life_and_physical_and_social_science leaderboard.

Rank #60 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,449
Percentile: 81.7%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: industry_life_and_physical_and_social_science. Source rank: #75. Votes: 4624. Organization: alibaba. License: Proprietary.

81.7% percentile inside its fair comparison set

1,449Raw benchmark valueCI 1,440 - 1,458

Text Arena · Industry Mathematical

AR · Professional reasoning · Human

Observed user preference in Arena's Text Arena industry_mathematical leaderboard.

Rank #38 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,455
Percentile: 88%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: industry_mathematical. Source rank: #46. Votes: 1706. Organization: alibaba. License: Proprietary.

88% percentile inside its fair comparison set

1,455Raw benchmark valueCI 1,440 - 1,470

Text Arena · Industry Medicine And Healthcare

AR · Professional reasoning · Human

Observed user preference in Arena's Text Arena industry_medicine_and_healthcare leaderboard.

Rank #50 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,461
Percentile: 83.4%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: industry_medicine_and_healthcare. Source rank: #64. Votes: 2004. Organization: alibaba. License: Proprietary.

83.4% percentile inside its fair comparison set

1,461Raw benchmark valueCI 1,446 - 1,475

Text Arena · Industry Software And It Services

AR · Professional reasoning · Human

Observed user preference in Arena's Text Arena industry_software_and_it_services leaderboard.

Rank #43 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,481
Percentile: 87.1%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: industry_software_and_it_services. Source rank: #55. Votes: 12093. Organization: alibaba. License: Proprietary.

87.1% percentile inside its fair comparison set

1,481Raw benchmark valueCI 1,474 - 1,487

Text Arena · Industry Writing And Literature And Language

AR · Professional reasoning · Human

Observed user preference in Arena's Text Arena industry_writing_and_literature_and_language leaderboard.

Rank #43 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,424
Percentile: 87%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: industry_writing_and_literature_and_language. Source rank: #56. Votes: 6570. Organization: alibaba. License: Proprietary.

87% percentile inside its fair comparison set

1,424Raw benchmark valueCI 1,416 - 1,432

Text Arena · Expert · No Style Control

AR · Professional reasoning · Human

Observed user preference in Arena's Text Arena expert leaderboard.

Rank #34 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,454
Percentile: 88%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: expert. Source rank: #42. Votes: 2674. Organization: alibaba. License: Proprietary.

88% percentile inside its fair comparison set

1,454Raw benchmark valueCI 1,443 - 1,466

Text Arena · Industry Business And Management And Financial Operations · No Style Control

AR · Professional reasoning · Human

Observed user preference in Arena's Text Arena industry_business_and_management_and_financial_operations leaderboard.

Rank #29 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,436
Percentile: 91.2%
Last updated: recent
Eligibility: benchmark_derived_model

91.2% percentile inside its fair comparison set

1,436Raw benchmark valueCI 1,428 - 1,444

Text Arena · Industry Entertainment And Sports And Media · No Style Control

AR · Professional reasoning · Human

Observed user preference in Arena's Text Arena industry_entertainment_and_sports_and_media leaderboard.

Rank #49 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,402
Percentile: 85.1%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: industry_entertainment_and_sports_and_media. Source rank: #60. Votes: 5855. Organization: alibaba. License: Proprietary.

85.1% percentile inside its fair comparison set

1,402Raw benchmark valueCI 1,393 - 1,410

Text Arena · Industry Legal And Government · No Style Control

AR · Professional reasoning · Human

Observed user preference in Arena's Text Arena industry_legal_and_government leaderboard.

Rank #46 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,441
Percentile: 84.9%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: industry_legal_and_government. Source rank: #55. Votes: 2104. Organization: alibaba. License: Proprietary.

84.9% percentile inside its fair comparison set

1,441Raw benchmark valueCI 1,427 - 1,454

Text Arena · Industry Life And Physical And Social Science · No Style Control

AR · Professional reasoning · Human

Observed user preference in Arena's Text Arena industry_life_and_physical_and_social_science leaderboard.

Rank #61 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,436
Percentile: 81.4%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: industry_life_and_physical_and_social_science. Source rank: #74. Votes: 4624. Organization: alibaba. License: Proprietary.

