Model comparison
Claude 3.7 Sonnet vs GPT-5 Pro
GPT-5 Pro is the stronger model overall, scoring 46.2 to 39.4 on the Noometry Index.
Last verified . 6 shared benchmarks.
Summary
- They share 6 benchmarks with published results for both. Claude 3.7 Sonnet scores higher in 0 categories and GPT-5 Pro in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5 Pro leads 39.2 to 18.7.
- The biggest single-benchmark swing is ARC-AGI-1: 28.6% for Claude 3.7 Sonnet and 70.2% for GPT-5 Pro.
Side by side
| Claude 3.7 Sonnet | GPT-5 Pro | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 39.4 | 46.2 |
| Released | 2025-02-24 | 2025-10-06 |
| Weights | Proprietary | Proprietary |
| Context window | — | 400K |
| Max output | — | 272K |
| Input $ / M tokens | — | $15 |
| Output $ / M tokens | — | $120 |
| Results tracked | 58 | 12 |
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Category by category
Coding GPT-5 Pro leads
Claude 3.7 Sonnet: 41.1 (#120), GPT-5 Pro: 43.4 (#77)
| Benchmark | Claude 3.7 Sonnet | GPT-5 Pro |
|---|---|---|
| SWE-bench Verified | 61% | — |
| SWE-bench Verified (bash only) | 52.8% | — |
| Aider Polyglot | 64.9% | — |
| GSO | 3.8% | — |
| WeirdML | — | 60.4% |
| LiveBench Coding | 74.5% | — |
| LMArena Coding | 1361 | — |
| CadEval | 54% | — |
| AlgoTune | — | 1.31 |
Agentic & Tool Use Not comparable
Claude 3.7 Sonnet: 33.9 (#46), GPT-5 Pro: —
| Benchmark | Claude 3.7 Sonnet | GPT-5 Pro |
|---|---|---|
| TheAgentCompany | 30.9% | — |
| Cybench | 20% | — |
| DeepResearch Bench | 43.6% | — |
| OSWorld | 35.8% | — |
| METR Time Horizons | 60% | — |
Reasoning GPT-5 Pro leads
Claude 3.7 Sonnet: 18.7 (#252), GPT-5 Pro: 39.2 (#52)
| Benchmark | Claude 3.7 Sonnet | GPT-5 Pro |
|---|---|---|
| ARC-AGI-2 | 0.9% | 18.3% |
| SimpleBench | 46.4% | 61.6% |
| ARC-AGI-1 | 28.6% | 70.2% |
| EnigmaEval | 4.2% | 18.8% |
| Epoch Capabilities Index | 141.16 | 150.26 |
| Kagi LLM Benchmark | — | 76.8% |
| LiveBench Reasoning | 87.8% | — |
| LMArena Hard Prompts | 1333 | — |
| LiveBench Data Analysis | 74% | — |
| ForecastBench | 61.8 | — |
| LiveBench | 76.1% | — |
Math GPT-5 Pro leads
Claude 3.7 Sonnet: 35.7 (#137), GPT-5 Pro: 48.0 (#53)
| Benchmark | Claude 3.7 Sonnet | GPT-5 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 55.8% |
| FrontierMath Tier 4 | — | 19.5% |
| OTIS Mock AIME 2024-2025 | 57.8% | — |
| Omni-MATH | 33% | — |
| LiveBench Math | 79% | — |
| LMArena Math | 1336 | — |
| MATH Level 5 | 91.2% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |
| FrontierMath Tier 4 (v1) | — | 14.6% |
Knowledge GPT-5 Pro leads
Claude 3.7 Sonnet: 39.7 (#117), GPT-5 Pro: 56.2 (#39)
| Benchmark | Claude 3.7 Sonnet | GPT-5 Pro |
|---|---|---|
| Humanity's Last Exam | 8% | 31.6% |
| GPQA Diamond | 79.7% | — |
| MMLU-Pro | 78.4% | — |
| Confabulations | 14.7% | — |
| GPQA (HELM) | 60.8% | — |
| LMArena Expert | 1321 | — |
Multimodal Not comparable
Claude 3.7 Sonnet: 33.1 (#90), GPT-5 Pro: —
| Benchmark | Claude 3.7 Sonnet | GPT-5 Pro |
|---|---|---|
| LMArena Vision | 1169 | — |
| GeoBench | 68% | — |
| VPCT | 39% | — |
| SpatialViz-Bench | 33.9% | — |
Multilingual Not comparable
Claude 3.7 Sonnet: 44.3 (#174), GPT-5 Pro: —
| Benchmark | Claude 3.7 Sonnet | GPT-5 Pro |
|---|---|---|
| LMArena Non-English | 1296 | — |
| LMArena Chinese | 1299 | — |
| LMArena French | 1302 | — |
| LMArena German | 1301 | — |
| LMArena Japanese | 1268 | — |
| LMArena Korean | 1249 | — |
| LMArena Russian | 1311 | — |
| LMArena Spanish | 1299 | — |
Instruction Following Not comparable
Claude 3.7 Sonnet: 73.1 (#120), GPT-5 Pro: —
| Benchmark | Claude 3.7 Sonnet | GPT-5 Pro |
|---|---|---|
| LiveBench Instruction Following | 81.3% | — |
| IFEval | 83.4% | — |
| LMArena Instruction Following | 1352 | — |
Long Context Not comparable
Claude 3.7 Sonnet: 50.2 (#10), GPT-5 Pro: —
| Benchmark | Claude 3.7 Sonnet | GPT-5 Pro |
|---|---|---|
| Fiction.LiveBench | 83.3% | — |
| LMArena Longer Query | 1373 | — |
Writing & Preference Not comparable
Claude 3.7 Sonnet: 54.6 (#145), GPT-5 Pro: —
| Benchmark | Claude 3.7 Sonnet | GPT-5 Pro |
|---|---|---|
| LMArena Text | 1314 | — |
| LMArena Creative Writing | 1332 | — |
| Short-Story Creative Writing | 81.1% | — |
| EQ-Bench Creative Writing | 1412 | — |
| WildBench | 81.4% | — |
| LMArena Multi-Turn | 1339 | — |
| LiveBench Language | 59.9% | — |
Frequently asked questions
Is Claude 3.7 Sonnet better than GPT-5 Pro?
GPT-5 Pro is the stronger model overall, scoring 46.2 to 39.4 on the Noometry Index.
Is Claude 3.7 Sonnet or GPT-5 Pro better for coding?
GPT-5 Pro scores higher on coding benchmarks: 43.4 versus 41.1 in the Noometry coding category.
How many benchmarks do Claude 3.7 Sonnet and GPT-5 Pro share?
6 benchmarks have published results for both models. Claude 3.7 Sonnet has 58 scored results on Noometry and GPT-5 Pro has 12.