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Claude Opus 4.5 vs GPT-5.1

Claude Opus 4.5 leads GPT-5.1 on coding, 44.0 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; 88 benchmarks have a result for both.

Replace Claude Opus 4.5 Replace GPT-5.1
Claude Opus 4.5Anthropic
Coding
44.0
Overall
55.7
Output $/M
$25.00
60
GPT-5.1OpenAI
Coding
40.4
Overall
55.0
Output $/M
$10.00
27
vs boards won of 88 shared, 1 tied

Claude Opus 4.5 or GPT-5.1: which to pick

Pick Claude Opus 4.5 for coding: it scores 44.0 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 $1.37).

Model AClaude Opus 4.5Anthropic44.0/1003 independent benchmarks$1.37 per solved taskModel BGPT-5.1OpenAI40.4/1003 independent benchmarks$1.02 per solved task
Shared results
88
Claude Opus 4.5 only
20
GPT-5.1 only
13
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 4.5 44.0 from 3 benchmarks, GPT-5.1 40.4 from 3 benchmarks.
Widest category
Agentic work, 13.8 points apart on average over 3 shared benchmarks.
Widest single gap
LMArena WebDev: React: Claude Opus 4.5 1478 against GPT-5.1 1307, 28.6 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.5 $25.00 against GPT-5.1 $10.00 per million output tokens, 2.5x apart.
Context window
Claude Opus 4.5 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 4.5BarsGPT-5.1Ties
Coding122
Intelligence20
Agentic work30
Reasoning86
Math43
Knowledge681 tie
Web design80
General178
All shared boards60271 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index122
Coding benchmarks for Claude Opus 4.5 and GPT-5.1
BenchmarkClaude Opus 4.5GPT-5.1Leader
SWE-bench Verified79.2%66.0%Claude Opus 4.5
SWE-bench (full test set)52.6%Not measuredOnly Claude Opus 4.5 measured
SWE-bench Multilingual70.7%Not measuredOnly Claude Opus 4.5 measured
LMArena WebDev14941396Claude Opus 4.5
AA Coding IndexNot measured49.4Only GPT-5.1 measured
LiveCodeBench (Vals AI)83.7%86.5%GPT-5.1
SWE-bench Verified (Vals AI)76.4%69.8%Claude Opus 4.5
Vibe Code Bench (Vals AI)20.6%24.6%GPT-5.1
LiveCodeBench (Artificial Analysis run)87.1%86.8%Claude Opus 4.5
Terminal-Bench Hard (Artificial Analysis run)47.0%45.5%Claude Opus 4.5
Terminal-Bench63.1%47.6%Claude Opus 4.5
GSO-Bench26.5%13.7%Claude Opus 4.5
WeirdML63.7%60.8%Claude Opus 4.5
Cybench82.0%Not measuredOnly Claude Opus 4.5 measured
LMArena Text: coding15031453Claude Opus 4.5
LMArena Text: software and IT14831454Claude Opus 4.5
LMArena WebDev: React14781307Claude Opus 4.5
LMArena WebDev: HTML15101405Claude Opus 4.5
LMArena WebDev: from an imageNot measured1421Only GPT-5.1 measured
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 4.5 and GPT-5.1
BenchmarkClaude Opus 4.5GPT-5.1Leader
AA Intelligence Index29.124.7Claude Opus 4.5
Epoch Capabilities Index150.1149.8Claude Opus 4.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index30
Agentic work benchmarks for Claude Opus 4.5 and GPT-5.1
BenchmarkClaude Opus 4.5GPT-5.1Leader
Design Arena: agents building web apps1159Not measuredOnly Claude Opus 4.5 measured
Design Arena: agents building full-stack apps1156Not measuredOnly Claude Opus 4.5 measured
Design Arena: agents building mobile apps1189Not measuredOnly Claude Opus 4.5 measured
