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Claude Opus 4.1 vs GPT-4o (2024-05-13)

Claude Opus 4.1 leads GPT-4o (2024-05-13) on the Artificial Analysis Intelligence Index, 22.8 to 7.3, and GPT-4o (2024-05-13) costs 5.0x less per output token ($15.00 vs $75.00 per million). Updated October 22, 2026; 33 benchmarks have a result for both.

Replace Claude Opus 4.1 Replace GPT-4o (2024-05-13)
Claude Opus 4.1Anthropic
Coding
No data
Overall
50.2
Output $/M
$75.00
33
GPT-4o (2024-05-13)OpenAI
Coding
No data
Overall
27.1
Output $/M
$15.00
0
vs boards won of 33 shared

Claude Opus 4.1 or GPT-4o (2024-05-13): which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Claude Opus 4.1 for a larger context window (200K against 128K tokens).

Model AClaude Opus 4.1AnthropicNot benchmarked1 independent benchmarkNo cost per solved taskModel BGPT-4o (2024-05-13)OpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
33
Claude Opus 4.1 only
43
GPT-4o (2024-05-13) only
11
Like-for-like categories
7 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-4o (2024-05-13) not benchmarked.
Widest category
Math, 37.3 points apart on average over 3 shared benchmarks.
Widest single gap
OTIS Mock AIME: Claude Opus 4.1 68.9% against GPT-4o (2024-05-13) 6.3%, 62.6 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.1 $75.00 against GPT-4o (2024-05-13) $15.00 per million output tokens, 5.0x apart.
Context window
Claude Opus 4.1 takes 200K tokens, GPT-4o (2024-05-13) 128K.

