Model comparison

Claude Opus 4.5 vs GPT-4o

Claude Opus 4.5 is the stronger model overall, scoring 50.5 to 28.6 on the Noometry Index. GPT-4o costs 2.3× less per token, which makes it the better buy when Claude Opus 4.5's lead doesn't matter for your workload.

Last verified October 10, 2026. 44 shared benchmarks.

Claude Opus 4.5 Anthropic

50.5

Rank #47 Confirmed

GPT-4o OpenAI

28.6

Rank #324 Confirmed

Summary

They share 44 benchmarks with published results for both. Claude Opus 4.5 scores higher in 9 categories and GPT-4o in 1 category; 10 gaps are clear of the uncertainty.
The widest gap is in reasoning, where Claude Opus 4.5 leads 42.6 to 9.4.
The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 86.1% for Claude Opus 4.5 and 6.4% for GPT-4o.
GPT-4o is cheaper at $2.50 / $10 per million input/output tokens, against $5 / $25 for Claude Opus 4.5.
Claude Opus 4.5 accepts more context: 200K tokens versus 128K.

Side by side

Claude Opus 4.5 and GPT-4o specifications
	Claude Opus 4.5	GPT-4o
Provider	Anthropic	OpenAI
Noometry Index	50.5	28.6
Released	2025-11-01	2024-05-13
Weights	Proprietary	Proprietary
Context window	200K	128K
Max output	64K	16K
Input $ / M tokens	$5	$2.50
Output $ / M tokens	$25	$10
Results tracked	69	72

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Category by category

Coding Claude Opus 4.5 leads

Claude Opus 4.5: 54.8 (#27), GPT-4o: 24.8 (#328)

Coding benchmarks
Benchmark	Claude Opus 4.5	GPT-4o
SWE-bench Verified	76.7%	31%
SWE-bench Verified (bash only)	76.8%	21.6%
GSO	26.5%	0%
WeirdML	63.7%	25.1%
LMArena Coding	1504	1297
Aider Polyglot	—	45.3%
LMArena WebDev	1494	—
SWE-bench Multilingual	70.7%	—
BigCodeBench Instruct	—	51.1%
LiveBench Coding	—	51.4%
BigCodeBench Complete	—	61.1%
CadEval	—	26%
ALE-Bench	1,025	—
AlgoTune	1.77	—
HumanEval+	—	87.2%
MBPP+	—	72.2%

Agentic & Tool Use Claude Opus 4.5 leads

Claude Opus 4.5: 47.3 (#12), GPT-4o: 21.0 (#141)

Agentic & Tool Use benchmarks
Benchmark	Claude Opus 4.5	GPT-4o
GDPval	45.5%	9.9%
Cybench	82%	12.5%
BALROG	43.5%	32.3%
LMArena Search	1180	1006
METR Time Horizons	75%	40.8%
Terminal-Bench	63.1%	—
Berkeley Function Calling Leaderboard	77.5%	—
Remote Labor Index	3.8%	—
TheAgentCompany	—	8.6%
τ²-bench Airline	84%	—
τ²-bench Banking	24.7%	—
τ²-bench Retail	79.6%	—
τ²-bench Telecom	92.3%	—
DeepResearch Bench	54.8%	—
OSWorld	66.3%	—
Vending-Bench 2	4,967	—

Reasoning Claude Opus 4.5 leads

Claude Opus 4.5: 42.6 (#51), GPT-4o: 9.4 (#343)

Reasoning benchmarks
Benchmark	Claude Opus 4.5	GPT-4o
ARC-AGI-2	37.6%	0%
SimpleBench	62%	17.8%
ARC-AGI-1	80%	4.5%
Chess Puzzles	12%	13%
EnigmaEval	11.9%	0.8%
LMArena Hard Prompts	1476	1281
DTBench	89.9%	64.5%
LMCA	44.5%	16.6%
Epoch Capabilities Index	150.09	128.97
ForecastBench	60.7	57.7
Kagi LLM Benchmark	80.2%	—
NYT Connections (extended)	52.5%	—
CritPt	—	0%
EBR-Bench	14.3%	—
LiveBench Reasoning	—	55.8%
Mystery Game Puzzles	22%	—
LiveBench Data Analysis	—	60.9%
LiveBench	—	55.3%

