Claude Opus 4.7 vs GPT-4o (2024-08-06)

Claude Opus 4.7 leads GPT-4o (2024-08-06) on the Artificial Analysis Intelligence Index, 40.7 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; 50 benchmarks have a result for both.

Replace Claude Opus 4.7 Replace GPT-4o (2024-08-06)

Claude Opus 4.7Anthropic

Coding: 67.5
Overall: 71.6
Output $/M: $25.00

GPT-4o (2024-08-06)OpenAI

Coding: No data
Overall: 26.3
Output $/M: $10.00

vs boards won of 50 shared

Claude Opus 4.7 or GPT-4o (2024-08-06): which to pick

Only Claude Opus 4.7 has a coding score, 67.5 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).

Model AClaude Opus 4.7Anthropic67.5/1004 independent benchmarks$2.95 per solved task Model BGPT-4o (2024-08-06)OpenAINot benchmarkedNo coding benchmarkNo cost per solved task

50598

Shared results: 50
Claude Opus 4.7 only: 59
GPT-4o (2024-08-06) only: 8
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.

Coding
Vibe Coding Index, six public coding benchmarks
No call
Only Claude Opus 4.7 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Claude Opus 4.7
Claude Opus 4.7 leads, 40.7 against 7.7.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Claude Opus 4.7 has a AA Agentic Index result, 38.6.
Directional only
Reasoning
GPQA Diamond
No call
Only Claude Opus 4.7 has a GPQA Diamond result, 90.2%.
Directional only
Math
AIME
Claude Opus 4.7
Claude Opus 4.7 leads, 96.3% against 14.0%.
Same board, both measured
Knowledge
MMLU Pro
Claude Opus 4.7
Claude Opus 4.7 leads, 89.9% against 74.1%.
Same board, both measured
Long documents
Listed context window
Claude Opus 4.7
Claude Opus 4.7 takes 1M tokens against 128K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-4o (2024-08-06)
Claude Opus 4.7 $0.018, GPT-4o (2024-08-06) $0.0075 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Claude Opus 4.7 has the number, $2.95.
Directional only

At a glance

Coding index: Claude Opus 4.7 67.5 from 4 benchmarks, GPT-4o (2024-08-06) not benchmarked.
Widest category: Math, 63.3 points apart on average over 5 shared benchmarks.
Widest single gap: OTIS Mock AIME: Claude Opus 4.7 97.8% against GPT-4o (2024-08-06) 6.4%, 91.4 points apart on a 0 to 100 scale.
Output price: Claude Opus 4.7 $25.00 against GPT-4o (2024-08-06) $10.00 per million output tokens, 2.5x apart.
Context window: Claude Opus 4.7 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
Category	Claude Opus 4.7	Bars	GPT-4o (2024-08-06)	Ties
Coding	3		0
Intelligence	1		0
Agentic work	1		0
Reasoning	9		0
Math	5		0
Knowledge	10		0
General	21		0
All shared boards	50		0

