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Claude Opus 4.1 vs GPT-5.1

GPT-5.1 leads Claude Opus 4.1 on the Artificial Analysis Intelligence Index, 24.7 to 22.8, and GPT-5.1 costs 7.5x less per output token ($10.00 vs $75.00 per million). Updated October 22, 2026; 64 benchmarks have a result for both.

Replace Claude Opus 4.1 Replace GPT-5.1
Claude Opus 4.1Anthropic
Coding
No data
Overall
50.2
Output $/M
$75.00
12
GPT-5.1OpenAI
Coding
40.4
Overall
55.0
Output $/M
$10.00
51
vs boards won of 64 shared, 1 tied

Claude Opus 4.1 or GPT-5.1: which to pick

Only GPT-5.1 has a coding score, 40.4 on the Vibe Coding Index; Claude Opus 4.1 has none, so the two cannot be ranked on coding.

Pick Claude Opus 4.1 for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Model AClaude Opus 4.1AnthropicNot benchmarked1 independent benchmarkNo cost per solved taskModel BGPT-5.1OpenAI40.4/1003 independent benchmarks$1.02 per solved task
Shared results
64
Claude Opus 4.1 only
9
GPT-5.1 only
37
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 4.1 not benchmarked, GPT-5.1 40.4 from 3 benchmarks.
Widest category
Math, 8.3 points apart on average over 5 shared benchmarks.
Widest single gap
VPCT: Claude Opus 4.1 35.0% against GPT-5.1 58.7%, 23.7 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.1 $75.00 against GPT-5.1 $10.00 per million output tokens, 7.5x apart.
Context window
Claude Opus 4.1 takes 200K 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 4.1BarsGPT-5.1Ties
Coding25
Intelligence02
Agentic work10
Reasoning27
Math14
Knowledge110
Web design341 tie
General219
All shared boards12511 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index25
Coding benchmarks for Claude Opus 4.1 and GPT-5.1
BenchmarkClaude Opus 4.1GPT-5.1Leader
SWE-bench VerifiedNot measured66.0%Only GPT-5.1 measured
LMArena WebDev13901396GPT-5.1
AA Coding IndexNot measured49.4Only GPT-5.1 measured
LiveCodeBench (Vals AI)66.5%86.5%GPT-5.1
SWE-bench Verified (Vals AI)Not measured69.8%Only GPT-5.1 measured
Vibe Code Bench (Vals AI)Not measured24.6%Only GPT-5.1 measured
LiveCodeBench (Artificial Analysis run)Not measured86.8%Only GPT-5.1 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured45.5%Only GPT-5.1 measured
Terminal-Bench38.0%47.6%GPT-5.1
GSO-BenchNot measured13.7%Only GPT-5.1 measured
WeirdML45.9%60.8%GPT-5.1
Cybench42.0%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: coding14791453Claude Opus 4.1
LMArena Text: software and IT14561454Claude Opus 4.1
LMArena WebDev: ReactNot measured1307Only GPT-5.1 measured
LMArena WebDev: HTML13991405GPT-5.1
LMArena WebDev: from an imageNot measured1421Only GPT-5.1 measured
SciCode4.6%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Claude Opus 4.1 and GPT-5.1
BenchmarkClaude Opus 4.1GPT-5.1Leader
AA Intelligence Index22.824.7GPT-5.1
Epoch Capabilities Index144.1149.8GPT-5.1
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Claude Opus 4.1 and GPT-5.1
BenchmarkClaude Opus 4.1GPT-5.1Leader
τ²-Bench TelecomNot measured81.9%Only GPT-5.1 measured
METR time horizons66.8%Not measuredOnly Claude Opus 4.1 measured
GDPval43.6%Not measuredOnly Claude Opus 4.1 measured
DeepResearch Bench48.3%42.8%Claude Opus 4.1
Vending-Bench 2Not measured$1,473Only GPT-5.1 measured
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index27
Reasoning benchmarks for Claude Opus 4.1 and GPT-5.1
BenchmarkClaude Opus 4.1GPT-5.1Leader
GPQA Diamond76.3%86.6%GPT-5.1
MMMU Pro (Vals AI)77.5%83.2%GPT-5.1
GPQA Diamond (Artificial Analysis run)Not measured87.3%Only GPT-5.1 measured
Humanity's Last Exam (Artificial Analysis run)Not measured28.5%Only GPT-5.1 measured
GPQA Diamond (Epoch AI run)77.3%87.6%GPT-5.1
ARC-AGINot measured72.8%Only GPT-5.1 measured
ARC-AGI-2Not measured17.6%Only GPT-5.1 measured
SimpleBench60.0%53.2%Claude Opus 4.1
Chess puzzlesNot measured42.0%Only GPT-5.1 measured
Mystery game puzzles21.0%19.0%Claude Opus 4.1
EBR-bench7.9%Not measuredOnly Claude Opus 4.1 measured
VPCT35.0%58.7%GPT-5.1
LMArena Text: hard prompts14421457GPT-5.1
LMArena Text: expert14381470GPT-5.1
LMArena Text: hard prompts in English14511462GPT-5.1
LMArena Vision: diagramsNot measured1264Only GPT-5.1 measured
LMArena Vision: homeworkNot measured1272Only GPT-5.1 measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index14
Math benchmarks for Claude Opus 4.1 and GPT-5.1
BenchmarkClaude Opus 4.1GPT-5.1Leader
AIME78.2%93.3%GPT-5.1
MATH 500 (Vals AI)95.4%Not measuredOnly Claude Opus 4.1 measured
MGSM (Vals AI)94.4%93.0%Claude Opus 4.1
AA Math IndexNot measured94.0Only GPT-5.1 measured
AIME 2025 (Artificial Analysis run)Not measured94.0%Only GPT-5.1 measured
OTIS Mock AIME68.9%88.6%GPT-5.1
FrontierMath, tiers 1 to 312.6%Not measuredOnly Claude Opus 4.1 measured
FrontierMath, tier 42.4%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: math14311446GPT-5.1
