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Claude Opus 4.6 vs GPT-5.1

Claude Opus 4.6 leads GPT-5.1 on coding, 57.2 to 40.4 on the Vibe Coding Index, and GPT-5.1 costs 2.5x less per output token ($10.00 vs $25.00 per million). Updated October 22, 2026; 93 benchmarks have a result for both.

Replace Claude Opus 4.6 Replace GPT-5.1
Claude Opus 4.6Anthropic
Coding
57.2
Overall
66.0
Output $/M
$25.00
80
GPT-5.1OpenAI
Coding
40.4
Overall
55.0
Output $/M
$10.00
13
vs boards won of 93 shared

Claude Opus 4.6 or GPT-5.1: which to pick

Pick Claude Opus 4.6 for coding: it scores 57.2 on the Vibe Coding Index against 40.4 for GPT-5.1.

Pick GPT-5.1 for output tokens 2.5x cheaper ($10.00 vs $25.00 per million) and a lower cost per solved task ($1.02 against $1.56).

Model AClaude Opus 4.6Anthropic57.2/1004 independent benchmarks$1.56 per solved taskModel BGPT-5.1OpenAI40.4/1003 independent benchmarks$1.02 per solved task
Shared results
93
Claude Opus 4.6 only
17
GPT-5.1 only
8
Like-for-like categories
8 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Claude Opus 4.6 57.2 from 4 benchmarks, GPT-5.1 40.4 from 3 benchmarks.
Widest category
Agentic work, 21.2 points apart on average over 3 shared benchmarks.
Widest single gap
ARC-AGI-2: Claude Opus 4.6 69.2% against GPT-5.1 17.6%, 51.5 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.6 $25.00 against GPT-5.1 $10.00 per million output tokens, 2.5x apart.
Context window
Claude Opus 4.6 takes 1M tokens, GPT-5.1 400K.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryClaude Opus 4.6BarsGPT-5.1Ties
Coding131
Intelligence20
Agentic work30
Reasoning141
Math40
Knowledge86
Web design80
General285
All shared boards8013
CodingLike-for-likeSix of these boards feed the Vibe Coding Index131
Coding benchmarks for Claude Opus 4.6 and GPT-5.1
BenchmarkClaude Opus 4.6GPT-5.1Leader
SWE-bench Verified75.6%66.0%Claude Opus 4.6
SWE-bench Multilingual72.0%Not measuredOnly Claude Opus 4.6 measured
LMArena WebDev15471396Claude Opus 4.6
AA Coding IndexNot measured49.4Only GPT-5.1 measured
LiveCodeBench (Vals AI)84.7%86.5%GPT-5.1
SWE-bench Verified (Vals AI)78.2%69.8%Claude Opus 4.6
Vibe Code Bench (Vals AI)57.6%24.6%Claude Opus 4.6
LiveCodeBench (Artificial Analysis run)Not measured86.8%Only GPT-5.1 measured
Terminal-Bench Hard (Artificial Analysis run)48.5%45.5%Claude Opus 4.6
Terminal-Bench79.8%47.6%Claude Opus 4.6
FrontierCode26.6%Not measuredOnly Claude Opus 4.6 measured
GSO-Bench41.2%13.7%Claude Opus 4.6
WeirdML78.0%60.8%Claude Opus 4.6
Cybench93.0%Not measuredOnly Claude Opus 4.6 measured
LMArena Text: coding15341453Claude Opus 4.6
LMArena Text: software and IT15271454Claude Opus 4.6
LMArena WebDev: React15391307Claude Opus 4.6
LMArena WebDev: HTML15591405Claude Opus 4.6
LMArena WebDev: from an image15431421Claude Opus 4.6
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 4.6 and GPT-5.1
BenchmarkClaude Opus 4.6GPT-5.1Leader
AA Intelligence Index31.924.7Claude Opus 4.6
Epoch Capabilities Index155.7149.8Claude Opus 4.6
Agentic workLike-for-likePublic boards, shown as published, kept out of the index30
Agentic work benchmarks for Claude Opus 4.6 and GPT-5.1
BenchmarkClaude Opus 4.6GPT-5.1Leader
Design Arena: agents building web apps1206Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building full-stack apps1220Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building mobile apps1207Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building Android apps1197Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building games1212Not measuredOnly Claude Opus 4.6 measured
τ²-Bench Telecom92.1%81.9%Claude Opus 4.6
APEX-Agents46.3%Not measuredOnly Claude Opus 4.6 measured
METR time horizons78.9%Not measuredOnly Claude Opus 4.6 measured
Remote Labor Index4.2%Not measuredOnly Claude Opus 4.6 measured
DeepResearch Bench55.3%42.8%Claude Opus 4.6
Vending-Bench 2$8,018$1,473Claude Opus 4.6
Neither model has a result on the other 30 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index141
Reasoning benchmarks for Claude Opus 4.6 and GPT-5.1
BenchmarkClaude Opus 4.6GPT-5.1Leader
GPQA Diamond89.7%86.6%Claude Opus 4.6
MMMU Pro (Vals AI)83.9%83.2%Claude Opus 4.6
GPQA Diamond (Artificial Analysis run)89.6%87.3%Claude Opus 4.6
Humanity's Last Exam (Artificial Analysis run)39.9%28.5%Claude Opus 4.6
GPQA Diamond (Epoch AI run)90.5%87.6%Claude Opus 4.6
ARC-AGI94.0%72.8%Claude Opus 4.6
ARC-AGI-269.2%17.6%Claude Opus 4.6
SimpleBench67.6%53.2%Claude Opus 4.6