CodingLike-for-likeSix of these boards feed the Vibe Coding Index30

Coding benchmarks for Claude Opus 4.7 and GPT-4o (2024-08-06)
Benchmark	Claude Opus 4.7	GPT-4o (2024-08-06)	Leader
Aider polyglot	Not measured	23.1%	Only GPT-4o (2024-08-06) measured
SWE-bench Lite	Not measured	21.7%	Only GPT-4o (2024-08-06) measured
LMArena WebDev	1558	Not measured	Only Claude Opus 4.7 measured
AA Coding Index	73.6	Not measured	Only Claude Opus 4.7 measured
LiveCodeBench (Vals AI)	85.1%	Not measured	Only Claude Opus 4.7 measured
SWE-bench Verified (Vals AI)	82.0%	Not measured	Only Claude Opus 4.7 measured
Vibe Code Bench (Vals AI)	71.0%	Not measured	Only Claude Opus 4.7 measured
Code migration (Vals AI)	43.9%	Not measured	Only Claude Opus 4.7 measured
ProgramBench (Vals AI)	0.0%	Not measured	Only Claude Opus 4.7 measured
Terminal-Bench 2.1 (Vals AI)	68.5%	Not measured	Only Claude Opus 4.7 measured
LiveCodeBench (Artificial Analysis run)	Not measured	31.7%	Only GPT-4o (2024-08-06) measured
Terminal-Bench Hard (Artificial Analysis run)	54.5%	8.3%	Claude Opus 4.7
Terminal-Bench	80.2%	Not measured	Only Claude Opus 4.7 measured
FrontierCode	38.5%	Not measured	Only Claude Opus 4.7 measured
GSO-Bench	44.1%	Not measured	Only Claude Opus 4.7 measured
WeirdML	76.4%	Not measured	Only Claude Opus 4.7 measured
MirrorCode	31.1%	Not measured	Only Claude Opus 4.7 measured
LMArena Text: coding	1519	1283	Claude Opus 4.7
LMArena Text: software and IT	1516	1278	Claude Opus 4.7
LMArena WebDev: React	1560	Not measured	Only Claude Opus 4.7 measured
LMArena WebDev: HTML	1554	Not measured	Only Claude Opus 4.7 measured
LMArena WebDev: from an image	1577	Not measured	Only Claude Opus 4.7 measured
SWE Atlas: Codebase QnA	40.3%	Not measured	Only Claude Opus 4.7 measured
SWE Atlas: Refactoring	48.6%	Not measured	Only Claude Opus 4.7 measured
SWE Atlas: Test Writing	38.5%	Not measured	Only Claude Opus 4.7 measured
Neither model has a result on the other 18 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10

Intelligence benchmarks for Claude Opus 4.7 and GPT-4o (2024-08-06)
Benchmark	Claude Opus 4.7	GPT-4o (2024-08-06)	Leader
AA Intelligence Index	40.7	7.7	Claude Opus 4.7
Epoch Capabilities Index	156.8	Not measured	Only Claude Opus 4.7 measured

Agentic workLike-for-likePublic boards, shown as published, kept out of the index10

Agentic work benchmarks for Claude Opus 4.7 and GPT-4o (2024-08-06)
Benchmark	Claude Opus 4.7	GPT-4o (2024-08-06)	Leader
AA Agentic Index	38.6	Not measured	Only Claude Opus 4.7 measured
Finance Agent (Vals AI)	51.5%	Not measured	Only Claude Opus 4.7 measured
Tax Agent Bench (Vals AI)	23.7%	Not measured	Only Claude Opus 4.7 measured
Legal Research Bench (Vals AI)	38.5%	Not measured	Only Claude Opus 4.7 measured
Excel Modeling Benchmark (Vals AI)	63.7%	Not measured	Only Claude Opus 4.7 measured
τ²-Bench Telecom	88.6%	28.9%	Claude Opus 4.7
APEX-Agents	49.2%	Not measured	Only Claude Opus 4.7 measured
OSWorld 2.0	18.2%	Not measured	Only Claude Opus 4.7 measured
PostTrainBench	28.6%	Not measured	Only Claude Opus 4.7 measured
Vending-Bench 2	$10,937	Not measured	Only Claude Opus 4.7 measured
LMArena Search	1230	Not measured	Only Claude Opus 4.7 measured
MCP Atlas	79.1%	Not measured	Only Claude Opus 4.7 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 4.7 and GPT-4o (2024-08-06)
Benchmark	Claude Opus 4.7	GPT-4o (2024-08-06)	Leader
GPQA Diamond	90.2%	Not measured	Only Claude Opus 4.7 measured
MMMU Pro (Vals AI)	85.5%	64.0%	Claude Opus 4.7
GPQA Diamond (Artificial Analysis run)	91.4%	52.1%	Claude Opus 4.7
Humanity's Last Exam (Artificial Analysis run)	42.3%	2.3%	Claude Opus 4.7
GPQA Diamond (Epoch AI run)	90.2%	49.2%	Claude Opus 4.7
ARC-AGI	93.5%	Not measured	Only Claude Opus 4.7 measured
ARC-AGI-2	75.8%	Not measured	Only Claude Opus 4.7 measured
SimpleBench	61.7%	17.8%	Claude Opus 4.7
Chess puzzles	41.0%	6.0%	Claude Opus 4.7
Mystery game puzzles	28.0%	Not measured	Only Claude Opus 4.7 measured
EBR-bench	19.0%	Not measured	Only Claude Opus 4.7 measured
LMArena Text: hard prompts	1506	1264	Claude Opus 4.7
LMArena Text: expert	1521	1241	Claude Opus 4.7
LMArena Text: hard prompts in English	1508	1277	Claude Opus 4.7
LMArena Vision: diagrams	1336	Not measured	Only Claude Opus 4.7 measured
LMArena Vision: homework	1337	Not measured	Only Claude Opus 4.7 measured
Kagi LLM Benchmark	80.7%	Not measured	Only Claude Opus 4.7 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 4.7 and GPT-4o (2024-08-06)
Benchmark	Claude Opus 4.7	GPT-4o (2024-08-06)	Leader
AIME	96.3%	14.0%	Claude Opus 4.7
MATH 500 (Vals AI)	Not measured	75.2%	Only GPT-4o (2024-08-06) measured
MGSM (Vals AI)	Not measured	90.7%	Only GPT-4o (2024-08-06) measured
OTIS Mock AIME	97.8%	6.4%	Claude Opus 4.7
FrontierMath, tiers 1 to 3	70.2%	0.4%	Claude Opus 4.7
FrontierMath, tier 4	31.7%	Not measured	Only Claude Opus 4.7 measured
ProofBench	54.0%	Not measured	Only Claude Opus 4.7 measured
MATH level 5	Not measured	53.3%	Only GPT-4o (2024-08-06) measured
LMArena Text: math	1498	1285	Claude Opus 4.7
LMArena Text: mathematical work	1509	1283	Claude Opus 4.7
MathArena	20.4%	Not measured	Only Claude Opus 4.7 measured
Neither model has a result on the other 3 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index100

