UAB
Home/Compare
Compare
Compare · pick a model

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 · 13
Current leader · Claude Opus 5.5 (Adaptive Reasoning, Medium Effort, Default Fallback)
Compare controls

Keep the recommendation honest.

Use case and source filter stay visible up top. Edits, saves, follows, and links stay available without running the page.

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

Keep the same models, change the use case, and recompute the recommendation without resetting the page.

Sources
Models to compare

Keep the compare set tight. Add one model at a time, then prune aggressively.

Workspace utilities

Save, follow, or copy this exact setup only after the comparison looks right.

Save or share this workspacefollow it, copy it, or reopen it later
Compare · Coding copilot · best for this use case

Claude Opus 5.5 (Adaptive Reasoning, Medium Effort, Default Fallback) leads this compare set for coding copilot.

Claude Opus 5.5 (Adaptive Reasoning, Medium Effort, Default Fallback)no clear runner-up
Verified and stable

The main warning is thinner evidence on Coding.

Shared tests
13
Close calls
0
Sources
All public
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
Long context · Chat / text
Where the evidence is thin
0 close-call benchmarks and 119 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.
13 of 132 benchmarks
Intelligence Index
AA · index
Text · Chat / text
5198%
exact aliasverified runtime
Row details
Raw value
51
Percentile
98%
Last updated
recent
Eligibility
headline eligible
Identity
provider alias (0.94)
Source label
Claude Opus 5.5 (Adaptive Reasoning, Medium Effort, Default Fallback)
Source row
n/a
Time to first token
AA · s
Text · Chat / text
22.18s19.3%
exact aliasverified runtime
Row details
Raw value
22.18s
Percentile
19.3%
Last updated
recent
Eligibility
headline eligible
Identity
provider alias (0.94)
Source label
Claude Opus 5.5 (Adaptive Reasoning, Medium Effort, Default Fallback)
Source row
n/a
Output Speed
AA · tokens/s
Text · Chat / text
71.9 tokens/s39.3%
exact aliasverified runtime
Row details
Raw value
71.9 tokens/s
Percentile
39.3%
Last updated
recent
Eligibility
headline eligible
Identity
provider alias (0.94)
Source label
Claude Opus 5.5 (Adaptive Reasoning, Medium Effort, Default Fallback)
Source row
n/a
Time to first answer token
AA · s
Text · Chat / text
22.18s44.7%
exact aliasverified runtime
Row details
Raw value
22.18s
Percentile
44.7%
Last updated
recent
Eligibility
headline eligible
Identity
provider alias (0.94)
Source label
Claude Opus 5.5 (Adaptive Reasoning, Medium Effort, Default Fallback)
Source row
n/a
Input price
AA · /1M input tokens
Text · Chat / text
$4 /1M input tokens11.6%
exact aliasverified runtime
Row details
Raw value
$4 /1M input tokens
Percentile
11.6%
Last updated
recent
Eligibility
headline eligible
Identity
provider alias (0.94)
Source label
Claude Opus 5.5 (Adaptive Reasoning, Medium Effort, Default Fallback)
Source row
n/a
Output price
AA · /1M output tokens
Text · Chat / text
$20 /1M output tokens11%
exact aliasverified runtime
Row details
Raw value
$20 /1M output tokens
Percentile
11%
Last updated
recent
Eligibility
headline eligible
Identity
provider alias (0.94)
Source label
Claude Opus 5.5 (Adaptive Reasoning, Medium Effort, Default Fallback)
Source row
n/a
Humanity's Last Exam
AA · %
Text · Reasoning / math / science
54.7%98.1%
exact aliasverified runtime
Row details
Raw value
54.7%
Percentile
98.1%
Last updated
recent
Eligibility
headline eligible
Identity
provider alias (0.94)
Source label
Claude Opus 5.5 (Adaptive Reasoning, Medium Effort, Default Fallback)
Source row
n/a
CritPt
AA · %
Text · Reasoning / math / science
27.7%95%
exact aliasverified runtime
Row details
Raw value
27.7%
Percentile
95%
Last updated
recent
Eligibility
headline eligible
Identity
provider alias (0.94)
Source label
Claude Opus 5.5 (Adaptive Reasoning, Medium Effort, Default Fallback)
Source row
n/a
SciCode
AA · %
Code · Coding
59.3%93.9%
exact aliasverified runtime
Row details
Raw value
59.3%
Percentile
93.9%
Last updated
recent
Eligibility
headline eligible
Identity
provider alias (0.94)
Source label
Claude Opus 5.5 (Adaptive Reasoning, Medium Effort, Default Fallback)
Source row
n/a
AA-Omniscience accuracy
AA · %
Text · Chat / text
64.6%98.5%
exact aliasverified runtime
Row details
Raw value
64.6%
Percentile
98.5%
Last updated
recent
Eligibility
headline eligible
Identity
provider alias (0.94)
Source label
Claude Opus 5.5 (Adaptive Reasoning, Medium Effort, Default Fallback)
Source row
n/a
AA-Omniscience non-hallucination
AA · %
Text · Chat / text
31.6%64.2%
exact aliasverified runtime
Row details
Raw value
31.6%
Percentile
64.2%
Last updated
recent
Eligibility
headline eligible
Identity
provider alias (0.94)
Source label
Claude Opus 5.5 (Adaptive Reasoning, Medium Effort, Default Fallback)
Source row
n/a
MMMU-Pro
AA · %
Vision · Vision understanding
85.7%96.6%
exact aliasverified runtime
Row details
Raw value
85.7%
Percentile
96.6%
Last updated
recent
Eligibility
headline eligible
Identity
provider alias (0.94)
Source label
Claude Opus 5.5 (Adaptive Reasoning, Medium Effort, Default Fallback)
Source row
n/a
1-12 of 13
Page 1 of 2
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

Claude Opus 5.5 (Adaptive Reasoning, Medium Effort, Default Fallback)
119 visible benchmark gaps still leave room for the result to move.
Coverage gaps

Where evidence is missing

Claude Opus 5.5 (Adaptive Reasoning, Medium Effort, Default Fallback)
Missing visible evidence on this compare surface
119
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
Claude Opus 5.5 (Adaptive Reasoning, Medium Effort, Default Fallback)
Anthropic
100%
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 compareClaude Opus 5.5 (Adaptive Reasoning, Medium Effort, Default Fallback) 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.

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.Claude Opus 5.5 (Adaptive Reasoning, Medium Effort, Default Fallback) leads this compare set for coding copilot.
ContrarianPush against the easy read and keep the strongest alternative live.Contrarian take: Claude Opus 5.5 (Adaptive Reasoning, Medium Effort, Default Fallback) leads this compare set for coding copilot.
Open-model angleBias the framing toward open weights and source transparency.Open-model angle: Model compare · Claude Opus 5.5 (Adaptive Reasoning, Medium Effort, Default Fallback)
Don't trust the headlineLead with the warning before you let the claim travel.Don't trust the headline: Model compare · Claude Opus 5.5 (Adaptive Reasoning, Medium Effort, Default Fallback)
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.

HeadlineClaude Opus 5.5 (Adaptive Reasoning, Medium Effort, Default Fallback) 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=claude-opus-5-5-medium&mode=best-for-this-use-case&preset=coding-copilot
PreviewOver 280
Claude Opus 5.5 (Adaptive Reasoning, Medium Effort, Default Fallback) 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=claude-opus-5-5-medium&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.