Model vs model

Qwen3.5 27B vs Agnes 2.5 Pro Alpha

A debate-ready pair page: current winner, strongest alternative, decisive benchmarks, and the warning that should travel with the claim.

Use case · Everyday chatbot
Winner · Qwen3.5 27B
Sources · All public sources

Winner

Qwen3.5 27B

Qwen

14benchmarks won

Multilingual
Reasoning / math / science

Versus · Everyday chatbot

Qwen3.5 27B leads this compare set for everyday chatbot.

Qwen3.5 27B14 of 14 wins

Verified and stable

0 shared benchmarks are still too close to call, so the win stays conditional. This compare uses all public sources, with provider-official evidence labeled separately.

Close calls: 0
Sources: All public

Full compare workspace Disagreement page

100%win share

Model vs model

Qwen3.5 27B vs Agnes 2.5 Pro Alpha

A debate-ready pair page: current winner, strongest alternative, decisive benchmarks, and the warning that should travel with the claim.

Use case · Everyday chatbot
Winner · Qwen3.5 27B
Sources · All public sources

Winner

Qwen3.5 27B

Qwen

14benchmarks won

Multilingual
Reasoning / math / science

Versus · Everyday chatbot

Qwen3.5 27B leads this compare set for everyday chatbot.

Qwen3.5 27B14 of 14 wins

Verified and stable

0 shared benchmarks are still too close to call, so the win stays conditional. This compare uses all public sources, with provider-official evidence labeled separately.