Design Arena: agents building Android apps1176Not measuredOnly Claude Opus 4.5 measured
τ²-Bench Telecom89.5%81.9%Claude Opus 4.5
METR time horizons75.0%Not measuredOnly Claude Opus 4.5 measured
Remote Labor Index3.8%Not measuredOnly Claude Opus 4.5 measured
GDPval45.5%Not measuredOnly Claude Opus 4.5 measured
BALROG43.5%Not measuredOnly Claude Opus 4.5 measured
DeepResearch Bench54.8%42.8%Claude Opus 4.5
OSWorld66.3%Not measuredOnly Claude Opus 4.5 measured
Vending-Bench 2$4,967$1,473Claude Opus 4.5
Berkeley Function Calling Leaderboard (BFCL)77.5%Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index86
Reasoning benchmarks for Claude Opus 4.5 and GPT-5.1
BenchmarkClaude Opus 4.5GPT-5.1Leader
GPQA Diamond85.9%86.6%GPT-5.1
MMMU Pro (Vals AI)83.0%83.2%GPT-5.1
GPQA Diamond (Artificial Analysis run)86.6%87.3%GPT-5.1
Humanity's Last Exam (Artificial Analysis run)30.1%28.5%Claude Opus 4.5
GPQA Diamond (Epoch AI run)86.0%87.6%GPT-5.1
ARC-AGI80.0%72.8%Claude Opus 4.5
ARC-AGI-237.6%17.6%Claude Opus 4.5
SimpleBench62.0%53.2%Claude Opus 4.5
Chess puzzles14.0%42.0%GPT-5.1
Mystery game puzzles22.0%19.0%Claude Opus 4.5
EBR-bench14.3%Not measuredOnly Claude Opus 4.5 measured
VPCT40.0%58.7%GPT-5.1
LMArena Text: hard prompts14761457Claude Opus 4.5
LMArena Text: expert14871470Claude Opus 4.5
LMArena Text: hard prompts in English14821462Claude Opus 4.5
LMArena Vision: diagramsNot measured1264Only GPT-5.1 measured
LMArena Vision: homeworkNot measured1272Only GPT-5.1 measured
Kagi LLM Benchmark80.2%Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index43
Math benchmarks for Claude Opus 4.5 and GPT-5.1
BenchmarkClaude Opus 4.5GPT-5.1Leader
AIME95.4%93.3%Claude Opus 4.5
MGSM (Vals AI)95.2%93.0%Claude Opus 4.5
AA Math Index91.394.0GPT-5.1
AIME 2025 (Artificial Analysis run)91.3%94.0%GPT-5.1
OTIS Mock AIME86.1%88.6%GPT-5.1
FrontierMath, tiers 1 to 334.4%Not measuredOnly Claude Opus 4.5 measured
FrontierMath, tier 44.9%Not measuredOnly Claude Opus 4.5 measured
ProofBench36.0%Not measuredOnly Claude Opus 4.5 measured
LMArena Text: math14631446Claude Opus 4.5
LMArena Text: mathematical work14681449Claude Opus 4.5
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index68
Knowledge benchmarks for Claude Opus 4.5 and GPT-5.1
BenchmarkClaude Opus 4.5GPT-5.1Leader
MMLU Pro87.3%86.4%Claude Opus 4.5
LegalBench (Vals AI)84.6%85.7%GPT-5.1
CaseLaw (Vals AI)62.6%73.4%GPT-5.1
CorpFin (Vals AI)65.1%63.8%Claude Opus 4.5
TaxEval (Vals AI)74.9%74.9%Tie
MortgageTax (Vals AI)68.7%61.4%Claude Opus 4.5
MedQA (Vals AI)95.9%96.4%GPT-5.1
MedCode (Vals AI)49.2%52.7%GPT-5.1
MMLU Pro (Artificial Analysis run)89.5%87.0%Claude Opus 4.5
SimpleQA Verified45.7%48.0%GPT-5.1
GeoBench75.0%Not measuredOnly Claude Opus 4.5 measured
LMArena Text: science14541459GPT-5.1
LMArena Text: medicine and healthcare14441456GPT-5.1
LMArena Text: legal and government14591459Claude Opus 4.5
LMArena Text: business and finance14481431Claude Opus 4.5
FACTS Benchmark Suite43.9%45.0%GPT-5.1
Neither model has a result on the other 2 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for Claude Opus 4.5 and GPT-5.1
BenchmarkClaude Opus 4.5GPT-5.1Leader
Design Arena: websites12471187Claude Opus 4.5
