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Claude Opus 4.5 vs GPT-4o (2024-08-06)

Updated October 21, 2026. 50 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Claude Opus 4.5 Replace GPT-4o (2024-08-06)
Claude Opus 4.5Anthropic
Coding
66.8
Overall
29.1
Output $/M
$25.00
50
GPT-4o (2024-08-06)OpenAI
Coding
23.1
Overall
7.7
Output $/M
$10.00
0
vs boards won of 50 shared

Decision reading

Pick Claude Opus 4.5 for coding: it scores 66.8 on the Vibe Coding Index against 23.1 for GPT-4o (2024-08-06).

Pick GPT-4o (2024-08-06) when output tokens cost 2.5x less.

Model AClaude Opus 4.5Anthropic66.8/1002 independent benchmarks$1.37 per solved taskModel BGPT-4o (2024-08-06)OpenAI23.1/1001 independent benchmarkNo cost per solved task
Shared results
50
Claude Opus 4.5 only
55
GPT-4o (2024-08-06) only
8
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 4.5 66.8 from 2 benchmarks, GPT-4o (2024-08-06) 23.1 from 1 benchmark.
Widest category
Agentic work, 60.5 points apart on average over 1 shared benchmark.
Widest single gap
AIME: Claude Opus 4.5 95.4% against GPT-4o (2024-08-06) 14.0%, 81.5 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.5 $25.00 against GPT-4o (2024-08-06) $10.00 per million output tokens, 2.5x apart.
Context window
Claude Opus 4.5 takes 200K 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 4.5BarsGPT-4o (2024-08-06)Ties
Coding40
Intelligence10
Agentic work10
Reasoning90
Math60
Knowledge110
General180
All shared boards500
CodingLike-for-likeFour of these boards feed the Vibe Coding Index40
Coding benchmarks for Claude Opus 4.5 and GPT-4o (2024-08-06)
BenchmarkClaude Opus 4.5GPT-4o (2024-08-06)Leader
Aider polyglotNot measured23.1%Only GPT-4o (2024-08-06) measured
SWE-bench Verified79.2%Not measuredOnly Claude Opus 4.5 measured
SWE-bench LiteNot measured21.7%Only GPT-4o (2024-08-06) measured
SWE-bench (full test set)52.6%Not measuredOnly Claude Opus 4.5 measured
SWE-bench Multilingual70.7%Not measuredOnly Claude Opus 4.5 measured
LMArena WebDev1494Not measuredOnly Claude Opus 4.5 measured
LiveCodeBench (Vals AI)83.7%Not measuredOnly Claude Opus 4.5 measured
SWE-bench Verified (Vals AI)76.4%Not measuredOnly Claude Opus 4.5 measured
Vibe Code Bench (Vals AI)20.6%Not measuredOnly Claude Opus 4.5 measured
LiveCodeBench (Artificial Analysis run)87.1%31.7%Claude Opus 4.5
Terminal-Bench Hard (Artificial Analysis run)47.0%8.3%Claude Opus 4.5
Terminal-Bench63.1%Not measuredOnly Claude Opus 4.5 measured
GSO-Bench26.5%Not measuredOnly Claude Opus 4.5 measured
WeirdML63.7%Not measuredOnly Claude Opus 4.5 measured
Cybench82.0%Not measuredOnly Claude Opus 4.5 measured
LMArena Text: coding15031283Claude Opus 4.5
LMArena Text: software and IT14831278Claude Opus 4.5
LMArena WebDev: React1478Not measuredOnly Claude Opus 4.5 measured
LMArena WebDev: HTML1510Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Opus 4.5 and GPT-4o (2024-08-06)
BenchmarkClaude Opus 4.5GPT-4o (2024-08-06)Leader
AA Intelligence Index29.17.7Claude Opus 4.5
Epoch Capabilities Index150.1Not measuredOnly Claude Opus 4.5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Claude Opus 4.5 and GPT-4o (2024-08-06)
BenchmarkClaude Opus 4.5GPT-4o (2024-08-06)Leader
Design Arena: agents building web apps1159Not measuredOnly Claude Opus 4.5 measured
Design Arena: agents building full-stack apps1156Not measuredOnly Claude Opus 4.5 measured
Design Arena: agents building mobile apps1189Not measuredOnly Claude Opus 4.5 measured
Design Arena: agents building Android apps1181Not measuredOnly Claude Opus 4.5 measured
τ²-Bench Telecom89.5%28.9%Claude Opus 4.5
METR time horizons75.0%Not measuredOnly Claude Opus 4.5 measured
