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Claude Opus 4.1 vs GPT-5.4

Updated October 21, 2026. 64 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Claude Opus 4.1 Replace GPT-5.4
Claude Opus 4.1Anthropic
Coding
27.2
Overall
22.8
Output $/M
$75.00
5
GPT-5.4OpenAI
Coding
37.7
Overall
39.0
Output $/M
$15.00
59
vs boards won of 64 shared

Decision reading

Pick GPT-5.4 for coding: it scores 37.7 on the Vibe Coding Index against 27.2 for Claude Opus 4.1.

Pick Claude Opus 4.1 when what matters is DeepResearch Bench or MMLU Pro, where it leads.

Model AClaude Opus 4.1Anthropic27.2/1001 independent benchmarkNo cost per solved taskModel BGPT-5.4OpenAI37.7/1001 independent benchmark$1.02 per solved task
Shared results
64
Claude Opus 4.1 only
7
GPT-5.4 only
45
Like-for-like categories
8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 27.2 from 1 benchmark, GPT-5.4 37.7 from 1 benchmark.
Widest category
Math, 30.0 points apart on average over 6 shared benchmarks.
Widest single gap
FrontierMath, tiers 1 to 3: Claude Opus 4.1 12.6% against GPT-5.4 78.6%, 66.0 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.1 $75.00 against GPT-5.4 $15.00 per million output tokens, 5.0x apart.
Context window
Claude Opus 4.1 takes 200K tokens, GPT-5.4 1.05M.

