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Claude Opus 4.1 vs GPT-4.1

Updated October 21, 2026. 54 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-4.1
Claude Opus 4.1Anthropic
Coding
27.2
Overall
22.8
Output $/M
$75.00
52
GPT-4.1OpenAI
Coding
46.5
Overall
12.7
Output $/M
$8.00
2
vs boards won of 54 shared

Decision reading

Pick GPT-4.1 for coding: it scores 46.5 on the Vibe Coding Index against 27.2 for Claude Opus 4.1.

Pick Claude Opus 4.1 when what matters is LiveCodeBench (Vals AI) or WeirdML, where it leads.

Model AClaude Opus 4.1Anthropic27.2/1001 independent benchmarkNo cost per solved taskModel BGPT-4.1OpenAI46.5/1002 independent benchmarks$0.37 per solved task
Shared results
54
Claude Opus 4.1 only
17
GPT-4.1 only
33
Like-for-like categories
7 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-4.1 46.5 from 2 benchmarks.
Widest category
Web design, 18.8 points apart on average over 6 shared benchmarks.
Widest single gap
AIME: Claude Opus 4.1 78.2% against GPT-4.1 39.6%, 38.6 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.1 $75.00 against GPT-4.1 $8.00 per million output tokens, 9.4x apart.
Context window
Claude Opus 4.1 takes 200K tokens, GPT-4.1 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-4.1Ties
Coding40
Intelligence20
Reasoning70
Math70
Knowledge72
Web design60
General190
All shared boards522
CodingLike-for-likeFour of these boards feed the Vibe Coding Index40
Coding benchmarks for Claude Opus 4.1 and GPT-4.1
BenchmarkClaude Opus 4.1GPT-4.1Leader
Aider polyglotNot measured52.4%Only GPT-4.1 measured
SWE-bench VerifiedNot measured39.6%Only GPT-4.1 measured
SWE-bench MultimodalNot measured31.1%Only GPT-4.1 measured
LMArena WebDev1390Not measuredOnly Claude Opus 4.1 measured
LiveCodeBench (Vals AI)66.5%54.7%Claude Opus 4.1
LiveCodeBench (Artificial Analysis run)Not measured45.7%Only GPT-4.1 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured13.6%Only GPT-4.1 measured
Terminal-Bench38.0%Not measuredOnly Claude Opus 4.1 measured
WeirdML45.9%39.0%Claude Opus 4.1
Cybench42.0%Not measuredOnly Claude Opus 4.1 measured
ALE-BenchNot measured558.1Only GPT-4.1 measured
LMArena Text: coding14791390Claude Opus 4.1
LMArena Text: software and IT14561391Claude Opus 4.1
LMArena WebDev: HTML1399Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 4.1 and GPT-4.1
BenchmarkClaude Opus 4.1GPT-4.1Leader
AA Intelligence Index22.812.7Claude Opus 4.1
Epoch Capabilities Index144.1136.7Claude Opus 4.1
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Agentic work benchmarks for Claude Opus 4.1 and GPT-4.1
BenchmarkClaude Opus 4.1GPT-4.1Leader
τ²-Bench TelecomNot measured47.1%Only GPT-4.1 measured
METR time horizons66.8%Not measuredOnly Claude Opus 4.1 measured
GDPval43.6%Not measuredOnly Claude Opus 4.1 measured
DeepResearch Bench48.3%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index70
Reasoning benchmarks for Claude Opus 4.1 and GPT-4.1
BenchmarkClaude Opus 4.1GPT-4.1Leader
GPQA Diamond76.3%65.4%Claude Opus 4.1
MMMU Pro (Vals AI)77.5%72.4%Claude Opus 4.1
GPQA Diamond (Artificial Analysis run)Not measured66.6%Only GPT-4.1 measured
Humanity's Last Exam (Artificial Analysis run)Not measured4.2%Only GPT-4.1 measured
GPQA Diamond (Epoch AI run)77.3%66.9%Claude Opus 4.1
ARC-AGINot measured5.5%Only GPT-4.1 measured
ARC-AGI-2Not measured0.4%Only GPT-4.1 measured
SimpleBench60.0%27.0%Claude Opus 4.1
Chess puzzlesNot measured3.0%Only GPT-4.1 measured
Mystery game puzzles21.0%Not measuredOnly Claude Opus 4.1 measured
EBR-bench7.9%Not measuredOnly Claude Opus 4.1 measured
VPCT35.0%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: hard prompts14421384Claude Opus 4.1
LMArena Text: expert14381364Claude Opus 4.1
LMArena Text: hard prompts in English14511393Claude Opus 4.1
LMArena Vision: diagramsNot measured1215Only GPT-4.1 measured
LMArena Vision: homeworkNot measured1248Only GPT-4.1 measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index70
Math benchmarks for Claude Opus 4.1 and GPT-4.1
BenchmarkClaude Opus 4.1GPT-4.1Leader
AIME78.2%39.6%Claude Opus 4.1
MATH 500 (Vals AI)95.4%87.2%Claude Opus 4.1
MGSM (Vals AI)94.4%87.7%Claude Opus 4.1
AA Math IndexNot measured34.7Only GPT-4.1 measured
AIME 2025 (Artificial Analysis run)Not measured34.7%Only GPT-4.1 measured
OTIS Mock AIME68.9%38.3%Claude Opus 4.1
FrontierMath, tiers 1 to 312.6%6.0%Claude Opus 4.1
FrontierMath, tier 42.4%Not measuredOnly Claude Opus 4.1 measured
MATH level 5Not measured83.0%Only GPT-4.1 measured
LMArena Text: math14311369Claude Opus 4.1
LMArena Text: mathematical work14341360Claude Opus 4.1
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index72
Knowledge benchmarks for Claude Opus 4.1 and GPT-4.1
BenchmarkClaude Opus 4.1GPT-4.1Leader
MMLU Pro87.9%80.5%Claude Opus 4.1
LegalBench (Vals AI)83.5%83.1%Claude Opus 4.1