Chess puzzles21.0%42.0%GPT-5.1
Mystery game puzzles25.0%19.0%Claude Opus 4.6
EBR-bench12.7%Not measuredOnly Claude Opus 4.6 measured
VPCTNot measured58.7%Only GPT-5.1 measured
LMArena Text: hard prompts15251457Claude Opus 4.6
LMArena Text: expert15441470Claude Opus 4.6
LMArena Text: hard prompts in English15301462Claude Opus 4.6
LMArena Vision: diagrams13401264Claude Opus 4.6
LMArena Vision: homework13371272Claude Opus 4.6
Kagi LLM Benchmark83.6%Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for Claude Opus 4.6 and GPT-5.1
BenchmarkClaude Opus 4.6GPT-5.1Leader
AIME95.6%93.3%Claude Opus 4.6
MGSM (Vals AI)Not measured93.0%Only GPT-5.1 measured
AA Math IndexNot measured94.0Only GPT-5.1 measured
AIME 2025 (Artificial Analysis run)Not measured94.0%Only GPT-5.1 measured
OTIS Mock AIME94.4%88.6%Claude Opus 4.6
FrontierMath, tiers 1 to 366.0%Not measuredOnly Claude Opus 4.6 measured
FrontierMath, tier 426.8%Not measuredOnly Claude Opus 4.6 measured
ProofBench50.0%Not measuredOnly Claude Opus 4.6 measured
LMArena Text: math15181446Claude Opus 4.6
LMArena Text: mathematical work15251449Claude Opus 4.6
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index86
Knowledge benchmarks for Claude Opus 4.6 and GPT-5.1
BenchmarkClaude Opus 4.6GPT-5.1Leader
MMLU Pro89.1%86.4%Claude Opus 4.6
LegalBench (Vals AI)85.3%85.7%GPT-5.1
CaseLaw (Vals AI)62.1%73.4%GPT-5.1
CorpFin (Vals AI)67.0%63.8%Claude Opus 4.6
TaxEval (Vals AI)76.0%74.9%Claude Opus 4.6
MortgageTax (Vals AI)68.5%61.4%Claude Opus 4.6
MedQA (Vals AI)95.4%96.4%GPT-5.1
MedCode (Vals AI)49.1%52.7%GPT-5.1
MMLU Pro (Artificial Analysis run)Not measured87.0%Only GPT-5.1 measured
SimpleQA Verified47.0%48.0%GPT-5.1
LMArena Text: science15191459Claude Opus 4.6
LMArena Text: medicine and healthcare15041456Claude Opus 4.6
LMArena Text: legal and government15121459Claude Opus 4.6
LMArena Text: business and finance14971431Claude Opus 4.6
FACTS Benchmark Suite41.5%45.0%GPT-5.1
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for Claude Opus 4.6 and GPT-5.1
BenchmarkClaude Opus 4.6GPT-5.1Leader
Design Arena: websites12911187Claude Opus 4.6
Design Arena: UI components12811163Claude Opus 4.6
Design Arena: game dev12771178Claude Opus 4.6
Design Arena: data viz12791204Claude Opus 4.6
Design Arena: 3D12731060Claude Opus 4.6
Design Arena: all code categories12881170Claude Opus 4.6
Design Arena: SVG12271149Claude Opus 4.6
Design Arena: ASCII art12551119Claude Opus 4.6
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index285
General benchmarks for Claude Opus 4.6 and GPT-5.1
BenchmarkClaude Opus 4.6GPT-5.1Leader
SAGE (Vals AI)51.6%43.2%Claude Opus 4.6
MedScribe (Vals AI)86.7%88.1%GPT-5.1
IFBench53.1%72.9%GPT-5.1
Long context reasoning (AA-LCR)78.0%80.0%GPT-5.1
DTBench91.2%90.1%Claude Opus 4.6
LMCA55.8%43.9%Claude Opus 4.6
CL-bench20.7%23.7%GPT-5.1
Furniture assembly28.3%Not measuredOnly Claude Opus 4.6 measured
CL-bench Life17.0%17.3%GPT-5.1
LMArena Text15011443Claude Opus 4.6
LMArena Text: instruction following15211443Claude Opus 4.6
LMArena Text: creative writing15051427Claude Opus 4.6
LMArena Vision13161250Claude Opus 4.6
LMArena Text: English15111451Claude Opus 4.6
LMArena Text: non-English14881431Claude Opus 4.6
LMArena Text: Chinese15511495Claude Opus 4.6
LMArena Text: German15001438Claude Opus 4.6
LMArena Text: Japanese14881453Claude Opus 4.6
LMArena Text: Korean14641401Claude Opus 4.6
LMArena Text: French15121450Claude Opus 4.6
LMArena Text: Spanish15101433Claude Opus 4.6
LMArena Text: Russian14971435Claude Opus 4.6
LMArena Text: Polish14991440Claude Opus 4.6
LMArena Text: multi-turn15111450Claude Opus 4.6
LMArena Text: longer queries15181448Claude Opus 4.6
LMArena Text: writing and language15021428Claude Opus 4.6
LMArena Text: entertainment and media14921415Claude Opus 4.6
LMArena Vision: English13241252Claude Opus 4.6
LMArena Vision: Chinese13701270Claude Opus 4.6
LMArena Vision: reading text13261255Claude Opus 4.6
LMArena Vision: humor13141263Claude Opus 4.6
LMArena Vision: captioningNot measured1252Only GPT-5.1 measured
LMArena Vision: recognizing things12741232Claude Opus 4.6
LMArena Vision: creative writing13311266Claude Opus 4.6
LMArena Document15071403Claude Opus 4.6
Neither model has a result on the other 11 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.6 and GPT-5.1
BenchmarkClaude Opus 4.6GPT-5.1Leader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Claude Opus 4.6$0.018Fits in one request
GPT-5.1$0.0063Fits in one request