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-5.4Ties
Coding07
Intelligence02
Agentic work11
Reasoning08
Math06
Knowledge28
Web design26
General021
All shared boards559
CodingLike-for-likeFour of these boards feed the Vibe Coding Index07
Coding benchmarks for Claude Opus 4.1 and GPT-5.4
BenchmarkClaude Opus 4.1GPT-5.4Leader
LMArena WebDev13901464GPT-5.4
AA Coding IndexNot measured71.1Only GPT-5.4 measured
LiveCodeBench (Vals AI)66.5%84.1%GPT-5.4
SWE-bench Verified (Vals AI)Not measured78.2%Only GPT-5.4 measured
Vibe Code Bench (Vals AI)Not measured67.4%Only GPT-5.4 measured
Code migration (Vals AI)Not measured35.0%Only GPT-5.4 measured
ProgramBench (Vals AI)Not measured0.5%Only GPT-5.4 measured
SkillsBench (Vals AI)Not measured51.7%Only GPT-5.4 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured57.6%Only GPT-5.4 measured
Terminal-Bench38.0%81.8%GPT-5.4
GSO-BenchNot measured31.4%Only GPT-5.4 measured
WeirdML45.9%77.7%GPT-5.4
MirrorCodeNot measured15.6%Only GPT-5.4 measured
Cybench42.0%Not measuredOnly Claude Opus 4.1 measured
ALE-BenchNot measured1607.0Only GPT-5.4 measured
LMArena Text: coding14791496GPT-5.4
LMArena Text: software and IT14561491GPT-5.4
LMArena WebDev: ReactNot measured1454Only GPT-5.4 measured
LMArena WebDev: HTML13991478GPT-5.4
LMArena WebDev: from an imageNot measured1436Only GPT-5.4 measured
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Claude Opus 4.1 and GPT-5.4
BenchmarkClaude Opus 4.1GPT-5.4Leader
AA Intelligence Index22.839.0GPT-5.4
Epoch Capabilities Index144.1157.3GPT-5.4
Agentic workLike-for-likePublic boards, shown as published, kept out of the index11
Agentic work benchmarks for Claude Opus 4.1 and GPT-5.4
BenchmarkClaude Opus 4.1GPT-5.4Leader
Design Arena: agents building web appsNot measured1059Only GPT-5.4 measured
Design Arena: agents building full-stack appsNot measured1017Only GPT-5.4 measured
Design Arena: agents building mobile appsNot measured1087Only GPT-5.4 measured
Design Arena: agents building Android appsNot measured1037Only GPT-5.4 measured
Design Arena: agents building Godot gamesNot measured1135Only GPT-5.4 measured
τ²-Bench TelecomNot measured87.1%Only GPT-5.4 measured
APEX-AgentsNot measured52.4%Only GPT-5.4 measured
METR time horizons66.8%74.3%GPT-5.4
GDPval43.6%Not measuredOnly Claude Opus 4.1 measured
DeepResearch Bench48.3%35.1%Claude Opus 4.1
PostTrainBenchNot measured19.0%Only GPT-5.4 measured
Vending-Bench 2Not measured$6,144Only GPT-5.4 measured
Neither model has a result on the other 27 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index08
Reasoning benchmarks for Claude Opus 4.1 and GPT-5.4
BenchmarkClaude Opus 4.1GPT-5.4Leader
GPQA Diamond76.3%91.7%GPT-5.4
MMMU Pro (Vals AI)77.5%87.5%GPT-5.4
GPQA Diamond (Artificial Analysis run)Not measured92.0%Only GPT-5.4 measured
Humanity's Last Exam (Artificial Analysis run)Not measured43.7%Only GPT-5.4 measured
GPQA Diamond (Epoch AI run)77.3%93.3%GPT-5.4
ARC-AGINot measured93.7%Only GPT-5.4 measured
ARC-AGI-2Not measured74.0%Only GPT-5.4 measured
SimpleBench60.0%Not measuredOnly Claude Opus 4.1 measured
Chess puzzlesNot measured48.0%Only GPT-5.4 measured
Mystery game puzzles21.0%37.0%GPT-5.4
EBR-bench7.9%25.4%GPT-5.4
VPCT35.0%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: hard prompts14421485GPT-5.4
LMArena Text: expert14381507GPT-5.4
LMArena Text: hard prompts in English14511479GPT-5.4
LMArena Vision: diagramsNot measured1327Only GPT-5.4 measured
LMArena Vision: homeworkNot measured1336Only GPT-5.4 measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index06
Math benchmarks for Claude Opus 4.1 and GPT-5.4
BenchmarkClaude Opus 4.1GPT-5.4Leader
AIME78.2%96.7%GPT-5.4
MATH 500 (Vals AI)95.4%Not measuredOnly Claude Opus 4.1 measured
MGSM (Vals AI)94.4%Not measuredOnly Claude Opus 4.1 measured
OTIS Mock AIME68.9%97.8%GPT-5.4
FrontierMath, tiers 1 to 312.6%78.6%GPT-5.4
FrontierMath, tier 42.4%49.0%GPT-5.4
ProofBenchNot measured56.0%Only GPT-5.4 measured
LMArena Text: math14311488GPT-5.4
LMArena Text: mathematical work14341497GPT-5.4
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index28
Knowledge benchmarks for Claude Opus 4.1 and GPT-5.4
BenchmarkClaude Opus 4.1GPT-5.4Leader
MMLU Pro87.9%87.5%Claude Opus 4.1
LegalBench (Vals AI)83.5%86.0%GPT-5.4
CaseLaw (Vals AI)Not measured63.8%Only GPT-5.4 measured
CorpFin (Vals AI)Not measured65.3%Only GPT-5.4 measured
TaxEval (Vals AI)73.7%74.0%GPT-5.4
MortgageTax (Vals AI)61.1%68.3%GPT-5.4
MedQA (Vals AI)93.6%96.1%GPT-5.4
MedCode (Vals AI)47.2%41.3%Claude Opus 4.1
SimpleQA VerifiedNot measured45.1%Only GPT-5.4 measured
LMArena Text: science14221479GPT-5.4
LMArena Text: medicine and healthcare14161458GPT-5.4
LMArena Text: legal and government14211486GPT-5.4
LMArena Text: business and finance14061474GPT-5.4
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index26
Web design benchmarks for Claude Opus 4.1 and GPT-5.4
BenchmarkClaude Opus 4.1GPT-5.4Leader
Design Arena: websites11771199GPT-5.4
Design Arena: UI components11641215GPT-5.4
Design Arena: game dev11721195GPT-5.4
Design Arena: data viz11661196GPT-5.4
Design Arena: 3D11531065Claude Opus 4.1
Design Arena: all code categories11711180GPT-5.4
Design Arena: SVG11521141Claude Opus 4.1
Design Arena: ASCII art11671188GPT-5.4
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index021
General benchmarks for Claude Opus 4.1 and GPT-5.4
BenchmarkClaude Opus 4.1GPT-5.4Leader
SAGE (Vals AI)31.4%43.3%GPT-5.4
MedScribe (Vals AI)73.9%77.5%GPT-5.4
IFBenchNot measured73.9%Only GPT-5.4 measured
Long context reasoning (AA-LCR)Not measured82.0%Only GPT-5.4 measured
DTBench80.0%94.4%GPT-5.4
LMCA37.1%52.0%GPT-5.4
Creative writing (Lech Mazur)84.7%Not measuredOnly Claude Opus 4.1 measured
CL-benchNot measured27.9%Only GPT-5.4 measured
Furniture assemblyNot measured37.5%Only GPT-5.4 measured
CL-bench LifeNot measured21.7%Only GPT-5.4 measured
LMArena Text14191469GPT-5.4
LMArena Text: instruction following14351469GPT-5.4
LMArena Text: creative writing14121439GPT-5.4
LMArena VisionNot measured1303Only GPT-5.4 measured
LMArena Text: English14331467GPT-5.4
LMArena Text: non-English14051465GPT-5.4
LMArena Text: Chinese14271520GPT-5.4
LMArena Text: German14131472GPT-5.4
LMArena Text: Japanese13771485GPT-5.4
LMArena Text: Korean13811449GPT-5.4
LMArena Text: French14331493GPT-5.4
LMArena Text: Spanish14481452GPT-5.4
LMArena Text: Russian14221480GPT-5.4
LMArena Text: Polish14131472GPT-5.4
LMArena Text: multi-turn14441482GPT-5.4
LMArena Text: longer queries14551473GPT-5.4
LMArena Text: writing and language14181458GPT-5.4
LMArena Text: entertainment and media13981438GPT-5.4
LMArena Vision: EnglishNot measured1301Only GPT-5.4 measured
LMArena Vision: ChineseNot measured1354Only GPT-5.4 measured
LMArena Vision: reading textNot measured1312Only GPT-5.4 measured
LMArena Vision: humorNot measured1284Only GPT-5.4 measured
LMArena Vision: recognizing thingsNot measured1251Only GPT-5.4 measured
LMArena Vision: creative writingNot measured1283Only GPT-5.4 measured
LMArena DocumentNot measured1471Only GPT-5.4 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-5.4
BenchmarkClaude Opus 4.1GPT-5.4Leader
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-5.4$0.010Fits in one request