81.4% percentile inside its fair comparison set

1,436Raw benchmark valueCI 1,427 - 1,445

Text Arena · Industry Mathematical · No Style Control

AR · Professional reasoning · Human

Observed user preference in Arena's Text Arena industry_mathematical leaderboard.

Rank #38 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,447
Percentile: 88%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: industry_mathematical. Source rank: #45. Votes: 1706. Organization: alibaba. License: Proprietary.

88% percentile inside its fair comparison set

1,447Raw benchmark valueCI 1,432 - 1,462

Text Arena · Industry Medicine And Healthcare · No Style Control

AR · Professional reasoning · Human

Observed user preference in Arena's Text Arena industry_medicine_and_healthcare leaderboard.

Rank #58 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,445
Percentile: 80.7%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: industry_medicine_and_healthcare. Source rank: #66. Votes: 2004. Organization: alibaba. License: Proprietary.

80.7% percentile inside its fair comparison set

1,445Raw benchmark valueCI 1,431 - 1,459

Text Arena · Industry Software And It Services · No Style Control

AR · Professional reasoning · Human

Observed user preference in Arena's Text Arena industry_software_and_it_services leaderboard.

Rank #35 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,460
Percentile: 89.5%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: industry_software_and_it_services. Source rank: #44. Votes: 12093. Organization: alibaba. License: Proprietary.

89.5% percentile inside its fair comparison set

1,460Raw benchmark valueCI 1,454 - 1,467

Text Arena · Industry Writing And Literature And Language · No Style Control

AR · Professional reasoning · Human

Observed user preference in Arena's Text Arena industry_writing_and_literature_and_language leaderboard.

Rank #37 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,420
Percentile: 88.9%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: industry_writing_and_literature_and_language. Source rank: #47. Votes: 6570. Organization: alibaba. License: Proprietary.

88.9% percentile inside its fair comparison set

1,420Raw benchmark valueCI 1,412 - 1,428

SAGE

VALS-AI · Professional reasoning · Objective

Student Assessment with Generative Evaluation.

Rank #20 · Source label: alibaba/qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Vals AI
Raw value: 44.9%
Percentile: 57.8%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Vals AI BenchmarkView overall scores. Vals slug: sage; provider: Alibaba.

57.8% percentile inside its fair comparison set

44.9%Raw benchmark valueCI 38.1% - 51.6%

Data analysis

LB · Professional reasoning · Objective

Structured data manipulation and table reasoning accuracy.

Rank #31 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 69.9%
Percentile: 72.2%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Category: Data Analysis. Tasks scored: 3.

72.2% percentile inside its fair comparison set

69.9%Raw benchmark value

Overall

LB · Professional reasoning · Objective

Average objective performance across LiveBench's current public category mix.

Rank #32 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 70.9%
Percentile: 71.3%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Category averages included: 7.

71.3% percentile inside its fair comparison set

70.9%Raw benchmark value

Consecutive events

LB · Professional reasoning · Objective

Objective consecutive events score in LiveBench.

Rank #29 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 67%
Percentile: 74.1%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: consecutive_events. Category: Data Analysis.

74.1% percentile inside its fair comparison set

67%Raw benchmark value

Table join

LB · Professional reasoning · Objective

Objective table join score in LiveBench.

Rank #44 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 44.7%
Percentile: 60.2%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: tablejoin. Category: Data Analysis.

60.2% percentile inside its fair comparison set

44.7%Raw benchmark value

Table reformat

LB · Professional reasoning · Objective

Objective table reformat score in LiveBench.

Rank #71 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: LiveBench
Raw value: 98%
Percentile: 74.1%
Last updated: archived
Eligibility: benchmark_derived_model

Derived from the official LiveBench website leaderboard table. Task: tablereformat. Category: Data Analysis.

74.1% percentile inside its fair comparison set

98%Raw benchmark value

Search / tool use1 benchmark97.7%

Tau2-Bench Telecom

AA · Search / tool use · Objective

It matters when the model must browse, call tools, and recover useful answers from external systems.

Rank #9 · Source label: Qwen3.6 Plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Artificial Analysis
Raw value: 97.7%
Percentile: 97.7%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Artificial Analysis public leaderboard field `tau2`.

