Noometry

Model comparison

Claude Opus 4.6 vs GPT-4

Claude Opus 4.6 is the stronger model overall, scoring 58.2 to 29.1 on the Noometry Index.

Last verified . 28 shared benchmarks.

Claude Opus 4.6 Anthropic

58.2

Rank #20 Confirmed

GPT-4 OpenAI

29.1

Rank #316 Confirmed

Summary

  • They share 28 benchmarks with published results for both. Claude Opus 4.6 scores higher in 8 categories and GPT-4 in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Claude Opus 4.6 leads 63.0 to 10.8.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 94.4% for Claude Opus 4.6 and 1.1% for GPT-4.
  • Claude Opus 4.6 is cheaper at $5 / $25 per million input/output tokens, against $30 / $60 for GPT-4.
  • Claude Opus 4.6 accepts more context: 1M tokens versus 8K.

Side by side

Claude Opus 4.6GPT-4
ProviderAnthropicOpenAI
Noometry Index58.229.1
Released2026-02-042023-03-14
WeightsProprietaryProprietary
Context window1M8K
Max output128K8K
Input $ / M tokens$5$30
Output $ / M tokens$25$60
Results tracked6838

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Category by category

Coding Claude Opus 4.6 leads

Claude Opus 4.6: 57.2 (#20), GPT-4: 31.6 (#283)

BenchmarkClaude Opus 4.6GPT-4
WeirdML78%12.4%
LMArena Coding15361254
SWE-bench Verified78.7%—
FrontierCode26.6%—
SWE-bench Verified (bash only)75.6%—
LMArena WebDev1547—
SWE-bench Multilingual72%—
GSO41.2%—
BigCodeBench Instruct—46%
BigCodeBench Complete—57.2%
ALE-Bench996.5—
AlgoTune1.47—
HumanEval+—79.3%

Agentic & Tool Use Not comparable

Claude Opus 4.6: 51.1 (#4), GPT-4: —

BenchmarkClaude Opus 4.6GPT-4
METR Time Horizons78.9%36.1%
Terminal-Bench79.8%—
APEX-Agents46.3%—
Remote Labor Index4.2%—
τ²-bench Banking27.3%—
Cybench93%—
DeepResearch Bench55.3%—
GBAEval44.1%—
LMArena Search1253—
Vending-Bench 28,018—

Reasoning Claude Opus 4.6 leads

Claude Opus 4.6: 57.8 (#23), GPT-4: 17.8 (#289)

BenchmarkClaude Opus 4.6GPT-4
Chess Puzzles17%4%
LMArena Hard Prompts15271241
Mystery Game Puzzles25%12%
DTBench91.2%62.7%
LMCA55.8%17.1%
Epoch Capabilities Index155.24125.89
ForecastBench6057.8
ARC-AGI-269.2%—
SimpleBench67.6%—
Kagi LLM Benchmark83.6%—
NYT Connections (extended)92.1%—
ARC-AGI-194%—
EnigmaEval7.6%—
Thematic Generalization80.6%—
EBR-Bench12.7%—
BIG-Bench Hard—75.1%
HellaSwag—95.3%
WinoGrande—87.5%

Math Claude Opus 4.6 leads

Claude Opus 4.6: 63.0 (#31), GPT-4: 10.8 (#309)

BenchmarkClaude Opus 4.6GPT-4
OTIS Mock AIME 2024-202594.4%1.1%
LMArena Math15191269
FrontierMath (Tiers 1-3)66%—
FrontierMath Tier 426.8%—
MathArena Final-Answer Competitions78.5%—
ProofBench50%—
MATH Level 5—23%
FrontierMath (Feb 2025 set)40.7%—
FrontierMath Tier 4 (v1)22.9%—
GSM8K—92%

Knowledge Claude Opus 4.6 leads

Claude Opus 4.6: 61.9 (#26), GPT-4: 18.4 (#282)

BenchmarkClaude Opus 4.6GPT-4
GPQA Diamond90.5%35.7%
LMArena Expert15461211
Humanity's Last Exam34.4%—
SimpleQA Verified47%—
Vectara Hallucination Rate12.2%—
MMLU—86.4%
TriviaQA—84.8%

Multimodal Not comparable

Claude Opus 4.6: 37.3 (#74), GPT-4: —

BenchmarkClaude Opus 4.6GPT-4
LMArena Vision1316—
Furniture Assembly28.3%—
LMArena Document1507—

Multilingual Claude Opus 4.6 leads

Claude Opus 4.6: 57.9 (#6), GPT-4: 40.6 (#215)

BenchmarkClaude Opus 4.6GPT-4
LMArena Non-English14891246
LMArena Chinese15511242
LMArena French15131283
LMArena German15021251
LMArena Japanese14841209
LMArena Korean14641184
LMArena Russian14971251
LMArena Spanish15101261

Instruction Following Claude Opus 4.6 leads

Claude Opus 4.6: 79.5 (#4), GPT-4: 65.3 (#222)

BenchmarkClaude Opus 4.6GPT-4
LMArena Instruction Following15231241

Long Context Claude Opus 4.6 leads

Claude Opus 4.6: 48.1 (#13), GPT-4: 37.7 (#212)

BenchmarkClaude Opus 4.6GPT-4
LMArena Longer Query15201244
CL-bench20.7%—
CL-bench Life17%—

Writing & Preference Claude Opus 4.6 leads

Claude Opus 4.6: 73.5 (#10), GPT-4: 34.9 (#268)

BenchmarkClaude Opus 4.6GPT-4
LMArena Text15031263
LMArena Creative Writing15051244
EQ-Bench Creative Writing1809752
LMArena Multi-Turn15131257
EQ-Bench 41223—

Frequently asked questions

Is Claude Opus 4.6 better than GPT-4?

Claude Opus 4.6 is the stronger model overall, scoring 58.2 to 29.1 on the Noometry Index.

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

Claude Opus 4.6 is cheaper. It lists at $5 per million input tokens and $25 per million output tokens; GPT-4 lists at $30 and $60.

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

Claude Opus 4.6 scores higher on coding benchmarks: 57.2 versus 31.6 in the Noometry coding category.

Which has the bigger context window?

Claude Opus 4.6 does, with 1M tokens against 8K.

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

28 benchmarks have published results for both models. Claude Opus 4.6 has 68 scored results on Noometry and GPT-4 has 38.

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