Model comparison

Claude Opus 4.6 vs GPT-4o

Claude Opus 4.6 is the stronger model overall, scoring 58.2 to 28.6 on the Noometry Index. GPT-4o costs 2.3× less per token, which makes it the better buy when Claude Opus 4.6's lead doesn't matter for your workload.

Last verified October 11, 2026. 41 shared benchmarks.

Claude Opus 4.6 Anthropic

58.2

Rank #20 Confirmed

GPT-4o OpenAI

28.6

Rank #324 Confirmed

Summary

They share 41 benchmarks with published results for both. Claude Opus 4.6 scores higher in 10 categories and GPT-4o in 0 categories; 10 gaps are clear of the uncertainty.
The widest gap is in math, where Claude Opus 4.6 leads 63.0 to 10.6.
The biggest single-benchmark swing is ARC-AGI-1: 94% for Claude Opus 4.6 and 4.5% for GPT-4o.
GPT-4o is cheaper at $2.50 / $10 per million input/output tokens, against $5 / $25 for Claude Opus 4.6.
Claude Opus 4.6 accepts more context: 1M tokens versus 128K.

Side by side

Claude Opus 4.6 and GPT-4o specifications
	Claude Opus 4.6	GPT-4o
Provider	Anthropic	OpenAI
Noometry Index	58.2	28.6
Released	2026-02-04	2024-05-13
Weights	Proprietary	Proprietary
Context window	1M	128K
Max output	128K	16K
Input $ / M tokens	$5	$2.50
Output $ / M tokens	$25	$10
Results tracked	68	72

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Category by category

Coding Claude Opus 4.6 leads

Claude Opus 4.6: 57.2 (#20), GPT-4o: 24.8 (#328)

Coding benchmarks
Benchmark	Claude Opus 4.6	GPT-4o
SWE-bench Verified	78.7%	31%
SWE-bench Verified (bash only)	75.6%	21.6%
GSO	41.2%	0%
WeirdML	78%	25.1%
LMArena Coding	1536	1297
FrontierCode	26.6%	—
Aider Polyglot	—	45.3%
LMArena WebDev	1547	—
SWE-bench Multilingual	72%	—
BigCodeBench Instruct	—	51.1%
LiveBench Coding	—	51.4%
BigCodeBench Complete	—	61.1%
CadEval	—	26%
ALE-Bench	996.5	—
AlgoTune	1.47	—
HumanEval+	—	87.2%
MBPP+	—	72.2%

Agentic & Tool Use Claude Opus 4.6 leads

Claude Opus 4.6: 51.1 (#4), GPT-4o: 21.0 (#141)

Agentic & Tool Use benchmarks
Benchmark	Claude Opus 4.6	GPT-4o
Cybench	93%	12.5%
LMArena Search	1253	1006
METR Time Horizons	78.9%	40.8%
Terminal-Bench	79.8%	—
APEX-Agents	46.3%	—
GDPval	—	9.9%
Remote Labor Index	4.2%	—
TheAgentCompany	—	8.6%
τ²-bench Banking	27.3%	—
DeepResearch Bench	55.3%	—
BALROG	—	32.3%
GBAEval	44.1%	—
Vending-Bench 2	8,018	—

Reasoning Claude Opus 4.6 leads

Claude Opus 4.6: 57.8 (#23), GPT-4o: 9.4 (#343)

Reasoning benchmarks
Benchmark	Claude Opus 4.6	GPT-4o
ARC-AGI-2	69.2%	0%
SimpleBench	67.6%	17.8%
ARC-AGI-1	94%	4.5%
Chess Puzzles	17%	13%
EnigmaEval	7.6%	0.8%
LMArena Hard Prompts	1527	1281
DTBench	91.2%	64.5%
LMCA	55.8%	16.6%
Epoch Capabilities Index	155.24	128.97
ForecastBench	60	57.7
Kagi LLM Benchmark	83.6%	—
NYT Connections (extended)	92.1%	—
CritPt	—	0%
Thematic Generalization	80.6%	—
EBR-Bench	12.7%	—
LiveBench Reasoning	—	55.8%
Mystery Game Puzzles	25%	—
LiveBench Data Analysis	—	60.9%
LiveBench	—	55.3%