Close calls: 0
Sources: All public

Full compare workspace Disagreement page

100%win share


Intelligence Index AA · index Text · Chat / text	3079.9% exact aliasverified runtime Row details Raw value 30 Percentile 79.9% Last updated recent Eligibility headline eligible Identity provider alias (0.94) Source label Qwen3.5 27B (Non-reasoning) Source row	40n/a exact aliasverified runtimeContext only Row details Raw value 40 Percentile n/a Last updated recent Eligibility preview_model Identity provider alias (0.94) Source label Agnes 2.5 Pro Alpha Source row	n/a
Time to first token AA · s Text · Chat / text	5.60s22.8% exact aliasverified runtime Row details Raw value 5.60s Percentile 22.8% Last updated recent Eligibility headline eligible Identity provider alias (0.94) Source label Qwen3.5 27B (Non-reasoning) Source row	2.09sn/a exact aliasverified runtimeContext only Row details Raw value 2.09s Percentile n/a Last updated recent Eligibility preview_model Identity provider alias (0.94) Source label Agnes 2.5 Pro Alpha Source row	n/a
Output Speed AA · tokens/s Text · Chat / text	77.4 tokens/s43.3% exact aliasverified runtime Row details Raw value 77.4 tokens/s Percentile 43.3% Last updated recent Eligibility headline eligible Identity provider alias (0.94) Source label Qwen3.5 27B (Reasoning) Source row	132 tokens/sn/a exact aliasverified runtimeContext only Row details Raw value 132 tokens/s Percentile n/a Last updated recent Eligibility preview_model Identity provider alias (0.94) Source label Agnes 2.5 Pro Alpha Source row	n/a
Time to first answer token AA · s Text · Chat / text	31.42s25.9% exact aliasverified runtime Row details Raw value 31.42s Percentile 25.9% Last updated recent Eligibility headline eligible Identity provider alias (0.94) Source label Qwen3.5 27B (Reasoning) Source row	17.24sn/a exact aliasverified runtimeContext only Row details Raw value 17.24s Percentile n/a Last updated recent Eligibility preview_model Identity provider alias (0.94) Source label Agnes 2.5 Pro Alpha Source row	n/a
Blended price AA · /1M tokens Text · Chat / text	$0.8 /1M tokens48.5% exact aliasverified runtime Row details Raw value $0.8 /1M tokens Percentile 48.5% Last updated recent Eligibility headline eligible Identity provider alias (0.94) Source label Qwen3.5 27B (Non-reasoning) Source row	$0.6 /1M tokensn/a exact aliasverified runtimeContext only Row details Raw value $0.6 /1M tokens Percentile n/a Last updated recent Eligibility preview_model Identity provider alias (0.94) Source label Agnes 2.5 Pro Alpha Source row	n/a
Input price AA · /1M input tokens Text · Chat / text	$0.3 /1M input tokens60.1% exact aliasverified runtime Row details Raw value $0.3 /1M input tokens Percentile 60.1% Last updated recent Eligibility headline eligible Identity provider alias (0.94) Source label Qwen3.5 27B (Non-reasoning) Source row	$0.5 /1M input tokensn/a exact aliasverified runtimeContext only Row details Raw value $0.5 /1M input tokens Percentile n/a Last updated recent Eligibility preview_model Identity provider alias (0.94) Source label Agnes 2.5 Pro Alpha Source row	n/a
Output price AA · /1M output tokens Text · Chat / text	$2.4 /1M output tokens45.2% exact aliasverified runtime Row details Raw value $2.4 /1M output tokens Percentile 45.2% Last updated recent Eligibility headline eligible Identity provider alias (0.94) Source label Qwen3.5 27B (Non-reasoning) Source row	$0.9 /1M output tokensn/a exact aliasverified runtimeContext only Row details Raw value $0.9 /1M output tokens Percentile n/a Last updated recent Eligibility preview_model Identity provider alias (0.94) Source label Agnes 2.5 Pro Alpha Source row	n/a
GPQA AA · % Text · Reasoning / math / science	84.2%86.5% exact aliasverified runtime Row details Raw value 84.2% Percentile 86.5% Last updated recent Eligibility headline eligible Identity provider alias (0.94) Source label Qwen3.5 27B (Non-reasoning) Source row	87.6%n/a exact aliasverified runtimeContext only Row details Raw value 87.6% Percentile n/a Last updated recent Eligibility preview_model Identity provider alias (0.94) Source label Agnes 2.5 Pro Alpha Source row	n/a
Humanity's Last Exam AA · % Text · Reasoning / math / science	13.9%76.7% exact aliasverified runtime Row details Raw value 13.9% Percentile 76.7% Last updated recent Eligibility headline eligible Identity provider alias (0.94) Source label Qwen3.5 27B (Non-reasoning) Source row	33.6%n/a exact aliasverified runtimeContext only Row details Raw value 33.6% Percentile n/a Last updated recent Eligibility preview_model Identity provider alias (0.94) Source label Agnes 2.5 Pro Alpha Source row	n/a
CritPt AA · % Text · Reasoning / math / science	0.3%70% exact aliasverified runtime Row details Raw value 0.3% Percentile 70% Last updated recent Eligibility headline eligible Identity provider alias (0.94) Source label Qwen3.5 27B (Non-reasoning) Source row	10.9%n/a exact aliasverified runtimeContext only Row details Raw value 10.9% Percentile n/a Last updated recent Eligibility preview_model Identity provider alias (0.94) Source label Agnes 2.5 Pro Alpha Source row	n/a
SciCode AA · % Code · Coding	36.7%67.6% exact aliasverified runtime Row details Raw value 36.7% Percentile 67.6% Last updated recent Eligibility headline eligible Identity provider alias (0.94) Source label Qwen3.5 27B (Non-reasoning) Source row	42.2%n/a exact aliasverified runtimeContext only Row details Raw value 42.2% Percentile n/a Last updated recent Eligibility preview_model Identity provider alias (0.94) Source label Agnes 2.5 Pro Alpha Source row	n/a
AA-Omniscience accuracy AA · % Text · Chat / text	15.7%36.1% exact aliasverified runtime Row details Raw value 15.7% Percentile 36.1% Last updated recent Eligibility headline eligible Identity provider alias (0.94) Source label Qwen3.5 27B (Non-reasoning) Source row	33.5%n/a exact aliasverified runtimeContext only Row details Raw value 33.5% Percentile n/a Last updated recent Eligibility preview_model Identity provider alias (0.94) Source label Agnes 2.5 Pro Alpha Source row	n/a

Intelligence Index

AA · index

Text · Chat / text

3079.9%

exact aliasverified runtime

Row details

Raw value: 30
Percentile: 79.9%
Last updated: recent
Eligibility: headline eligible
Identity: provider alias (0.94)
Source label: Qwen3.5 27B (Non-reasoning)

Qwen3.5 27B vs Agnes 2.5 Pro Alpha

Qwen3.5 27B

Qwen3.5 27B leads this compare set for everyday chatbot.

Loading model comparison.

Qwen3.5 27B vs Agnes 2.5 Pro Alpha

Qwen3.5 27B

Qwen3.5 27B leads this compare set for everyday chatbot.

Agnes 2.5 Pro Alpha

Qwen3.5 27B case

Agnes 2.5 Pro Alpha case

What changes the outcome

Why this result is surprising

Why this is not a clean win

Share the recommendation with the source data attached.

Open or copy the stable surfaces

Use the exact public framing

Pick the voice before you post

Compose a post that keeps the warning attached

Decisive benchmarks