LMArena Text: mathematical work14341449GPT-5.1
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index110
Knowledge benchmarks for Claude Opus 4.1 and GPT-5.1
BenchmarkClaude Opus 4.1GPT-5.1Leader
MMLU Pro87.9%86.4%Claude Opus 4.1
LegalBench (Vals AI)83.5%85.7%GPT-5.1
CaseLaw (Vals AI)Not measured73.4%Only GPT-5.1 measured
CorpFin (Vals AI)Not measured63.8%Only GPT-5.1 measured
TaxEval (Vals AI)73.7%74.9%GPT-5.1
MortgageTax (Vals AI)61.1%61.4%GPT-5.1
MedQA (Vals AI)93.6%96.4%GPT-5.1
MedCode (Vals AI)47.2%52.7%GPT-5.1
MMLU Pro (Artificial Analysis run)Not measured87.0%Only GPT-5.1 measured
SimpleQA VerifiedNot measured48.0%Only GPT-5.1 measured
LMArena Text: science14221459GPT-5.1
LMArena Text: medicine and healthcare14161456GPT-5.1
LMArena Text: legal and government14211459GPT-5.1
LMArena Text: business and finance14061431GPT-5.1
FACTS Benchmark Suite40.4%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 index34
Web design benchmarks for Claude Opus 4.1 and GPT-5.1
BenchmarkClaude Opus 4.1GPT-5.1Leader
Design Arena: websites11761187GPT-5.1
Design Arena: UI components11621163GPT-5.1
Design Arena: game dev11711178GPT-5.1
Design Arena: data viz11661204GPT-5.1
Design Arena: 3D11521060Claude Opus 4.1
Design Arena: all code categories11701170Tie
Design Arena: SVG11521149Claude Opus 4.1
Design Arena: ASCII art11671119Claude Opus 4.1
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index219
General benchmarks for Claude Opus 4.1 and GPT-5.1
BenchmarkClaude Opus 4.1GPT-5.1Leader
SAGE (Vals AI)31.4%43.2%GPT-5.1
MedScribe (Vals AI)73.9%88.1%GPT-5.1
IFBenchNot measured72.9%Only GPT-5.1 measured
Long context reasoning (AA-LCR)Not measured80.0%Only GPT-5.1 measured
DTBench80.0%90.1%GPT-5.1
LMCA37.1%43.9%GPT-5.1
Creative writing (Lech Mazur)84.7%Not measuredOnly Claude Opus 4.1 measured
CL-benchNot measured23.7%Only GPT-5.1 measured
CL-bench LifeNot measured17.3%Only GPT-5.1 measured
LMArena Text14191443GPT-5.1
LMArena Text: instruction following14351443GPT-5.1
LMArena Text: creative writing14121427GPT-5.1
LMArena VisionNot measured1250Only GPT-5.1 measured
LMArena Text: English14331451GPT-5.1
LMArena Text: non-English14051431GPT-5.1
LMArena Text: Chinese14271495GPT-5.1
LMArena Text: German14131438GPT-5.1
LMArena Text: Japanese13771453GPT-5.1
LMArena Text: Korean13811401GPT-5.1
LMArena Text: French14331450GPT-5.1
LMArena Text: Spanish14481433Claude Opus 4.1
LMArena Text: Russian14221435GPT-5.1
LMArena Text: Polish14131440GPT-5.1
LMArena Text: multi-turn14441450GPT-5.1
LMArena Text: longer queries14551448Claude Opus 4.1
LMArena Text: writing and language14181428GPT-5.1
LMArena Text: entertainment and media13981415GPT-5.1
LMArena Vision: EnglishNot measured1252Only GPT-5.1 measured
LMArena Vision: ChineseNot measured1270Only GPT-5.1 measured
LMArena Vision: reading textNot measured1255Only GPT-5.1 measured
LMArena Vision: humorNot measured1263Only GPT-5.1 measured
LMArena Vision: captioningNot measured1252Only GPT-5.1 measured
LMArena Vision: recognizing thingsNot measured1232Only GPT-5.1 measured
LMArena Vision: creative writingNot measured1266Only GPT-5.1 measured
LMArena DocumentNot measured1403Only GPT-5.1 measured
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 4.1 and GPT-5.1
BenchmarkClaude Opus 4.1GPT-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 4.1$0.052Fits 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 4.1$0.975Fits 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 4.1$3.75Exceeds the context window
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 4.1 and GPT-5.1
SpecificationAnthropic Claude Opus 4.1OpenAI GPT-5.1
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedAugust 5, 2025November 13, 2025
Context window200K400K
Input $/Mtok$15.00$1.25
Output $/Mtok$75.00$10.00
Coding indexNot benchmarked40.4
Independent measurements behind it13
Cost per solved taskNot computable$1.02
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.1 better than GPT-5.1 for coding?

Only GPT-5.1 has a coding score, 40.4 on the Vibe Coding Index; Claude Opus 4.1 has none, so the two cannot be ranked on coding. Pick Claude Opus 4.1 for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, Claude Opus 4.1 or GPT-5.1?

Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 per million output tokens; GPT-5.1 costs $1.25 and $10.00. Cost per solved task is known for GPT-5.1 only.

Which has the bigger context window, Claude Opus 4.1 or GPT-5.1?

GPT-5.1, with 400K tokens against 200K.

How many benchmarks is the Claude Opus 4.1 vs GPT-5.1 comparison based on?

64 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.1's coding index rests on 1 independent benchmark 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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