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Use shared tests, visible gaps, and close-call warnings before turning a benchmark lead into a public claim.
Selected models · 1
Shared benchmarks · 25
Current leader · gemini-4-argon-high
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Current frameBest for this use caseCoding copilot · All public sources
What should win?
Preset

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1 / 6 models
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gemini-4-argon-high
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Compare · Coding copilot · best for this use case

gemini-4-argon-high leads this compare set for coding copilot.

gemini-4-argon-highno clear runner-up
Verified and stable

The main warning is thinner evidence on Long context.

Shared tests
25
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
Chat / text · Multilingual
Where the evidence is thin
0 close-call benchmarks and 107 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
25 of 132 benchmarks
Text Arena
AR · rating
Text · Chat / text
1,525100%
exact aliasverified runtime
Row details
Raw value
1,525
Percentile
100%
Last updated
recent
Eligibility
headline eligible
Identity
provider alias (0.92)
Source label
gemini-4-argon-high
Source row
n/a
WebDev Arena
AR · rating
Code · Coding
1,68093.7%
exact aliasverified runtime
Row details
Raw value
1,680
Percentile
93.7%
Last updated
recent
Eligibility
headline eligible
Identity
provider alias (0.92)
Source label
gemini-4-argon-high
Source row
n/a
Intelligence Index
AA · index
Text · Chat / text
5398.7%
exact aliasverified runtime
Row details
Raw value
53
Percentile
98.7%
Last updated
recent
Eligibility
headline eligible
Identity
provider alias (0.94)
Source label
Gemini 4 Argon (High)
Source row
n/a
Input price
AA · /1M input tokens
Text · Chat / text
$2 /1M input tokens26.8%
exact aliasverified runtime
Row details
Raw value
$2 /1M input tokens
Percentile
26.8%
Last updated
recent
Eligibility
headline eligible
Identity
provider alias (0.94)
Source label
Gemini 4 Argon (High)
Source row
n/a
Output price
AA · /1M output tokens
Text · Chat / text
$10 /1M output tokens23.7%
exact aliasverified runtime
Row details
Raw value
$10 /1M output tokens
Percentile
23.7%
Last updated
recent
Eligibility
headline eligible
Identity
provider alias (0.94)
Source label
Gemini 4 Argon (High)
Source row
n/a
Humanity's Last Exam
AA · %
Text · Reasoning / math / science
57.1%99.2%
exact aliasverified runtime
Row details
Raw value
57.1%
Percentile
99.2%
Last updated
recent
Eligibility
headline eligible
Identity
provider alias (0.94)
Source label
Gemini 4 Argon (High)
Source row
n/a
CritPt
AA · %
Text · Reasoning / math / science
27.1%94.1%
exact aliasverified runtime
Row details
Raw value
27.1%
Percentile
94.1%
Last updated
recent
Eligibility
headline eligible
Identity
provider alias (0.94)
Source label
Gemini 4 Argon (High)
Source row
n/a
SciCode
AA · %
Code · Coding
61.8%98.5%
exact aliasverified runtime
Row details
Raw value
61.8%
Percentile
98.5%
Last updated
recent
Eligibility
headline eligible
Identity
provider alias (0.94)
Source label
Gemini 4 Argon (High)
Source row
n/a
AA-Omniscience accuracy
AA · %
Text · Chat / text
49.9%90.1%
exact aliasverified runtime
Row details
Raw value
49.9%
Percentile
90.1%
Last updated
recent
Eligibility
headline eligible
Identity
provider alias (0.94)
Source label
Gemini 4 Argon (High)
Source row
n/a
AA-Omniscience non-hallucination
AA · %
Text · Chat / text
84.9%99.3%
exact aliasverified runtime
Row details
Raw value
84.9%
Percentile
99.3%
Last updated
recent
Eligibility
headline eligible
Identity
provider alias (0.94)
Source label
Gemini 4 Argon (High)
Source row
n/a
Vals Index
VALS-AI · %
Text · Professional reasoning
69100%
exact aliasverified runtime
Row details
Raw value
69
Percentile
100%
Last updated
recent
Eligibility
headline eligible
Identity
provider alias (0.92)
Source label
google/gemini-4-argon
Source row
n/a
LegalBench
VALS-AI · %
Text · Professional reasoning
88.3%98.5%
exact aliasverified runtime
Row details
Raw value
88.3%
Percentile
98.5%
Last updated
recent
Eligibility
headline eligible
Identity
provider alias (0.92)
Source label
google/gemini-4-argon
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

gemini-4-argon-high
107 visible benchmark gaps still leave room for the result to move.
Coverage gaps

Where evidence is missing

gemini-4-argon-high
Missing visible evidence on this compare surface
107
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
gemini-4-argon-high
Google
100%
Share or publish this compare resultlinks, copy, and advanced framings
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Model comparegemini-4-argon-high 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=gemini-4-argon&mode=best-for-this-use-case&preset=coding-copilot
Card image/api/og?kind=compare&models=gemini-4-argon&mode=best-for-this-use-case&preset=coding-copilot
Public links

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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.gemini-4-argon-high leads this compare set for coding copilot.
ContrarianPush against the easy read and keep the strongest alternative live.Contrarian take: gemini-4-argon-high leads this compare set for coding copilot.
Open-model angleBias the framing toward open weights and source transparency.Open-model angle: Model compare · gemini-4-argon-high
Don't trust the headlineLead with the warning before you let the claim travel.Don't trust the headline: Model compare · gemini-4-argon-high
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.

Headlinegemini-4-argon-high 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=gemini-4-argon&mode=best-for-this-use-case&preset=coding-copilot
PreviewOver 280
gemini-4-argon-high 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=gemini-4-argon&mode=best-for-this-use-case&preset=coding-copilot
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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.