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Claude Opus 4.6 vs GPT-4o (2024-08-06)

Claude Opus 4.6 leads GPT-4o (2024-08-06) on the Artificial Analysis Intelligence Index, 31.9 to 7.7, and GPT-4o (2024-08-06) costs 2.5x less per output token ($10.00 vs $25.00 per million). Updated October 22, 2026; 51 benchmarks have a result for both.

Claude Opus 4.6Anthropic
Coding
57.2
Overall
66.0
Output $/M
$25.00
51
GPT-4o (2024-08-06)OpenAI
Coding
No data
Overall
26.3
Output $/M
$10.00
0
vs boards won of 51 shared

Claude Opus 4.6 or GPT-4o (2024-08-06): which to pick

Only Claude Opus 4.6 has a coding score, 57.2 on the Vibe Coding Index; GPT-4o (2024-08-06) has none, so the two cannot be ranked on coding.

Pick GPT-4o (2024-08-06) for output tokens 2.5x cheaper ($10.00 vs $25.00 per million).

Shared results
51
Claude Opus 4.6 only
68
GPT-4o (2024-08-06) only
7
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 4.6 57.2 from 4 benchmarks, GPT-4o (2024-08-06) not benchmarked.
Widest category
Agentic work, 63.2 points apart on average over 1 shared benchmark.
Widest single gap
OTIS Mock AIME: Claude Opus 4.6 94.4% against GPT-4o (2024-08-06) 6.4%, 88.1 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.6 $25.00 against GPT-4o (2024-08-06) $10.00 per million output tokens, 2.5x apart.
Context window
Claude Opus 4.6 takes 1M tokens, GPT-4o (2024-08-06) 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 4.6BarsGPT-4o (2024-08-06)Ties
Coding30
Intelligence10
Agentic work10
Reasoning90
Math50
Knowledge110
General210
All shared boards510
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for Claude Opus 4.6 and GPT-4o (2024-08-06)
BenchmarkClaude Opus 4.6GPT-4o (2024-08-06)Leader
Aider polyglotNot measured23.1%Only GPT-4o (2024-08-06) measured
SWE-bench Verified75.6%Not measuredOnly Claude Opus 4.6 measured
SWE-bench LiteNot measured21.7%Only GPT-4o (2024-08-06) measured
SWE-bench Multilingual72.0%Not measuredOnly Claude Opus 4.6 measured
LMArena WebDev1547Not measuredOnly Claude Opus 4.6 measured
LiveCodeBench (Vals AI)84.7%Not measuredOnly Claude Opus 4.6 measured
SWE-bench Verified (Vals AI)78.2%Not measuredOnly Claude Opus 4.6 measured
Vibe Code Bench (Vals AI)57.6%Not measuredOnly Claude Opus 4.6 measured
LiveCodeBench (Artificial Analysis run)Not measured31.7%Only GPT-4o (2024-08-06) measured
Terminal-Bench Hard (Artificial Analysis run)48.5%8.3%Claude Opus 4.6
Terminal-Bench79.8%Not measuredOnly Claude Opus 4.6 measured
FrontierCode26.6%Not measuredOnly Claude Opus 4.6 measured
GSO-Bench41.2%Not measuredOnly Claude Opus 4.6 measured
WeirdML78.0%Not measuredOnly Claude Opus 4.6 measured
Cybench93.0%Not measuredOnly Claude Opus 4.6 measured
LMArena Text: coding15341283Claude Opus 4.6
LMArena Text: software and IT15271278Claude Opus 4.6
LMArena WebDev: React1539Not measuredOnly Claude Opus 4.6 measured
LMArena WebDev: HTML1559Not measuredOnly Claude Opus 4.6 measured
LMArena WebDev: from an image1543Not measuredOnly Claude Opus 4.6 measured
SWE Atlas: Codebase QnA33.3%Not measuredOnly Claude Opus 4.6 measured
SWE Atlas: Refactoring35.6%Not measuredOnly Claude Opus 4.6 measured
SWE Atlas: Test Writing36.7%Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Opus 4.6 and GPT-4o (2024-08-06)
BenchmarkClaude Opus 4.6GPT-4o (2024-08-06)Leader
AA Intelligence Index31.97.7Claude Opus 4.6
Epoch Capabilities Index155.7Not measuredOnly Claude Opus 4.6 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Claude Opus 4.6 and GPT-4o (2024-08-06)
BenchmarkClaude Opus 4.6GPT-4o (2024-08-06)Leader
Design Arena: agents building web apps1206Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building full-stack apps1220Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building mobile apps1207Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building Android apps1197Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building games1213Not measuredOnly Claude Opus 4.6 measured
τ²-Bench Telecom92.1%28.9%Claude Opus 4.6
APEX-Agents46.3%Not measuredOnly Claude Opus 4.6 measured
METR time horizons78.9%Not measuredOnly Claude Opus 4.6 measured
Remote Labor Index4.2%Not measuredOnly Claude Opus 4.6 measured
DeepResearch Bench55.3%Not measuredOnly Claude Opus 4.6 measured
Vending-Bench 2$8,018Not measuredOnly Claude Opus 4.6 measured
MCP Atlas76.8%Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 30 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index90
Reasoning benchmarks for Claude Opus 4.6 and GPT-4o (2024-08-06)
BenchmarkClaude Opus 4.6GPT-4o (2024-08-06)Leader
GPQA Diamond89.7%Not measuredOnly Claude Opus 4.6 measured
MMMU Pro (Vals AI)83.9%64.0%Claude Opus 4.6
GPQA Diamond (Artificial Analysis run)89.6%52.1%Claude Opus 4.6
Humanity's Last Exam (Artificial Analysis run)39.9%2.3%Claude Opus 4.6
GPQA Diamond (Epoch AI run)90.5%49.2%Claude Opus 4.6
ARC-AGI94.0%Not measuredOnly Claude Opus 4.6 measured
ARC-AGI-269.2%Not measuredOnly Claude Opus 4.6 measured
SimpleBench67.6%17.8%Claude Opus 4.6
Chess puzzles21.0%6.0%Claude Opus 4.6
Mystery game puzzles25.0%Not measuredOnly Claude Opus 4.6 measured
EBR-bench12.7%Not measuredOnly Claude Opus 4.6 measured