GPT-5.4 costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.1$0.975Fits in one request
GPT-5.4$0.170Fits in one request

GPT-5.4 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.1$3.75Exceeds the context window
GPT-5.4$0.650Fits in one request

GPT-5.4 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-5.4
SpecificationAnthropic Claude Opus 4.1OpenAI GPT-5.4
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedAugust 5, 2025March 5, 2026
Context window200K1.05M
Input $/Mtok$15.00$2.50
Output $/Mtok$75.00$15.00
Coding index27.237.7
Independent measurements behind it11
Cost per solved taskNot computable$1.02
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.1 better than GPT-5.4 for coding?

Pick GPT-5.4 for coding: it scores 37.7 on the Vibe Coding Index against 27.2 for Claude Opus 4.1. Pick Claude Opus 4.1 when what matters is DeepResearch Bench or MMLU Pro, where it leads.

Which is cheaper, Claude Opus 4.1 or GPT-5.4?

Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 per million output tokens; GPT-5.4 costs $2.50 and $15.00. Cost per solved task is known for GPT-5.4 only.

Which has the bigger context window, Claude Opus 4.1 or GPT-5.4?

GPT-5.4, with 1.05M tokens against 200K.

How many benchmarks is the Claude Opus 4.1 vs GPT-5.4 comparison based on?

64 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.1's coding index rests on 1 independent benchmark and GPT-5.4's on 1. Where only one model has a result, the page says so instead of naming a winner.

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