Remote Labor Index3.8%Not measuredOnly Claude Opus 4.5 measured
GDPval45.5%Not measuredOnly Claude Opus 4.5 measured
BALROG43.5%Not measuredOnly Claude Opus 4.5 measured
DeepResearch Bench54.8%Not measuredOnly Claude Opus 4.5 measured
OSWorld66.3%Not measuredOnly Claude Opus 4.5 measured
Vending-Bench 2$4,967Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 27 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index90
Reasoning benchmarks for Claude Opus 4.5 and GPT-4o (2024-08-06)
BenchmarkClaude Opus 4.5GPT-4o (2024-08-06)Leader
GPQA Diamond85.9%Not measuredOnly Claude Opus 4.5 measured
MMMU Pro (Vals AI)83.0%64.0%Claude Opus 4.5
GPQA Diamond (Artificial Analysis run)86.6%52.1%Claude Opus 4.5
Humanity's Last Exam (Artificial Analysis run)30.1%2.3%Claude Opus 4.5
GPQA Diamond (Epoch AI run)86.0%49.2%Claude Opus 4.5
ARC-AGI80.0%Not measuredOnly Claude Opus 4.5 measured
ARC-AGI-237.6%Not measuredOnly Claude Opus 4.5 measured
SimpleBench62.0%17.8%Claude Opus 4.5
Chess puzzles14.0%6.0%Claude Opus 4.5
Mystery game puzzles22.0%Not measuredOnly Claude Opus 4.5 measured
EBR-bench14.3%Not measuredOnly Claude Opus 4.5 measured
VPCT40.0%Not measuredOnly Claude Opus 4.5 measured
LMArena Text: hard prompts14761264Claude Opus 4.5
LMArena Text: expert14871241Claude Opus 4.5
LMArena Text: hard prompts in English14821277Claude Opus 4.5
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index60
Math benchmarks for Claude Opus 4.5 and GPT-4o (2024-08-06)
BenchmarkClaude Opus 4.5GPT-4o (2024-08-06)Leader
AIME95.4%14.0%Claude Opus 4.5
MATH 500 (Vals AI)Not measured75.2%Only GPT-4o (2024-08-06) measured
MGSM (Vals AI)95.2%90.7%Claude Opus 4.5
AA Math Index91.3Not measuredOnly Claude Opus 4.5 measured
AIME 2025 (Artificial Analysis run)91.3%Not measuredOnly Claude Opus 4.5 measured
OTIS Mock AIME86.1%6.4%Claude Opus 4.5
FrontierMath, tiers 1 to 334.4%0.4%Claude Opus 4.5
FrontierMath, tier 44.9%Not measuredOnly Claude Opus 4.5 measured
ProofBench36.0%Not measuredOnly Claude Opus 4.5 measured
MATH level 5Not measured53.3%Only GPT-4o (2024-08-06) measured
LMArena Text: math14631285Claude Opus 4.5
LMArena Text: mathematical work14681283Claude Opus 4.5
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index110
Knowledge benchmarks for Claude Opus 4.5 and GPT-4o (2024-08-06)
BenchmarkClaude Opus 4.5GPT-4o (2024-08-06)Leader
MMLU Pro87.3%74.1%Claude Opus 4.5
LegalBench (Vals AI)84.6%80.1%Claude Opus 4.5
CaseLaw (Vals AI)62.6%Not measuredOnly Claude Opus 4.5 measured
CorpFin (Vals AI)65.1%39.4%Claude Opus 4.5
TaxEval (Vals AI)74.9%71.1%Claude Opus 4.5
MortgageTax (Vals AI)68.7%61.0%Claude Opus 4.5
MedQA (Vals AI)95.9%88.2%Claude Opus 4.5
MedCode (Vals AI)49.2%Not measuredOnly Claude Opus 4.5 measured
MMLU Pro (Artificial Analysis run)89.5%Not measuredOnly Claude Opus 4.5 measured
SimpleQA Verified45.7%26.0%Claude Opus 4.5
MMLUNot measured84.3%Only GPT-4o (2024-08-06) measured
GeoBench75.0%Not measuredOnly Claude Opus 4.5 measured
LMArena Text: science14541274Claude Opus 4.5
LMArena Text: medicine and healthcare14441252Claude Opus 4.5
LMArena Text: legal and government14591275Claude Opus 4.5
LMArena Text: business and finance14481232Claude Opus 4.5
Neither model has a result on the other 1 board here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Claude Opus 4.5 and GPT-4o (2024-08-06)
BenchmarkClaude Opus 4.5GPT-4o (2024-08-06)Leader
Design Arena: websites1247Not measuredOnly Claude Opus 4.5 measured
Design Arena: UI components1238Not measuredOnly Claude Opus 4.5 measured
Design Arena: game dev1229Not measuredOnly Claude Opus 4.5 measured