Design Arena: UI components12351163Claude Opus 4.5
Design Arena: game dev12281178Claude Opus 4.5
Design Arena: data viz12431204Claude Opus 4.5
Design Arena: 3D12131060Claude Opus 4.5
Design Arena: all code categories12421170Claude Opus 4.5
Design Arena: SVG11801149Claude Opus 4.5
Design Arena: ASCII art11901119Claude Opus 4.5
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index178
General benchmarks for Claude Opus 4.5 and GPT-5.1
BenchmarkClaude Opus 4.5GPT-5.1Leader
SAGE (Vals AI)52.1%43.2%Claude Opus 4.5
MedScribe (Vals AI)85.3%88.1%GPT-5.1
IFBench58.0%72.9%GPT-5.1
Long context reasoning (AA-LCR)77.3%80.0%GPT-5.1
DTBench89.9%90.1%GPT-5.1
LMCA44.5%43.9%Claude Opus 4.5
CL-bench21.1%23.7%GPT-5.1
Furniture assembly28.3%Not measuredOnly Claude Opus 4.5 measured
CL-bench LifeNot measured17.3%Only GPT-5.1 measured
LMArena Text14511443Claude Opus 4.5
LMArena Text: instruction following14781443Claude Opus 4.5
LMArena Text: creative writing14451427Claude Opus 4.5
LMArena VisionNot measured1250Only GPT-5.1 measured
LMArena Text: English14611451Claude Opus 4.5
LMArena Text: non-English14381431Claude Opus 4.5
LMArena Text: Chinese14701495GPT-5.1
LMArena Text: German14491438Claude Opus 4.5
LMArena Text: Japanese14171453GPT-5.1
LMArena Text: Korean14241401Claude Opus 4.5
LMArena Text: French14711450Claude Opus 4.5
LMArena Text: Spanish14571433Claude Opus 4.5
LMArena Text: Russian14471435Claude Opus 4.5
LMArena Text: Polish14391440GPT-5.1
LMArena Text: multi-turn14661450Claude Opus 4.5
LMArena Text: longer queries14791448Claude Opus 4.5
LMArena Text: writing and language14521428Claude Opus 4.5
LMArena Text: entertainment and media14341415Claude Opus 4.5
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 Document14621403Claude Opus 4.5
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 4.5 and GPT-5.1
BenchmarkClaude Opus 4.5GPT-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 4.5$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 4.5$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 4.5$1.25Exceeds 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 4.5 and GPT-5.1
SpecificationAnthropic Claude Opus 4.5OpenAI GPT-5.1
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedNovember 24, 2025November 13, 2025
Context window200K400K
Input $/Mtok$5.00$1.25
Output $/Mtok$25.00$10.00
Coding index44.040.4
Independent measurements behind it33
Cost per solved task$1.37$1.02
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.5 better than GPT-5.1 for coding?

Pick Claude Opus 4.5 for coding: it scores 44.0 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 $1.37).

Which is cheaper, Claude Opus 4.5 or GPT-5.1?

Claude Opus 4.5 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 4.5 costs $1.37 and GPT-5.1 $1.02.

Which has the bigger context window, Claude Opus 4.5 or GPT-5.1?

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

How many benchmarks is the Claude Opus 4.5 vs GPT-5.1 comparison based on?

88 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.5's coding index rests on 3 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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