Math Claude Opus 4.6 leads

Claude Opus 4.6: 63.0 (#31), GPT-4o: 10.6 (#312)

Math benchmarks
Benchmark	Claude Opus 4.6	GPT-4o
FrontierMath (Tiers 1-3)	66%	0.4%
OTIS Mock AIME 2024-2025	94.4%	6.4%
LMArena Math	1519	1285
FrontierMath (Feb 2025 set)	40.7%	0.3%
FrontierMath Tier 4	26.8%	—
MathArena Final-Answer Competitions	78.5%	—
ProofBench	50%	—
Omni-MATH	—	29.3%
LiveBench Math	—	49.5%
MATH Level 5	—	53.3%
FrontierMath Tier 4 (v1)	22.9%	—

Knowledge Claude Opus 4.6 leads

Claude Opus 4.6: 61.9 (#26), GPT-4o: 28.8 (#242)

Knowledge benchmarks
Benchmark	Claude Opus 4.6	GPT-4o
GPQA Diamond	90.5%	49.2%
Humanity's Last Exam	34.4%	2.7%
SimpleQA Verified	47%	26%
Vectara Hallucination Rate	12.2%	9.6%
LMArena Expert	1546	1250
MMLU-Pro	—	71.3%
Confabulations	—	15.3%
GPQA (HELM)	—	52%
MMLU	—	88.1%

Multimodal Claude Opus 4.6 leads

Claude Opus 4.6: 37.3 (#74), GPT-4o: 34.5 (#91)

Multimodal benchmarks
Benchmark	Claude Opus 4.6	GPT-4o
LMArena Vision	1316	1137
Video-MME	—	71.9%
GeoBench	—	71%
VPCT	—	40%
Furniture Assembly	28.3%	—
LMArena Document	1507	—
ScienceQA	—	88.5%

Multilingual Claude Opus 4.6 leads

Claude Opus 4.6: 57.9 (#6), GPT-4o: 43.2 (#186)

Multilingual benchmarks
Benchmark	Claude Opus 4.6	GPT-4o
LMArena Non-English	1489	1283
LMArena Chinese	1551	1277
LMArena French	1513	1304
LMArena German	1502	1282
LMArena Japanese	1484	1257
LMArena Korean	1464	1234
LMArena Russian	1497	1286
LMArena Spanish	1510	1292

Instruction Following Claude Opus 4.6 leads

Claude Opus 4.6: 79.5 (#4), GPT-4o: 66.6 (#207)

Instruction Following benchmarks
Benchmark	Claude Opus 4.6	GPT-4o
LMArena Instruction Following	1523	1278
LiveBench Instruction Following	—	68.6%
IFEval	—	81.7%

Long Context Claude Opus 4.6 leads

Claude Opus 4.6: 48.1 (#13), GPT-4o: 39.4 (#179)

Long Context benchmarks
Benchmark	Claude Opus 4.6	GPT-4o
LMArena Longer Query	1520	1289
Fiction.LiveBench	—	66.7%
CL-bench	20.7%	—
CL-bench Life	17%	—

Writing & Preference Claude Opus 4.6 leads

Claude Opus 4.6: 73.5 (#10), GPT-4o: 52.6 (#166)

Writing & Preference benchmarks
Benchmark	Claude Opus 4.6	GPT-4o
LMArena Text	1503	1300
LMArena Creative Writing	1505	1292
LMArena Multi-Turn	1513	1302
Short-Story Creative Writing	—	81.8%
EQ-Bench Creative Writing	1809	—
WildBench	—	82.8%
EQ-Bench 4	1223	—
LiveBench Language	—	47.6%

Frequently asked questions

Is Claude Opus 4.6 better than GPT-4o?

Which is cheaper, Claude Opus 4.6 or GPT-4o?

GPT-4o is cheaper. It lists at $2.50 per million input tokens and $10 per million output tokens; Claude Opus 4.6 lists at $5 and $25.

Is Claude Opus 4.6 or GPT-4o better for coding?

Claude Opus 4.6 scores higher on coding benchmarks: 57.2 versus 24.8 in the Noometry coding category.

Which has the bigger context window?

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

How many benchmarks do Claude Opus 4.6 and GPT-4o share?

41 benchmarks have published results for both models. Claude Opus 4.6 has 68 scored results on Noometry and GPT-4o has 72.