97.7% percentile inside its fair comparison set

97.7%Raw benchmark value

Long context2 benchmarks79.3%

Long Context Reasoning

AA · Long context · Objective

It checks whether long-context claims survive contact with retrieval, memory, or long-document tasks.

Rank #8 · Source label: Qwen3.6 Plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Artificial Analysis
Raw value: 69.7%
Percentile: 98.4%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Artificial Analysis public leaderboard field `lcr`.

98.4% percentile inside its fair comparison set

69.7%Raw benchmark value

CorpFin v2

VALS-AI · Long context · Objective

It checks whether long-context claims survive contact with retrieval, memory, or long-document tasks.

Rank #36 · Source label: alibaba/qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Vals AI
Raw value: 61.9%
Percentile: 60.2%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Vals AI BenchmarkView overall scores. Vals slug: corp_fin_v2; provider: Alibaba.

60.2% percentile inside its fair comparison set

61.9%Raw benchmark valueCI 60.1% - 63.8%

Vision understanding2 benchmarks86.2%

MMMU-Pro

AA · Vision understanding · Objective

It is useful when the model must read charts, UI, screenshots, or visual scenes rather than text alone.

Rank #8 · Source label: Qwen3.6 Plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Artificial Analysis
Raw value: 78%
Percentile: 94.8%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Artificial Analysis public leaderboard field `mmmuPro`.

94.8% percentile inside its fair comparison set

78%Raw benchmark value

MMMU Pro

VALS-AI · Vision understanding · Objective

It is useful when the model must read charts, UI, screenshots, or visual scenes rather than text alone.

Rank #14 · Source label: alibaba/qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Vals AI
Raw value: 84.2%
Percentile: 77.6%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Vals AI BenchmarkView overall scores. Vals slug: mmmu; provider: Alibaba.

77.6% percentile inside its fair comparison set

84.2%Raw benchmark valueCI 82.4% - 85.9%

Document understanding2 benchmarks52.5%

Vals Multimodal Index

VALS-AI · Document understanding · Combined

It matters when the job is reading PDFs, tables, forms, or mixed-layout documents rather than plain chat.

Rank #14 · Source label: alibaba/qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Vals AI
Raw value: 52
Percentile: 31.6%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Vals AI BenchmarkView overall scores. Vals slug: vals_multimodal_index; provider: Alibaba.

31.6% percentile inside its fair comparison set

52Raw benchmark valueCI 49 - 54

MortgageTax

VALS-AI · Document understanding · Objective

It matters when the job is reading PDFs, tables, forms, or mixed-layout documents rather than plain chat.

Rank #17 · Source label: alibaba/qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Vals AI
Raw value: 68%
Percentile: 73.3%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Vals AI BenchmarkView overall scores. Vals slug: mortgage_tax; provider: Alibaba.

73.3% percentile inside its fair comparison set

68%Raw benchmark valueCI 66.2% - 69.7%

Multilingual14 benchmarks85.2%

Text Arena · Chinese

AR · Multilingual · Human

Observed user preference in Arena's Text Arena chinese leaderboard.

Rank #40 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,488
Percentile: 86.8%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: chinese. Source rank: #50. Votes: 1425. Organization: alibaba. License: Proprietary.

86.8% percentile inside its fair comparison set

1,488Raw benchmark valueCI 1,471 - 1,505

Text Arena · French

AR · Multilingual · Human

Observed user preference in Arena's Text Arena french leaderboard.

Rank #31 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,473
Percentile: 86.1%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: french. Source rank: #42. Votes: 1099. Organization: alibaba. License: Proprietary.

86.1% percentile inside its fair comparison set

1,473Raw benchmark valueCI 1,453 - 1,493

Text Arena · German

AR · Multilingual · Human

Observed user preference in Arena's Text Arena german leaderboard.

Rank #25 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,457
Percentile: 89.9%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: german. Source rank: #32. Votes: 448. Organization: alibaba. License: Proprietary.

89.9% percentile inside its fair comparison set

1,457Raw benchmark valueCI 1,428 - 1,485

Text Arena · Japanese

AR · Multilingual · Human

Observed user preference in Arena's Text Arena japanese leaderboard.

Rank #29 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,418
Percentile: 86.2%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: japanese. Source rank: #40. Votes: 265. Organization: alibaba. License: Proprietary.

