Model comparison

Claude Opus 4.6 vs GPT-5

Claude Opus 4.6 is the stronger model overall, scoring 58.2 to 50.9 on the Noometry Index. GPT-5 costs 2.9× less per token, which makes it the better buy when Claude Opus 4.6's lead doesn't matter for your workload.

Last verified . 53 shared benchmarks.

Claude Opus 4.6 Anthropic

58.2

Rank #20 Confirmed

GPT-5 OpenAI

50.9

Rank #45 Confirmed

Summary

  • They share 53 benchmarks with published results for both. Claude Opus 4.6 scores higher in 8 categories and GPT-5 in 2 categories; 10 gaps are clear of the uncertainty.
  • The widest gap is in long context, where GPT-5 leads 69.5 to 48.1.
  • The biggest single-benchmark swing is ARC-AGI-2: 69.2% for Claude Opus 4.6 and 9.9% for GPT-5.
  • GPT-5 is cheaper at $1.25 / $10 per million input/output tokens, against $5 / $25 for Claude Opus 4.6.
  • Claude Opus 4.6 accepts more context: 1M tokens versus 400K.

Side by side

Claude Opus 4.6 and GPT-5 specifications
Claude Opus 4.6GPT-5
ProviderAnthropicOpenAI
Noometry Index58.250.9
Released2026-02-042025-08-07
WeightsProprietaryProprietary
Context window1M400K
Max output128K128K
Input $ / M tokens$5$1.25
Output $ / M tokens$25$10
Results tracked6869

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Category by category

Coding Claude Opus 4.6 leads

Claude Opus 4.6: 57.2 (#20), GPT-5: 50.3 (#47)

Coding benchmarks
BenchmarkClaude Opus 4.6GPT-5
SWE-bench Verified78.7%73.6%
SWE-bench Verified (bash only)75.6%65%
LMArena WebDev15471418
GSO41.2%6.9%
WeirdML78%60.7%
LMArena Coding15361436
ALE-Bench996.51,162
AlgoTune1.471.67
FrontierCode26.6%—
Aider Polyglot—88%
SWE-bench Multilingual72%—
SciCode—42.9%

Agentic & Tool Use Claude Opus 4.6 leads

Claude Opus 4.6: 51.1 (#4), GPT-5: 33.1 (#56)

Agentic & Tool Use benchmarks
BenchmarkClaude Opus 4.6GPT-5
Terminal-Bench79.8%49.6%
Remote Labor Index4.2%1.7%
DeepResearch Bench55.3%49.6%
LMArena Search12531133
METR Time Horizons78.9%69.6%
APEX-Agents46.3%—
GDPval—34.8%
τ²-bench Banking27.3%—
Cybench93%—
BALROG—32.8%
GBAEval44.1%—
Vending-Bench 28,018—

Reasoning Claude Opus 4.6 leads

Claude Opus 4.6: 57.8 (#23), GPT-5: 38.3 (#64)

Reasoning benchmarks
BenchmarkClaude Opus 4.6GPT-5
ARC-AGI-269.2%9.9%
SimpleBench67.6%56.7%
Kagi LLM Benchmark83.6%72.7%
ARC-AGI-194%65.7%
Chess Puzzles17%37%
EnigmaEval7.6%10.5%
EBR-Bench12.7%12.7%
LMArena Hard Prompts15271416
Mystery Game Puzzles25%23%
DTBench91.2%90.7%
LMCA55.8%40%
Epoch Capabilities Index155.24150
ForecastBench6061.4
NYT Connections (extended)92.1%—
CritPt—12.6%
Thematic Generalization80.6%—

Math Claude Opus 4.6 leads

Claude Opus 4.6: 63.0 (#31), GPT-5: 55.0 (#44)

Knowledge Claude Opus 4.6 leads

Claude Opus 4.6: 61.9 (#26), GPT-5: 56.6 (#43)

Knowledge benchmarks
BenchmarkClaude Opus 4.6GPT-5
GPQA Diamond90.5%86.2%
Humanity's Last Exam34.4%25.3%
SimpleQA Verified47%50.1%
Vectara Hallucination Rate12.2%14.7%
LMArena Expert15461419
MMLU-Pro—86.3%
Confabulations—10.3%
GPQA (HELM)—79.2%

Multimodal GPT-5 leads

Claude Opus 4.6: 37.3 (#74), GPT-5: 46.8 (#13)

Multimodal benchmarks
BenchmarkClaude Opus 4.6GPT-5
LMArena Vision13161232
GeoBench—81%
VPCT—66%
Furniture Assembly28.3%—
LMArena Document1507—

Multilingual Claude Opus 4.6 leads

Claude Opus 4.6: 57.9 (#6), GPT-5: 51.4 (#110)

Multilingual benchmarks
BenchmarkClaude Opus 4.6GPT-5
LMArena Non-English14891397
LMArena Chinese15511422
LMArena French15131410
LMArena German15021416
LMArena Japanese14841409
LMArena Korean14641360
LMArena Russian14971406
LMArena Spanish15101399

Instruction Following Claude Opus 4.6 leads

Claude Opus 4.6: 79.5 (#4), GPT-5: 73.8 (#113)

Instruction Following benchmarks
BenchmarkClaude Opus 4.6GPT-5
LMArena Instruction Following15231388
IFEval—87.5%

Long Context GPT-5 leads

Claude Opus 4.6: 48.1 (#13), GPT-5: 69.5 (#2)

Long Context benchmarks
BenchmarkClaude Opus 4.6GPT-5
LMArena Longer Query15201399
Fiction.LiveBench—97.2%
CL-bench20.7%—
CL-bench Life17%—

Writing & Preference Claude Opus 4.6 leads

Claude Opus 4.6: 73.5 (#10), GPT-5: 63.4 (#65)

Writing & Preference benchmarks
BenchmarkClaude Opus 4.6GPT-5
LMArena Text15031406
LMArena Creative Writing15051365
EQ-Bench Creative Writing18091627
LMArena Multi-Turn15131426
Short-Story Creative Writing—86%
WildBench—85.7%
EQ-Bench 41223—

Frequently asked questions

Is Claude Opus 4.6 better than GPT-5?

Claude Opus 4.6 is the stronger model overall, scoring 58.2 to 50.9 on the Noometry Index. GPT-5 costs 2.9× less per token, which makes it the better buy when Claude Opus 4.6's lead doesn't matter for your workload.

Which is cheaper, Claude Opus 4.6 or GPT-5?

GPT-5 is cheaper. It lists at $1.25 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-5 better for coding?

Claude Opus 4.6 scores higher on coding benchmarks: 57.2 versus 50.3 in the Noometry coding category.

Which has the bigger context window?

Claude Opus 4.6 does, with 1M tokens against 400K.

How many benchmarks do Claude Opus 4.6 and GPT-5 share?

53 benchmarks have published results for both models. Claude Opus 4.6 has 68 scored results on Noometry and GPT-5 has 69.

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