Knowledge benchmarks for Claude Opus 4.7 and GPT-4o (2024-08-06)
Benchmark	Claude Opus 4.7	GPT-4o (2024-08-06)	Leader
MMLU Pro	89.9%	74.1%	Claude Opus 4.7
LegalBench (Vals AI)	85.3%	80.1%	Claude Opus 4.7
CaseLaw (Vals AI)	68.4%	Not measured	Only Claude Opus 4.7 measured
CorpFin (Vals AI)	66.1%	39.4%	Claude Opus 4.7
TaxEval (Vals AI)	75.3%	71.1%	Claude Opus 4.7
MortgageTax (Vals AI)	70.3%	61.0%	Claude Opus 4.7
MedQA (Vals AI)	Not measured	88.2%	Only GPT-4o (2024-08-06) measured
MedCode (Vals AI)	54.9%	Not measured	Only Claude Opus 4.7 measured
SimpleQA Verified	51.7%	26.0%	Claude Opus 4.7
MMLU	Not measured	84.3%	Only GPT-4o (2024-08-06) measured
LMArena Text: science	1508	1274	Claude Opus 4.7
LMArena Text: medicine and healthcare	1495	1252	Claude Opus 4.7
LMArena Text: legal and government	1504	1275	Claude Opus 4.7
LMArena Text: business and finance	1490	1232	Claude Opus 4.7
FACTS Benchmark Suite	45.5%	Not measured	Only Claude Opus 4.7 measured
Neither model has a result on the other 5 boards here

Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared

Web design benchmarks for Claude Opus 4.7 and GPT-4o (2024-08-06)
Benchmark	Claude Opus 4.7	GPT-4o (2024-08-06)	Leader
Neither model has a result on 9 boards here

