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Claude Opus 4.1 vs GPT-4o (2024-11-20)

Claude Opus 4.1 leads GPT-4o (2024-11-20) on the Artificial Analysis Intelligence Index, 22.8 to 8.4, and GPT-4o (2024-11-20) costs 7.5x less per output token ($10.00 vs $75.00 per million). Updated October 22, 2026; 17 benchmarks have a result for both.

Claude Opus 4.1Anthropic
Coding
No data
Overall
50.2
Output $/M
$75.00
15
GPT-4o (2024-11-20)OpenAI
Coding
No data
Overall
No data
Output $/M
$10.00
2
vs boards won of 17 shared

Claude Opus 4.1 or GPT-4o (2024-11-20): 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) and work measured by VPCT or TaxEval (Vals AI), where it leads.

Shared results
17
Claude Opus 4.1 only
59
GPT-4o (2024-11-20) only
7
Like-for-like categories
6 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 (2024-11-20) not benchmarked.
Widest category
Math, 38.6 points apart on average over 4 shared benchmarks.
Widest single gap
AIME: Claude Opus 4.1 78.2% against GPT-4o (2024-11-20) 11.9%, 66.3 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.1 $75.00 against GPT-4o (2024-11-20) $10.00 per million output tokens, 7.5x apart.
Context window
Claude Opus 4.1 takes 200K tokens, GPT-4o (2024-11-20) 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 (2024-11-20)Ties
Coding30
Intelligence10
Reasoning31
Math40
Knowledge31
General10
All shared boards152
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for Claude Opus 4.1 and GPT-4o (2024-11-20)
BenchmarkClaude Opus 4.1GPT-4o (2024-11-20)Leader
Aider polyglotNot measured18.2%Only GPT-4o (2024-11-20) measured
LMArena WebDev1390Not measuredOnly Claude Opus 4.1 measured
LiveCodeBench (Vals AI)66.5%43.4%Claude Opus 4.1
Terminal-Bench38.0%Not measuredOnly Claude Opus 4.1 measured
GSO-BenchNot measured0.0%Only GPT-4o (2024-11-20) measured
WeirdML45.9%25.1%Claude Opus 4.1
Cybench42.0%12.5%Claude Opus 4.1
LMArena Text: coding1479Not measuredOnly Claude Opus 4.1 measured
LMArena Text: software and IT1456Not measuredOnly Claude Opus 4.1 measured
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 (2024-11-20)
BenchmarkClaude Opus 4.1GPT-4o (2024-11-20)Leader
AA Intelligence Index22.88.4Claude Opus 4.1
Epoch Capabilities Index144.1Not measuredOnly Claude Opus 4.1 measured
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-4o (2024-11-20)
BenchmarkClaude Opus 4.1GPT-4o (2024-11-20)Leader
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
TheAgentCompanyNot measured8.6%Only GPT-4o (2024-11-20) measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index31
Reasoning benchmarks for Claude Opus 4.1 and GPT-4o (2024-11-20)
BenchmarkClaude Opus 4.1GPT-4o (2024-11-20)Leader
GPQA Diamond76.3%53.8%Claude Opus 4.1
MMMU Pro (Vals AI)77.5%62.2%Claude Opus 4.1
GPQA Diamond (Epoch AI run)77.3%47.9%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%40.0%GPT-4o (2024-11-20)
LMArena Text: hard prompts1442Not measuredOnly Claude Opus 4.1 measured
LMArena Text: expert1438Not measuredOnly Claude Opus 4.1 measured
LMArena Text: hard prompts in English1451Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for Claude Opus 4.1 and GPT-4o (2024-11-20)
BenchmarkClaude Opus 4.1GPT-4o (2024-11-20)Leader
AIME78.2%11.9%Claude Opus 4.1
MATH 500 (Vals AI)95.4%74.0%Claude Opus 4.1
MGSM (Vals AI)94.4%90.4%Claude Opus 4.1
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 measured49.8%Only GPT-4o (2024-11-20) measured
LMArena Text: math1431Not measuredOnly Claude Opus 4.1 measured
LMArena Text: mathematical work1434Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index31
Knowledge benchmarks for Claude Opus 4.1 and GPT-4o (2024-11-20)
BenchmarkClaude Opus 4.1GPT-4o (2024-11-20)Leader
MMLU Pro87.9%72.6%Claude Opus 4.1
LegalBench (Vals AI)83.5%82.2%Claude Opus 4.1
CaseLaw (Vals AI)Not measured59.7%Only GPT-4o (2024-11-20) measured
CorpFin (Vals AI)Not measured45.9%Only GPT-4o (2024-11-20) measured