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-4o (2024-05-13)Ties
Coding20
Intelligence10
Agentic work10
Reasoning50
Math30
Knowledge40
General170
All shared boards330
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Claude Opus 4.1 and GPT-4o (2024-05-13)
BenchmarkClaude Opus 4.1GPT-4o (2024-05-13)Leader
LMArena WebDev1390Not measuredOnly Claude Opus 4.1 measured
AA Coding IndexNot measured24.2Only GPT-4o (2024-05-13) measured
LiveCodeBench (Vals AI)66.5%Not measuredOnly Claude Opus 4.1 measured
LiveCodeBench (Artificial Analysis run)Not measured33.4%Only GPT-4o (2024-05-13) measured
Terminal-Bench38.0%Not measuredOnly Claude Opus 4.1 measured
WeirdML45.9%Not measuredOnly Claude Opus 4.1 measured
Cybench42.0%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: coding14791297Claude Opus 4.1
LMArena Text: software and IT14561297Claude Opus 4.1
LMArena WebDev: HTML1399Not measuredOnly Claude Opus 4.1 measured
SciCode4.6%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 32 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Opus 4.1 and GPT-4o (2024-05-13)
BenchmarkClaude Opus 4.1GPT-4o (2024-05-13)Leader
AA Intelligence Index22.87.3Claude Opus 4.1
Epoch Capabilities Index144.1Not measuredOnly Claude Opus 4.1 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Claude Opus 4.1 and GPT-4o (2024-05-13)
BenchmarkClaude Opus 4.1GPT-4o (2024-05-13)Leader
METR time horizons66.8%40.8%Claude Opus 4.1
GDPval43.6%Not measuredOnly Claude Opus 4.1 measured
BALROGNot measured32.3%Only GPT-4o (2024-05-13) measured
DeepResearch Bench48.3%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for Claude Opus 4.1 and GPT-4o (2024-05-13)
BenchmarkClaude Opus 4.1GPT-4o (2024-05-13)Leader
GPQA Diamond76.3%50.2%Claude Opus 4.1
MMMU Pro (Vals AI)77.5%Not measuredOnly Claude Opus 4.1 measured
GPQA Diamond (Artificial Analysis run)Not measured52.6%Only GPT-4o (2024-05-13) measured
Humanity's Last Exam (Artificial Analysis run)Not measured1.8%Only GPT-4o (2024-05-13) measured
GPQA Diamond (Epoch AI run)77.3%48.9%Claude Opus 4.1
SimpleBench60.0%Not measuredOnly Claude Opus 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 prompts14421281Claude Opus 4.1
LMArena Text: expert14381250Claude Opus 4.1
LMArena Text: hard prompts in English14511293Claude Opus 4.1
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Claude Opus 4.1 and GPT-4o (2024-05-13)
BenchmarkClaude Opus 4.1GPT-4o (2024-05-13)Leader
AIME78.2%Not measuredOnly Claude Opus 4.1 measured
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%6.3%Claude Opus 4.1
FrontierMath, tiers 1 to 312.6%Not measuredOnly Claude Opus 4.1 measured
FrontierMath, tier 42.4%Not measuredOnly Claude Opus 4.1 measured
MATH level 5Not measured51.0%Only GPT-4o (2024-05-13) measured
LMArena Text: math14311284Claude Opus 4.1
LMArena Text: mathematical work14341284Claude Opus 4.1
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Claude Opus 4.1 and GPT-4o (2024-05-13)
BenchmarkClaude Opus 4.1GPT-4o (2024-05-13)Leader
MMLU Pro87.9%Not measuredOnly Claude Opus 4.1 measured
LegalBench (Vals AI)83.5%Not measuredOnly Claude Opus 4.1 measured
TaxEval (Vals AI)73.7%Not measuredOnly Claude Opus 4.1 measured
MortgageTax (Vals AI)61.1%Not measuredOnly Claude Opus 4.1 measured
MedQA (Vals AI)93.6%Not measuredOnly Claude Opus 4.1 measured
MedCode (Vals AI)47.2%Not measuredOnly Claude Opus 4.1 measured
MMLU Pro (Artificial Analysis run)Not measured74.0%Only GPT-4o (2024-05-13) measured
MMLUNot measured84.2%Only GPT-4o (2024-05-13) measured
LMArena Text: science14221295Claude Opus 4.1
LMArena Text: medicine and healthcare14161278Claude Opus 4.1
LMArena Text: legal and government14211314Claude Opus 4.1
LMArena Text: business and finance14061262Claude Opus 4.1
FACTS Benchmark Suite40.4%Not measuredOnly Claude Opus 4.1 measured
PRBench Finance35.2%Not measuredOnly Claude Opus 4.1 measured
PRBench Legal34.0%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Claude Opus 4.1 and GPT-4o (2024-05-13)
BenchmarkClaude Opus 4.1GPT-4o (2024-05-13)Leader
Design Arena: websites1176Not measuredOnly Claude Opus 4.1 measured
Design Arena: UI components1162Not measuredOnly Claude Opus 4.1 measured
Design Arena: game dev1171Not measuredOnly Claude Opus 4.1 measured
Design Arena: data viz1166Not measuredOnly Claude Opus 4.1 measured
Design Arena: 3D1152Not measuredOnly Claude Opus 4.1 measured
Design Arena: all code categories1170Not measuredOnly Claude Opus 4.1 measured
Design Arena: SVG1151Not 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 index170
General benchmarks for Claude Opus 4.1 and GPT-4o (2024-05-13)
BenchmarkClaude Opus 4.1GPT-4o (2024-05-13)Leader
SAGE (Vals AI)31.4%Not measuredOnly Claude Opus 4.1 measured
MedScribe (Vals AI)73.9%Not measuredOnly Claude Opus 4.1 measured
DTBench80.0%Not measuredOnly Claude Opus 4.1 measured
LMCA37.1%Not measuredOnly Claude Opus 4.1 measured
Creative writing (Lech Mazur)84.7%Not measuredOnly Claude Opus 4.1 measured
LMArena Text14191300Claude Opus 4.1
LMArena Text: instruction following14351278Claude Opus 4.1
LMArena Text: creative writing14121291Claude Opus 4.1
LMArena VisionNot measured1137Only GPT-4o (2024-05-13) measured
LMArena Text: English14331312Claude Opus 4.1
LMArena Text: non-English14051283Claude Opus 4.1
LMArena Text: Chinese14271277Claude Opus 4.1
LMArena Text: German14131283Claude Opus 4.1
LMArena Text: Japanese13771257Claude Opus 4.1
LMArena Text: Korean13811234Claude Opus 4.1
LMArena Text: French14331304Claude Opus 4.1
LMArena Text: Spanish14481292Claude Opus 4.1
LMArena Text: Russian14221285Claude Opus 4.1
LMArena Text: Polish14131365Claude Opus 4.1
LMArena Text: multi-turn14441302Claude Opus 4.1
LMArena Text: longer queries14551288Claude Opus 4.1
LMArena Text: writing and language14181298Claude Opus 4.1
LMArena Text: entertainment and media13981289Claude Opus 4.1
LMArena Vision: EnglishNot measured1147Only GPT-4o (2024-05-13) measured
LMArena Vision: ChineseNot measured1132Only GPT-4o (2024-05-13) measured
MultiChallenge57.2%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 22 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-4o (2024-05-13)
BenchmarkClaude Opus 4.1GPT-4o (2024-05-13)Leader
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-4o (2024-05-13)$0.013Fits in one request

GPT-4o (2024-05-13) costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.1$0.975Fits in one request
GPT-4o (2024-05-13)$0.295Fits in one request

GPT-4o (2024-05-13) costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.1$3.75Exceeds the context window
GPT-4o (2024-05-13)$1.15Exceeds the context window

GPT-4o (2024-05-13) 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-4o (2024-05-13)
SpecificationAnthropic Claude Opus 4.1OpenAI GPT-4o (2024-05-13)
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedAugust 5, 2025May 13, 2024
Context window200K128K
Input $/Mtok$15.00$5.00
Output $/Mtok$75.00$15.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.1 better than GPT-4o (2024-05-13) for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Claude Opus 4.1 for a larger context window (200K against 128K tokens).

Which is cheaper, Claude Opus 4.1 or GPT-4o (2024-05-13)?

Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 per million output tokens; GPT-4o (2024-05-13) costs $5.00 and $15.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Claude Opus 4.1 or GPT-4o (2024-05-13)?

Claude Opus 4.1, with 200K tokens against 128K.

How many benchmarks is the Claude Opus 4.1 vs GPT-4o (2024-05-13) comparison based on?

33 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-4o (2024-05-13)'s on 0. Where only one model has a result, the page says so instead of naming a winner.

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