LMArena Text: hard prompts15251264Claude Opus 4.6
LMArena Text: expert15441241Claude Opus 4.6
LMArena Text: hard prompts in English15301277Claude Opus 4.6
LMArena Vision: diagrams1340Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: homework1337Not measuredOnly Claude Opus 4.6 measured
Kagi LLM Benchmark83.6%Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index50
Math benchmarks for Claude Opus 4.6 and GPT-4o (2024-08-06)
BenchmarkClaude Opus 4.6GPT-4o (2024-08-06)Leader
AIME95.6%14.0%Claude Opus 4.6
MATH 500 (Vals AI)Not measured75.2%Only GPT-4o (2024-08-06) measured
MGSM (Vals AI)Not measured90.7%Only GPT-4o (2024-08-06) measured
OTIS Mock AIME94.4%6.4%Claude Opus 4.6
FrontierMath, tiers 1 to 366.0%0.4%Claude Opus 4.6
FrontierMath, tier 426.8%Not measuredOnly Claude Opus 4.6 measured
ProofBench50.0%Not measuredOnly Claude Opus 4.6 measured
MATH level 5Not measured53.3%Only GPT-4o (2024-08-06) measured
LMArena Text: math15181285Claude Opus 4.6
LMArena Text: mathematical work15251283Claude Opus 4.6
MathArena23.6%Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index110
Knowledge benchmarks for Claude Opus 4.6 and GPT-4o (2024-08-06)
BenchmarkClaude Opus 4.6GPT-4o (2024-08-06)Leader
MMLU Pro89.1%74.1%Claude Opus 4.6
LegalBench (Vals AI)85.3%80.1%Claude Opus 4.6
CaseLaw (Vals AI)62.1%Not measuredOnly Claude Opus 4.6 measured
CorpFin (Vals AI)67.0%39.4%Claude Opus 4.6
TaxEval (Vals AI)76.0%71.1%Claude Opus 4.6
MortgageTax (Vals AI)68.5%61.0%Claude Opus 4.6
MedQA (Vals AI)95.4%88.2%Claude Opus 4.6
MedCode (Vals AI)49.1%Not measuredOnly Claude Opus 4.6 measured
SimpleQA Verified47.0%26.0%Claude Opus 4.6
MMLUNot measured84.3%Only GPT-4o (2024-08-06) measured
LMArena Text: science15191274Claude Opus 4.6
LMArena Text: medicine and healthcare15041252Claude Opus 4.6
LMArena Text: legal and government15121275Claude Opus 4.6
LMArena Text: business and finance14971232Claude Opus 4.6
FACTS Benchmark Suite41.5%Not measuredOnly Claude Opus 4.6 measured
PRBench Finance53.3%Not measuredOnly Claude Opus 4.6 measured
PRBench Legal52.3%Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 3 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Claude Opus 4.6 and GPT-4o (2024-08-06)
BenchmarkClaude Opus 4.6GPT-4o (2024-08-06)Leader
Design Arena: websites1291Not measuredOnly Claude Opus 4.6 measured
Design Arena: UI components1282Not measuredOnly Claude Opus 4.6 measured
Design Arena: game dev1277Not measuredOnly Claude Opus 4.6 measured
Design Arena: data viz1280Not measuredOnly Claude Opus 4.6 measured
Design Arena: 3D1273Not measuredOnly Claude Opus 4.6 measured
Design Arena: all code categories1288Not measuredOnly Claude Opus 4.6 measured
Design Arena: SVG1227Not measuredOnly Claude Opus 4.6 measured
Design Arena: ASCII art1255Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index210
General benchmarks for Claude Opus 4.6 and GPT-4o (2024-08-06)
BenchmarkClaude Opus 4.6GPT-4o (2024-08-06)Leader
SAGE (Vals AI)51.6%Not measuredOnly Claude Opus 4.6 measured
MedScribe (Vals AI)86.7%Not measuredOnly Claude Opus 4.6 measured
IFBench53.1%36.0%Claude Opus 4.6
Long context reasoning (AA-LCR)78.0%41.0%Claude Opus 4.6
DTBench91.2%Not measuredOnly Claude Opus 4.6 measured
LMCA55.8%Not measuredOnly Claude Opus 4.6 measured
CL-bench20.7%Not measuredOnly Claude Opus 4.6 measured
Furniture assembly28.3%Not measuredOnly Claude Opus 4.6 measured
CL-bench Life17.0%Not measuredOnly Claude Opus 4.6 measured
LMArena Text15011283Claude Opus 4.6
LMArena Text: instruction following15211267Claude Opus 4.6
LMArena Text: creative writing15051274Claude Opus 4.6
LMArena Vision13161065Claude Opus 4.6
LMArena Text: English15111297Claude Opus 4.6
LMArena Text: non-English14881262Claude Opus 4.6
LMArena Text: Chinese15511254Claude Opus 4.6
LMArena Text: German15001257Claude Opus 4.6
LMArena Text: Japanese14881234Claude Opus 4.6
LMArena Text: Korean14641218Claude Opus 4.6
LMArena Text: French15121263Claude Opus 4.6
LMArena Text: Spanish15101269Claude Opus 4.6
LMArena Text: Russian14971272Claude Opus 4.6
LMArena Text: Polish1499Not measuredOnly Claude Opus 4.6 measured
LMArena Text: multi-turn15111279Claude Opus 4.6
LMArena Text: longer queries15181283Claude Opus 4.6
LMArena Text: writing and language15021290Claude Opus 4.6
LMArena Text: entertainment and media14921267Claude Opus 4.6
LMArena Vision: English13241072Claude Opus 4.6
LMArena Vision: Chinese13701009Claude Opus 4.6
LMArena Vision: reading text1326Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: humor1314Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: recognizing things1274Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: creative writing1331Not measuredOnly Claude Opus 4.6 measured
LMArena Document1507Not measuredOnly Claude Opus 4.6 measured
MultiChallenge56.0%Not measuredOnly Claude Opus 4.6 measured
EQ-Bench 41223Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.6 and GPT-4o (2024-08-06)
BenchmarkClaude Opus 4.6GPT-4o (2024-08-06)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 4.6$0.018Fits in one request
GPT-4o (2024-08-06)$0.0075Fits in one request