TaxEval (Vals AI)73.7%74.5%GPT-4o (2024-11-20)
MortgageTax (Vals AI)61.1%57.4%Claude Opus 4.1
MedQA (Vals AI)93.6%Not measuredOnly Claude Opus 4.1 measured
MedCode (Vals AI)47.2%Not measuredOnly Claude Opus 4.1 measured
GeoBenchNot measured71.0%Only GPT-4o (2024-11-20) measured
LMArena Text: science1422Not measuredOnly Claude Opus 4.1 measured
LMArena Text: medicine and healthcare1416Not measuredOnly Claude Opus 4.1 measured
LMArena Text: legal and government1421Not measuredOnly Claude Opus 4.1 measured
LMArena Text: business and finance1406Not measuredOnly Claude Opus 4.1 measured
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 4 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 (2024-11-20)
BenchmarkClaude Opus 4.1GPT-4o (2024-11-20)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 index10
General benchmarks for Claude Opus 4.1 and GPT-4o (2024-11-20)
BenchmarkClaude Opus 4.1GPT-4o (2024-11-20)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%81.8%Claude Opus 4.1
LMArena Text1419Not measuredOnly Claude Opus 4.1 measured
LMArena Text: instruction following1435Not measuredOnly Claude Opus 4.1 measured
LMArena Text: creative writing1412Not measuredOnly Claude Opus 4.1 measured
LMArena Text: English1433Not measuredOnly Claude Opus 4.1 measured
LMArena Text: non-English1405Not measuredOnly Claude Opus 4.1 measured
LMArena Text: Chinese1427Not measuredOnly Claude Opus 4.1 measured
LMArena Text: German1413Not measuredOnly Claude Opus 4.1 measured
LMArena Text: Japanese1377Not measuredOnly Claude Opus 4.1 measured
LMArena Text: Korean1381Not measuredOnly Claude Opus 4.1 measured
LMArena Text: French1433Not measuredOnly Claude Opus 4.1 measured
LMArena Text: Spanish1448Not measuredOnly Claude Opus 4.1 measured
LMArena Text: Russian1422Not measuredOnly Claude Opus 4.1 measured
LMArena Text: Polish1413Not measuredOnly Claude Opus 4.1 measured
LMArena Text: multi-turn1444Not measuredOnly Claude Opus 4.1 measured
LMArena Text: longer queries1455Not measuredOnly Claude Opus 4.1 measured
LMArena Text: writing and language1418Not measuredOnly Claude Opus 4.1 measured
LMArena Text: entertainment and media1398Not measuredOnly Claude Opus 4.1 measured
MultiChallenge57.2%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 25 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 (2024-11-20)
BenchmarkClaude Opus 4.1GPT-4o (2024-11-20)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 (2024-11-20)$0.0075Fits in one request

GPT-4o (2024-11-20) costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.1$0.975Fits in one request
GPT-4o (2024-11-20)$0.155Fits in one request

GPT-4o (2024-11-20) costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.1$3.75Exceeds the context window
GPT-4o (2024-11-20)$0.600Exceeds the context window

GPT-4o (2024-11-20) 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 (2024-11-20)
SpecificationAnthropic Claude Opus 4.1OpenAI GPT-4o (2024-11-20)
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedAugust 5, 2025November 20, 2024
Context window200K128K
Input $/Mtok$15.00$2.50
Output $/Mtok$75.00$10.00
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 (2024-11-20) 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) and work measured by VPCT or TaxEval (Vals AI), where it leads.

Which is cheaper, Claude Opus 4.1 or GPT-4o (2024-11-20)?

Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 per million output tokens; GPT-4o (2024-11-20) costs $2.50 and $10.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Claude Opus 4.1 or GPT-4o (2024-11-20)?

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

How many benchmarks is the Claude Opus 4.1 vs GPT-4o (2024-11-20) comparison based on?

17 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 (2024-11-20)'s on 0. Where only one model has a result, the page says so instead of naming a winner.

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