86.2% percentile inside its fair comparison set

1,418Raw benchmark valueCI 1,380 - 1,456

Text Arena · Korean

AR · Multilingual · Human

Observed user preference in Arena's Text Arena korean leaderboard.

Rank #49 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,386
Percentile: 76.9%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: korean. Source rank: #62. Votes: 469. Organization: alibaba. License: Proprietary.

76.9% percentile inside its fair comparison set

1,386Raw benchmark valueCI 1,358 - 1,414

Text Arena · Russian

AR · Multilingual · Human

Observed user preference in Arena's Text Arena russian leaderboard.

Rank #47 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,438
Percentile: 84.1%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: russian. Source rank: #61. Votes: 3070. Organization: alibaba. License: Proprietary.

84.1% percentile inside its fair comparison set

1,438Raw benchmark valueCI 1,427 - 1,449

Text Arena · Spanish

AR · Multilingual · Human

Observed user preference in Arena's Text Arena spanish leaderboard.

Rank #47 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,436
Percentile: 78.5%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: spanish. Source rank: #59. Votes: 993. Organization: alibaba. License: Proprietary.

78.5% percentile inside its fair comparison set

1,436Raw benchmark valueCI 1,416 - 1,456

Text Arena · Chinese · No Style Control

AR · Multilingual · Human

Observed user preference in Arena's Text Arena chinese leaderboard.

Rank #33 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,482
Percentile: 89.2%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: chinese. Source rank: #38. Votes: 1425. Organization: alibaba. License: Proprietary.

89.2% percentile inside its fair comparison set

1,482Raw benchmark valueCI 1,465 - 1,498

Text Arena · French · No Style Control

AR · Multilingual · Human

Observed user preference in Arena's Text Arena french leaderboard.

Rank #30 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,461
Percentile: 86.6%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: french. Source rank: #36. Votes: 1099. Organization: alibaba. License: Proprietary.

86.6% percentile inside its fair comparison set

1,461Raw benchmark valueCI 1,441 - 1,481

Text Arena · German · No Style Control

AR · Multilingual · Human

Observed user preference in Arena's Text Arena german leaderboard.

Rank #17 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,457
Percentile: 93.2%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: german. Source rank: #20. Votes: 448. Organization: alibaba. License: Proprietary.

93.2% percentile inside its fair comparison set

1,457Raw benchmark valueCI 1,429 - 1,486

Text Arena · Japanese · No Style Control

AR · Multilingual · Human

Observed user preference in Arena's Text Arena japanese leaderboard.

Rank #23 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,413
Percentile: 89.2%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: japanese. Source rank: #31. Votes: 265. Organization: alibaba. License: Proprietary.

89.2% percentile inside its fair comparison set

1,413Raw benchmark valueCI 1,375 - 1,451

Text Arena · Korean · No Style Control

AR · Multilingual · Human

Observed user preference in Arena's Text Arena korean leaderboard.

Rank #46 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,384
Percentile: 78.4%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: korean. Source rank: #56. Votes: 469. Organization: alibaba. License: Proprietary.

78.4% percentile inside its fair comparison set

1,384Raw benchmark valueCI 1,357 - 1,412

Text Arena · Russian · No Style Control

AR · Multilingual · Human

Observed user preference in Arena's Text Arena russian leaderboard.

Rank #37 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,432
Percentile: 87.5%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: russian. Source rank: #46. Votes: 3070. Organization: alibaba. License: Proprietary.

87.5% percentile inside its fair comparison set

1,432Raw benchmark valueCI 1,421 - 1,443

Text Arena · Spanish · No Style Control

AR · Multilingual · Human

Observed user preference in Arena's Text Arena spanish leaderboard.

Rank #42 · Source label: qwen3.6-plus

verified runtimeexact aliasBackground only

Raw row drilldownsource row, percentile, last updated, eligibility

Source: Arena
Raw value: 1,438
Percentile: 80.8%
Last updated: recent
Eligibility: benchmark_derived_model

Parsed from Arena leaderboard dataset row `qwen3.6-plus`. Category: spanish. Source rank: #51. Votes: 993. Organization: alibaba. License: Proprietary.

80.8% percentile inside its fair comparison set

1,438Raw benchmark valueCI 1,418 - 1,458