GPT-4o (2024-08-06) costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.6$0.325Fits in one request
GPT-4o (2024-08-06)$0.155Fits in one request

GPT-4o (2024-08-06) costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.6$1.25Fits in one request
GPT-4o (2024-08-06)$0.600Exceeds the context window

GPT-4o (2024-08-06) 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 4.6 and GPT-4o (2024-08-06)
SpecificationAnthropic Claude Opus 4.6OpenAI GPT-4o (2024-08-06)
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedFebruary 4, 2026August 6, 2024
Context window1M128K
Input $/Mtok$5.00$2.50
Output $/Mtok$25.00$10.00
Coding index57.2Not benchmarked
Independent measurements behind it40
Cost per solved task$1.56Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.6 better than GPT-4o (2024-08-06) for coding?

Only Claude Opus 4.6 has a coding score, 57.2 on the Vibe Coding Index; GPT-4o (2024-08-06) has none, so the two cannot be ranked on coding. Pick GPT-4o (2024-08-06) for output tokens 2.5x cheaper ($10.00 vs $25.00 per million).

Which is cheaper, Claude Opus 4.6 or GPT-4o (2024-08-06)?

Claude Opus 4.6 costs $5.00 per million input tokens and $25.00 per million output tokens; GPT-4o (2024-08-06) costs $2.50 and $10.00. Cost per solved task is known for Claude Opus 4.6 only.

Which has the bigger context window, Claude Opus 4.6 or GPT-4o (2024-08-06)?

Claude Opus 4.6, with 1M tokens against 128K.

How many benchmarks is the Claude Opus 4.6 vs GPT-4o (2024-08-06) comparison based on?

51 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.6's coding index rests on 4 independent benchmarks and GPT-4o (2024-08-06)'s on 0. Where only one model has a result, the page says so instead of naming a winner.

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