Math Claude Opus 4.5 leads

Claude Opus 4.5: 38.6 (#132), GPT-4o: 10.6 (#312)

Math benchmarks
Benchmark	Claude Opus 4.5	GPT-4o
FrontierMath (Tiers 1-3)	34.4%	0.4%
OTIS Mock AIME 2024-2025	86.1%	6.4%
LMArena Math	1463	1285
FrontierMath (Feb 2025 set)	20.7%	0.3%
FrontierMath Tier 4	4.9%	—
ProofBench	36%	—
Omni-MATH	—	29.3%
LiveBench Math	—	49.5%
MATH Level 5	—	53.3%
FrontierMath Tier 4 (v1)	4.2%	—

Knowledge Claude Opus 4.5 leads

Claude Opus 4.5: 56.5 (#44), GPT-4o: 28.8 (#242)

Knowledge benchmarks
Benchmark	Claude Opus 4.5	GPT-4o
GPQA Diamond	86%	49.2%
Humanity's Last Exam	25.2%	2.7%
SimpleQA Verified	45.7%	26%
Vectara Hallucination Rate	10.9%	9.6%
LMArena Expert	1487	1250
MMLU-Pro	—	71.3%
Confabulations	—	15.3%
GPQA (HELM)	—	52%
MMLU	—	88.1%

Multimodal GPT-4o leads

Claude Opus 4.5: 31.4 (#107), GPT-4o: 34.5 (#91)

Multimodal benchmarks
Benchmark	Claude Opus 4.5	GPT-4o
GeoBench	75%	71%
VPCT	40%	40%
LMArena Vision	—	1137
Video-MME	—	71.9%
Furniture Assembly	28.3%	—
LMArena Document	1462	—
ScienceQA	—	88.5%

Multilingual Claude Opus 4.5 leads

Claude Opus 4.5: 54.3 (#47), GPT-4o: 43.2 (#186)

Multilingual benchmarks
Benchmark	Claude Opus 4.5	GPT-4o
LMArena Non-English	1438	1283
LMArena Chinese	1470	1277
LMArena French	1471	1304
LMArena German	1449	1282
LMArena Japanese	1416	1257
LMArena Korean	1424	1234
LMArena Russian	1447	1286
LMArena Spanish	1458	1292

Instruction Following Claude Opus 4.5 leads

Claude Opus 4.5: 77.5 (#19), GPT-4o: 66.6 (#207)

Instruction Following benchmarks
Benchmark	Claude Opus 4.5	GPT-4o
LMArena Instruction Following	1478	1278
LiveBench Instruction Following	—	68.6%
IFEval	—	81.7%

Long Context Claude Opus 4.5 leads

Claude Opus 4.5: 46.5 (#22), GPT-4o: 39.4 (#179)

Long Context benchmarks
Benchmark	Claude Opus 4.5	GPT-4o
LMArena Longer Query	1480	1289
Fiction.LiveBench	—	66.7%
CL-bench	21.1%	—

Writing & Preference Claude Opus 4.5 leads

Claude Opus 4.5: 68.1 (#28), GPT-4o: 52.6 (#166)

Writing & Preference benchmarks
Benchmark	Claude Opus 4.5	GPT-4o
LMArena Text	1451	1300
LMArena Creative Writing	1445	1292
LMArena Multi-Turn	1466	1302
Short-Story Creative Writing	—	81.8%
EQ-Bench Creative Writing	1687	—
WildBench	—	82.8%
LiveBench Language	—	47.6%

Frequently asked questions

Is Claude Opus 4.5 better than GPT-4o?

Which is cheaper, Claude Opus 4.5 or GPT-4o?

GPT-4o is cheaper. It lists at $2.50 per million input tokens and $10 per million output tokens; Claude Opus 4.5 lists at $5 and $25.

Is Claude Opus 4.5 or GPT-4o better for coding?

Claude Opus 4.5 scores higher on coding benchmarks: 54.8 versus 24.8 in the Noometry coding category.

Which has the bigger context window?

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

How many benchmarks do Claude Opus 4.5 and GPT-4o share?

44 benchmarks have published results for both models. Claude Opus 4.5 has 69 scored results on Noometry and GPT-4o has 72.