GPT-5.1 costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.6$0.325Fits in one request
GPT-5.1$0.092Fits in one request

GPT-5.1 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.6$1.25Fits in one request
GPT-5.1$0.350Fits in one request

GPT-5.1 costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Claude Opus 4.6 and GPT-5.1
SpecificationAnthropic Claude Opus 4.6OpenAI GPT-5.1
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedFebruary 4, 2026November 13, 2025
Context window1M400K
Input $/Mtok$5.00$1.25
Output $/Mtok$25.00$10.00
Coding index57.240.4
Independent measurements behind it43
Cost per solved task$1.56$1.02
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.6 better than GPT-5.1 for coding?

Pick Claude Opus 4.6 for coding: it scores 57.2 on the Vibe Coding Index against 40.4 for GPT-5.1. Pick GPT-5.1 for output tokens 2.5x cheaper ($10.00 vs $25.00 per million) and a lower cost per solved task ($1.02 against $1.56).

Which is cheaper, Claude Opus 4.6 or GPT-5.1?

Claude Opus 4.6 costs $5.00 per million input tokens and $25.00 per million output tokens; GPT-5.1 costs $1.25 and $10.00. Per solved SWE-bench Verified task, Claude Opus 4.6 costs $1.56 and GPT-5.1 $1.02.

Which has the bigger context window, Claude Opus 4.6 or GPT-5.1?

Claude Opus 4.6, with 1M tokens against 400K.

How many benchmarks is the Claude Opus 4.6 vs GPT-5.1 comparison based on?

93 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.6's coding index rests on 4 independent benchmarks and GPT-5.1's on 3. Where only one model has a result, the page says so instead of naming a winner.

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