Design Arena: data viz1243Not measuredOnly Claude Opus 4.5 measured
Design Arena: 3D1214Not measuredOnly Claude Opus 4.5 measured
Design Arena: all code categories1242Not measuredOnly Claude Opus 4.5 measured
Design Arena: SVG1180Not measuredOnly Claude Opus 4.5 measured
Design Arena: ASCII art1190Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index180
General benchmarks for Claude Opus 4.5 and GPT-4o (2024-08-06)
BenchmarkClaude Opus 4.5GPT-4o (2024-08-06)Leader
SAGE (Vals AI)52.1%Not measuredOnly Claude Opus 4.5 measured
MedScribe (Vals AI)85.3%Not measuredOnly Claude Opus 4.5 measured
IFBench58.0%36.0%Claude Opus 4.5
Long context reasoning (AA-LCR)77.3%41.0%Claude Opus 4.5
DTBench89.9%Not measuredOnly Claude Opus 4.5 measured
LMCA44.5%Not measuredOnly Claude Opus 4.5 measured
CL-bench21.1%Not measuredOnly Claude Opus 4.5 measured
Furniture assembly28.3%Not measuredOnly Claude Opus 4.5 measured
LMArena Text14511283Claude Opus 4.5
LMArena Text: instruction following14781267Claude Opus 4.5
LMArena Text: creative writing14451274Claude Opus 4.5
LMArena VisionNot measured1065Only GPT-4o (2024-08-06) measured
LMArena Text: English14611297Claude Opus 4.5
LMArena Text: non-English14381262Claude Opus 4.5
LMArena Text: Chinese14701254Claude Opus 4.5
LMArena Text: German14491257Claude Opus 4.5
LMArena Text: Japanese14171234Claude Opus 4.5
LMArena Text: Korean14241218Claude Opus 4.5
LMArena Text: French14711263Claude Opus 4.5
LMArena Text: Spanish14571269Claude Opus 4.5
LMArena Text: Russian14471272Claude Opus 4.5
LMArena Text: Polish1439Not measuredOnly Claude Opus 4.5 measured
LMArena Text: multi-turn14661279Claude Opus 4.5
LMArena Text: longer queries14791283Claude Opus 4.5
LMArena Text: writing and language14521290Claude Opus 4.5
LMArena Text: entertainment and media14341267Claude Opus 4.5
LMArena Vision: EnglishNot measured1072Only GPT-4o (2024-08-06) measured
LMArena Vision: ChineseNot measured1009Only GPT-4o (2024-08-06) measured
LMArena Document1462Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 17 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.5 and GPT-4o (2024-08-06)
BenchmarkClaude Opus 4.5GPT-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 4.5$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 4.5$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 4.5$1.25Exceeds the context window
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 4.5 and GPT-4o (2024-08-06)
SpecificationAnthropic Claude Opus 4.5OpenAI GPT-4o (2024-08-06)
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedNovember 24, 2025August 6, 2024
Context window200K128K
Input $/Mtok$5.00$2.50
Output $/Mtok$25.00$10.00
Coding index66.823.1
Independent measurements behind it21
Cost per solved task$1.37Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.5 better than GPT-4o (2024-08-06) for coding?

Pick Claude Opus 4.5 for coding: it scores 66.8 on the Vibe Coding Index against 23.1 for GPT-4o (2024-08-06). Pick GPT-4o (2024-08-06) when output tokens cost 2.5x less.

Which is cheaper, Claude Opus 4.5 or GPT-4o (2024-08-06)?

Claude Opus 4.5 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 4.5 only.

Which has the bigger context window, Claude Opus 4.5 or GPT-4o (2024-08-06)?

Claude Opus 4.5, with 200K tokens against 128K.

How many benchmarks is the Claude Opus 4.5 vs GPT-4o (2024-08-06) comparison based on?

50 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.5's coding index rests on 2 independent benchmarks and GPT-4o (2024-08-06)'s on 1. Where only one model has a result, the page says so instead of naming a winner.

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