CaseLaw (Vals AI)Not measured69.9%Only GPT-4.1 measured
CorpFin (Vals AI)Not measured63.0%Only GPT-4.1 measured
TaxEval (Vals AI)73.7%75.1%GPT-4.1
MortgageTax (Vals AI)61.1%65.9%GPT-4.1
MedQA (Vals AI)93.6%91.2%Claude Opus 4.1
MedCode (Vals AI)47.2%Not measuredOnly Claude Opus 4.1 measured
MMLU Pro (Artificial Analysis run)Not measured80.6%Only GPT-4.1 measured
SimpleQA VerifiedNot measured31.1%Only GPT-4.1 measured
GeoBenchNot measured72.0%Only GPT-4.1 measured
LMArena Text: science14221382Claude Opus 4.1
LMArena Text: medicine and healthcare14161379Claude Opus 4.1
LMArena Text: legal and government14211399Claude Opus 4.1
LMArena Text: business and finance14061369Claude Opus 4.1
Neither model has a result on the other 2 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for Claude Opus 4.1 and GPT-4.1
BenchmarkClaude Opus 4.1GPT-4.1Leader
Design Arena: websites11771039Claude Opus 4.1
Design Arena: UI components11641000Claude Opus 4.1
Design Arena: game dev11721080Claude Opus 4.1
Design Arena: data viz11661104Claude Opus 4.1
Design Arena: 3D1153850Claude Opus 4.1
Design Arena: all code categories11711026Claude Opus 4.1
Design Arena: SVG1152Not measuredOnly Claude Opus 4.1 measured
Design Arena: ASCII art1167Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index190
General benchmarks for Claude Opus 4.1 and GPT-4.1
BenchmarkClaude Opus 4.1GPT-4.1Leader
SAGE (Vals AI)31.4%Not measuredOnly Claude Opus 4.1 measured
MedScribe (Vals AI)73.9%Not measuredOnly Claude Opus 4.1 measured
IFBenchNot measured43.0%Only GPT-4.1 measured
Long context reasoning (AA-LCR)Not measured68.3%Only GPT-4.1 measured
DTBench80.0%68.3%Claude Opus 4.1
LMCA37.1%25.6%Claude Opus 4.1
Fiction.LiveBenchNot measured63.9%Only GPT-4.1 measured
Creative writing (Lech Mazur)84.7%Not measuredOnly Claude Opus 4.1 measured
LMArena Text14191383Claude Opus 4.1
LMArena Text: instruction following14351367Claude Opus 4.1
LMArena Text: creative writing14121363Claude Opus 4.1
LMArena VisionNot measured1210Only GPT-4.1 measured
LMArena Text: English14331392Claude Opus 4.1
LMArena Text: non-English14051370Claude Opus 4.1
LMArena Text: Chinese14271382Claude Opus 4.1
LMArena Text: German14131381Claude Opus 4.1
LMArena Text: Japanese13771319Claude Opus 4.1
LMArena Text: Korean13811338Claude Opus 4.1
LMArena Text: French14331382Claude Opus 4.1
LMArena Text: Spanish14481376Claude Opus 4.1
LMArena Text: Russian14221377Claude Opus 4.1
LMArena Text: Polish14131389Claude Opus 4.1
LMArena Text: multi-turn14441397Claude Opus 4.1
LMArena Text: longer queries14551385Claude Opus 4.1
LMArena Text: writing and language14181371Claude Opus 4.1
LMArena Text: entertainment and media13981365Claude Opus 4.1
LMArena Vision: EnglishNot measured1209Only GPT-4.1 measured
LMArena Vision: ChineseNot measured1226Only GPT-4.1 measured
LMArena Vision: reading textNot measured1218Only GPT-4.1 measured
LMArena Vision: humorNot measured1196Only GPT-4.1 measured
LMArena Vision: captioningNot measured1207Only GPT-4.1 measured
LMArena Vision: recognizing thingsNot measured1208Only GPT-4.1 measured
LMArena Vision: creative writingNot measured1210Only GPT-4.1 measured
Neither model has a result on the other 13 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-4.1
BenchmarkClaude Opus 4.1GPT-4.1Leader
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-4.1$0.0060Fits in one request

GPT-4.1 costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.1$0.975Fits in one request
GPT-4.1$0.124Fits in one request

GPT-4.1 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.1$3.75Exceeds the context window
GPT-4.1$0.480Fits in one request

GPT-4.1 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-4.1
SpecificationAnthropic Claude Opus 4.1OpenAI GPT-4.1
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedAugust 5, 2025April 14, 2025
Context window200K1.05M
Input $/Mtok$15.00$2.00
Output $/Mtok$75.00$8.00
Coding index27.246.5
Independent measurements behind it12
Cost per solved taskNot computable$0.37
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick GPT-4.1 for coding: it scores 46.5 on the Vibe Coding Index against 27.2 for Claude Opus 4.1. Pick Claude Opus 4.1 when what matters is LiveCodeBench (Vals AI) or WeirdML, where it leads.

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

Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 per million output tokens; GPT-4.1 costs $2.00 and $8.00. Cost per solved task is known for GPT-4.1 only.

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

GPT-4.1, with 1.05M tokens against 200K.

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

54 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-4.1's on 2. Where only one model has a result, the page says so instead of naming a winner.

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