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Compare the models people actually argue about.

Use shared tests, visible gaps, and close-call warnings before turning a benchmark lead into a public claim.
Selected models · 1
Shared benchmarks · 15
Current leader · Qwen3.5 Flash
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Keep the recommendation honest.

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Current frameBest for this use caseCoding copilot · All public sources
What should win?
Preset

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Models to compare

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1 / 6 models
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Qwen3.5 Flash
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Compare · Coding copilot · best for this use case

Qwen3.5 Flash leads this compare set for coding copilot.

Qwen3.5 Flashno clear runner-up
Thin verified coverage

The current preset is supported by visible benchmark evidence.

Shared tests
15
Close calls
0
Sources
All public
Open evidence pageInspect disagreement
Decision detail

Read this page as a workspace for choosing between top models, not as a universal crown. The current frame is Coding copilot under best for this use case.

Why the leader is ahead
Professional reasoning · Multilingual
Where the evidence is thin
0 close-call benchmarks and 99 missing missing leader rows keep this from reading as settled.
What to do next
Inspect decisive benchmarks first, then open the disagreement page or head-to-head pages if the top line still feels too narrow.
Open evidence pageInspect benchmark disagreement
15 of 114 benchmarks
Text Arena
AR · rating
Text · Chat / text
1,397n/a
exact aliasverified runtimeContext only
Row details
Raw value
1,397
Percentile
n/a
Last updated
recent
Eligibility
preview_model
Identity
provider alias (0.92)
Source label
qwen3.5-flash
Source row
n/a
Code Arena
AR · rating
Code · Coding
1,238n/a
exact aliasverified runtimeContext only
Row details
Raw value
1,238
Percentile
n/a
Last updated
recent
Eligibility
preview_model
Identity
provider alias (0.92)
Source label
qwen3.5-flash
Source row
n/a
WebDev Arena
AR · rating
Code · Coding
1,238n/a
exact aliasverified runtimeContext only
Row details
Raw value
1,238
Percentile
n/a
Last updated
recent
Eligibility
preview_model
Identity
provider alias (0.92)
Source label
qwen3.5-flash
Source row
n/a
LegalBench
VALS-AI · %
Text · Professional reasoning
84.3%n/a
exact aliasverified runtimeContext only
Row details
Raw value
84.3%
Percentile
n/a
Last updated
recent
Eligibility
preview_model
Identity
provider alias (0.92)
Source label
alibaba/qwen3.5-flash
Source row
n/a
CorpFin v2
VALS-AI · %
Document · Long context
63.6%n/a
exact aliasverified runtimeContext only
Row details
Raw value
63.6%
Percentile
n/a
Last updated
recent
Eligibility
preview_model
Identity
provider alias (0.92)
Source label
alibaba/qwen3.5-flash
Source row
n/a
MortgageTax
VALS-AI · %
Vision · Document understanding
67.4%n/a
exact aliasverified runtimeContext only
Row details
Raw value
67.4%
Percentile
n/a
Last updated
recent
Eligibility
preview_model
Identity
provider alias (0.92)
Source label
alibaba/qwen3.5-flash
Source row
n/a
TaxEval v2
VALS-AI · %
Text · Professional reasoning
72.2%n/a
exact aliasverified runtimeContext only
Row details
Raw value
72.2%
Percentile
n/a
Last updated
recent
Eligibility
preview_model
Identity
provider alias (0.92)
Source label
alibaba/qwen3.5-flash
Source row
n/a
MedCode
VALS-AI · %
Text · Professional reasoning
33%n/a
exact aliasverified runtimeContext only
Row details
Raw value
33%
Percentile
n/a
Last updated
recent
Eligibility
preview_model
Identity
provider alias (0.92)
Source label
alibaba/qwen3.5-flash
Source row
n/a
MedScribe
VALS-AI · %
Text · Professional reasoning
70.6%n/a
exact aliasverified runtimeContext only
Row details
Raw value
70.6%
Percentile
n/a
Last updated
recent
Eligibility
preview_model
Identity
provider alias (0.92)
Source label
alibaba/qwen3.5-flash
Source row
n/a
GPQA Diamond
VALS-AI · %
Text · Reasoning / math / science
82.8%n/a
exact aliasverified runtimeContext only
Row details
Raw value
82.8%
Percentile
n/a
Last updated
recent
Eligibility
preview_model
Identity
provider alias (0.92)
Source label
alibaba/qwen3.5-flash
Source row
n/a
MMLU Pro
VALS-AI · %
Text · Reasoning / math / science
84.1%n/a
exact aliasverified runtimeContext only
Row details
Raw value
84.1%
Percentile
n/a
Last updated
recent
Eligibility
preview_model
Identity
provider alias (0.92)
Source label
alibaba/qwen3.5-flash
Source row
n/a
MMMU Pro
VALS-AI · %
Vision · Vision understanding
81.9%n/a
exact aliasverified runtimeContext only
Row details
Raw value
81.9%
Percentile
n/a
Last updated
recent
Eligibility
preview_model
Identity
provider alias (0.92)
Source label
alibaba/qwen3.5-flash
Source row
n/a
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Decisive benchmarks

