Noometry

Model comparison

Claude Opus 4.7 vs GPT-4

Claude Opus 4.7 is the stronger model overall, scoring 58.4 to 28.9 on the Noometry Index.

Last verified . 27 shared benchmarks.

Claude Opus 4.7 Anthropic

58.4

Rank #17 Confirmed

GPT-4 OpenAI

28.9

Rank #308 Confirmed

Summary

  • They share 27 benchmarks with published results for both. Claude Opus 4.7 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 4.7 leads 66.5 to 10.1.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 97.8% for Claude Opus 4.7 and 1.1% for GPT-4.
  • Claude Opus 4.7 is cheaper at $5 / $25 per million input/output tokens, against $30 / $60 for GPT-4.
  • Claude Opus 4.7 accepts more context: 1M tokens versus 8K.

Side by side

Claude Opus 4.7GPT-4
ProviderAnthropicOpenAI
Noometry Index58.428.9
Released2026-04-142023-03-14
WeightsProprietaryProprietary
Context window1M8K
Max output128K8K
Input $ / M tokens$5$30
Output $ / M tokens$25$60
Results tracked6638

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Category by category

Coding Claude Opus 4.7 leads

Claude Opus 4.7: 59.9 (#10), GPT-4: 31.2 (#277)

BenchmarkClaude Opus 4.7GPT-4
WeirdML76.4%12.4%
LMArena Coding15191254
SWE-bench Verified83.5%—
FrontierCode38.5%—
LMArena WebDev1557—
SciCode54.5%—
GSO44.1%—
BigCodeBench Instruct—46%
MirrorCode31.1%—
BigCodeBench Complete—57.2%
ALE-Bench1,323—
HumanEval+—79.3%

Agentic & Tool Use Not comparable

Claude Opus 4.7: 47.9 (#8), GPT-4: —

BenchmarkClaude Opus 4.7GPT-4
Terminal-Bench80.2%—
APEX-Agents49.2%—
OSWorld 2.018.2%—
τ²-bench Banking40.2%—
PostTrainBench28.6%—
ExploitBench26.5%—
GBAEval43.8%—
GDP.pdf21%—
LMArena Search1233—
METR Time Horizons—36.1%
Vending-Bench 210,937—

Reasoning Claude Opus 4.7 leads

Claude Opus 4.7: 53.7 (#24), GPT-4: 17.3 (#285)

BenchmarkClaude Opus 4.7GPT-4
Chess Puzzles30%4%
LMArena Hard Prompts15071241
Mystery Game Puzzles28%12%
DTBench94.7%62.7%
LMCA52.2%17.1%
Epoch Capabilities Index156.39125.88
ForecastBench60.357.8
ARC-AGI-275.8%—
SimpleBench61.7%—
Kagi LLM Benchmark80.7%—
NYT Connections (extended)39%—
ARC-AGI-193.5%—
CritPt12%—
Thematic Generalization72.8%—
EBR-Bench19%—
BIG-Bench Hard—75.1%
HellaSwag—95.3%
WinoGrande—87.5%

Math Claude Opus 4.7 leads

Claude Opus 4.7: 66.5 (#20), GPT-4: 10.1 (#304)

BenchmarkClaude Opus 4.7GPT-4
OTIS Mock AIME 2024-202597.8%1.1%
LMArena Math14991269
FrontierMath (Tiers 1-3)70.2%—
FrontierMath Tier 431.7%—
MathArena Final-Answer Competitions73.6%—
ProofBench54%—
MATH Level 5—23%
FrontierMath (Feb 2025 set)43.8%—
FrontierMath Tier 4 (v1)22.9%—
GSM8K—92%

Knowledge Claude Opus 4.7 leads

Claude Opus 4.7: 62.6 (#20), GPT-4: 18.4 (#277)

BenchmarkClaude Opus 4.7GPT-4
GPQA Diamond90.2%35.7%
LMArena Expert15211211
Humanity's Last Exam36.2%—
SimpleQA Verified51.7%—
Vectara Hallucination Rate12%—
MMLU—86.4%
TriviaQA—84.8%

Multimodal Not comparable

Claude Opus 4.7: 41.5 (#29), GPT-4: —

BenchmarkClaude Opus 4.7GPT-4
LMArena Vision1317—
Blueprint-Bench 224.5%—
Furniture Assembly33.3%—
LMArena Document1495—

Multilingual Claude Opus 4.7 leads

Claude Opus 4.7: 57.5 (#9), GPT-4: 40.8 (#210)

BenchmarkClaude Opus 4.7GPT-4
LMArena Non-English14811246
LMArena Chinese15301242
LMArena French15051282
LMArena German14941251
LMArena Japanese14721209
LMArena Korean14661184
LMArena Russian14941251
LMArena Spanish14971261

Instruction Following Claude Opus 4.7 leads

Claude Opus 4.7: 78.6 (#9), GPT-4: 65.5 (#217)

BenchmarkClaude Opus 4.7GPT-4
LMArena Instruction Following14981241

Long Context Claude Opus 4.7 leads

Claude Opus 4.7: 46.1 (#24), GPT-4: 37.7 (#207)

BenchmarkClaude Opus 4.7GPT-4
LMArena Longer Query15051244

Writing & Preference Claude Opus 4.7 leads

Claude Opus 4.7: 75.3 (#8), GPT-4: 35.0 (#263)

BenchmarkClaude Opus 4.7GPT-4
LMArena Text14911263
LMArena Creative Writing14861244
EQ-Bench Creative Writing1914752
LMArena Multi-Turn15061257
EQ-Bench 41311—

Frequently asked questions

Is Claude Opus 4.7 better than GPT-4?

Claude Opus 4.7 is the stronger model overall, scoring 58.4 to 28.9 on the Noometry Index.

Which is cheaper, Claude Opus 4.7 or GPT-4?

Claude Opus 4.7 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 4.7 or GPT-4 better for coding?

Claude Opus 4.7 scores higher on coding benchmarks: 59.9 versus 31.2 in the Noometry coding category.

Which has the bigger context window?

Claude Opus 4.7 does, with 1M tokens against 8K.

How many benchmarks do Claude Opus 4.7 and GPT-4 share?

27 benchmarks have published results for both models. Claude Opus 4.7 has 66 scored results on Noometry and GPT-4 has 38.

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