GeneralLike-for-likePublic boards, shown as published, kept out of the index210

General benchmarks for Claude Opus 4.7 and GPT-4o (2024-08-06)
Benchmark	Claude Opus 4.7	GPT-4o (2024-08-06)	Leader
SAGE (Vals AI)	56.1%	Not measured	Only Claude Opus 4.7 measured
MedScribe (Vals AI)	83.0%	Not measured	Only Claude Opus 4.7 measured
Vals Multimodal Index	67.4%	Not measured	Only Claude Opus 4.7 measured
IFBench	58.6%	36.0%	Claude Opus 4.7
Long context reasoning (AA-LCR)	78.7%	41.0%	Claude Opus 4.7
DTBench	94.7%	Not measured	Only Claude Opus 4.7 measured
LMCA	52.2%	Not measured	Only Claude Opus 4.7 measured
Furniture assembly	33.3%	Not measured	Only Claude Opus 4.7 measured
ExploitBench	26.5%	Not measured	Only Claude Opus 4.7 measured
LMArena Text	1490	1283	Claude Opus 4.7
LMArena Text: instruction following	1498	1267	Claude Opus 4.7
LMArena Text: creative writing	1486	1274	Claude Opus 4.7
LMArena Vision	1317	1065	Claude Opus 4.7
LMArena Text: English	1496	1297	Claude Opus 4.7
LMArena Text: non-English	1480	1262	Claude Opus 4.7
LMArena Text: Chinese	1531	1254	Claude Opus 4.7
LMArena Text: German	1495	1257	Claude Opus 4.7
LMArena Text: Japanese	1474	1234	Claude Opus 4.7
LMArena Text: Korean	1464	1218	Claude Opus 4.7
LMArena Text: French	1503	1263	Claude Opus 4.7
LMArena Text: Spanish	1494	1269	Claude Opus 4.7
LMArena Text: Russian	1494	1272	Claude Opus 4.7
LMArena Text: Polish	1489	Not measured	Only Claude Opus 4.7 measured
LMArena Text: multi-turn	1505	1279	Claude Opus 4.7
LMArena Text: longer queries	1505	1283	Claude Opus 4.7
LMArena Text: writing and language	1492	1290	Claude Opus 4.7
LMArena Text: entertainment and media	1474	1267	Claude Opus 4.7
LMArena Vision: English	1322	1072	Claude Opus 4.7
LMArena Vision: Chinese	1371	1009	Claude Opus 4.7
LMArena Vision: reading text	1327	Not measured	Only Claude Opus 4.7 measured
LMArena Vision: humor	1309	Not measured	Only Claude Opus 4.7 measured
LMArena Vision: recognizing things	1278	Not measured	Only Claude Opus 4.7 measured
LMArena Vision: creative writing	1326	Not measured	Only Claude Opus 4.7 measured
LMArena Document	1495	Not measured	Only Claude Opus 4.7 measured
EQ-Bench 4	1311	Not measured	Only Claude Opus 4.7 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 4.7 and GPT-4o (2024-08-06)
Benchmark	Claude Opus 4.7	GPT-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 4.7$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 4.7$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 4.7$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 4.7 and GPT-4o (2024-08-06)
Specification	Anthropic Claude Opus 4.7	OpenAI GPT-4o (2024-08-06)
Maker	Anthropic	OpenAI
Weights	No public weights listed	No public weights listed
Released	April 16, 2026	August 6, 2024
Context window	1M	128K
Input $/Mtok	$5.00	$2.50
Output $/Mtok	$25.00	$10.00
Coding index	67.5	Not benchmarked
Independent measurements behind it	4	0
Cost per solved task	$2.95	Not computable
Source	OpenRouter listing	OpenRouter listing

Questions

Is Claude Opus 4.7 better than GPT-4o (2024-08-06) for coding?

Only Claude Opus 4.7 has a coding score, 67.5 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 4.7 or GPT-4o (2024-08-06)?

Claude Opus 4.7 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 4.7 only.

Which has the bigger context window, Claude Opus 4.7 or GPT-4o (2024-08-06)?

Claude Opus 4.7, with 1M tokens against 128K.

How many benchmarks is the Claude Opus 4.7 vs GPT-4o (2024-08-06) comparison based on?

50 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.7'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.

Claude Opus 4.7 or GPT-4o (2024-08-06): which to pick

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

Math

Knowledge

Long documents

Everyday cost

Cost per solved task

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

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