What is doing the visible work

No decisive benchmark
The shared tests are too split or too sparse for a clean separator.
Decision pressure

What changes the winner

Qwen3.5 Flash
99 visible benchmark gaps still leave room for the result to move.
Coverage gaps

Where evidence is missing

Qwen3.5 Flash
Missing visible evidence on this compare surface
99
Preset interpretation

How this weighting reads the field

The current decision mode is grounded in the Coding copilot preset. This keeps the compare page connected to a visible use case instead of an unspoken “overall winner” claim.

score = 1.45 × coding + 1.05 × reasoning math science + 0.80 × long contextcoverage floor = 55% · recency window = 120 days
Share or publish this compare resultlinks, copy, and advanced framings
Share this report

Share the recommendation with the source data attached.

Use the report for the full source trail, or the card image when the post needs a clean preview.

Model compareQwen3.5 Flash leads this compare set for coding copilot.

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.

Report/artifacts/compare?models=qwen3-5-flash&mode=best-for-this-use-case&preset=coding-copilot
Card image/api/og?kind=compare&models=qwen3-5-flash&mode=best-for-this-use-case&preset=coding-copilot
Public links

Open or copy the stable surfaces

The report is the canonical source page. The card image is the compact preview for embeds, screenshots, and social cards.

Open reportOpen card preview
Copy-ready text

Use the exact public framing

Each copy action keeps the recommendation attached to source data instead of forcing you into a blank composer.

Advanced framings and X composerNeutral, contrarian, open-model, and skeptical variants
Model compare

Pick the voice before you post

Use the framing variants only when you need them. The report and the public copy actions above should handle most cases.

Neutral analystLead with the recommendation, then attach the reason and warning.Qwen3.5 Flash leads this compare set for coding copilot.
ContrarianPush against the easy read and keep the strongest alternative live.Contrarian take: Qwen3.5 Flash leads this compare set for coding copilot.
Open-model angleBias the framing toward open weights and source transparency.Open-model angle: Model compare · Qwen3.5 Flash
Don't trust the headlineLead with the warning before you let the claim travel.Don't trust the headline: Model compare · Qwen3.5 Flash
X composer

Compose a post that keeps the warning attached

The post shell always exposes the recommendation, why, warning, source link, and an optional discussion question.

HeadlineQwen3.5 Flash leads this compare set for coding copilot.
WhyThe visible source data changed enough to change the recommendation.
Warning0 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.
Source link/artifacts/compare?models=qwen3-5-flash&mode=best-for-this-use-case&preset=coding-copilot
PreviewOver 280
Qwen3.5 Flash leads this compare set for coding copilot.
The visible source data changed enough to change the recommendation.
Warning: 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.
Source data: /artifacts/compare?models=qwen3-5-flash&mode=best-for-this-use-case&preset=coding-copilot
Open in XOpen card preview
Reading guide

How to read this workspace

Who wins most oftenBenchmarks with one clear percentile leader.Missing evidenceBenchmarks where a top model has no visible score.Decision readA public claim tied to an explicit use case and source filter.