Model comparison
Claude 3.7 Sonnet vs gpt-oss-120b
Claude 3.7 Sonnet is the stronger model overall, scoring 39.4 to 36.0 on the Noometry Index.
Last verified . 33 shared benchmarks.
Summary
- They share 33 benchmarks with published results for both. Claude 3.7 Sonnet scores higher in 5 categories and gpt-oss-120b in 4 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in agentic & tool use, where Claude 3.7 Sonnet leads 33.9 to 12.1.
- The biggest single-benchmark swing is Fiction.LiveBench: 83.3% for Claude 3.7 Sonnet and 44.4% for gpt-oss-120b.
- gpt-oss-120b has downloadable open weights; the other is API-only.
Side by side
| Claude 3.7 Sonnet | gpt-oss-120b | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 39.4 | 36.0 |
| Released | 2025-02-24 | 2025-08-05 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 41K |
| Input $ / M tokens | — | $0.037 |
| Output $ / M tokens | — | $0.17 |
| Results tracked | 58 | 48 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 41.1 (#120), gpt-oss-120b: 33.2 (#251)
| Benchmark | Claude 3.7 Sonnet | gpt-oss-120b |
|---|---|---|
| SWE-bench Verified (bash only) | 52.8% | 26% |
| Aider Polyglot | 64.9% | 41.8% |
| LMArena Coding | 1361 | 1380 |
| SWE-bench Verified | 61% | — |
| SciCode | — | 36% |
| GSO | 3.8% | — |
| WeirdML | — | 48.2% |
| LiveBench Coding | 74.5% | — |
| CadEval | 54% | — |
| ALE-Bench | — | 575.62 |
| AlgoTune | — | 1.41 |
Agentic & Tool Use Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 33.9 (#46), gpt-oss-120b: 12.1 (#145)
| Benchmark | Claude 3.7 Sonnet | gpt-oss-120b |
|---|---|---|
| METR Time Horizons | 60% | 56.6% |
| Terminal-Bench | — | 18.7% |
| APEX-Agents | — | 4.4% |
| TheAgentCompany | 30.9% | — |
| Cybench | 20% | — |
| DeepResearch Bench | 43.6% | — |
| OSWorld | 35.8% | — |
| Vending-Bench 2 | — | -21.53 |
Reasoning Too close to call
Claude 3.7 Sonnet: 18.7 (#252), gpt-oss-120b: 19.5 (#236)
| Benchmark | Claude 3.7 Sonnet | gpt-oss-120b |
|---|---|---|
| SimpleBench | 46.4% | 22.1% |
| LMArena Hard Prompts | 1333 | 1364 |
| Epoch Capabilities Index | 141.16 | 139.94 |
| ARC-AGI-2 | 0.9% | — |
| Kagi LLM Benchmark | — | 58.6% |
| ARC-AGI-1 | 28.6% | — |
| CritPt | — | 1.1% |
| Chess Puzzles | — | 20% |
| EnigmaEval | 4.2% | — |
| LiveBench Reasoning | 87.8% | — |
| Mystery Game Puzzles | — | 2% |
| DTBench | — | 76.3% |
| LiveBench Data Analysis | 74% | — |
| LMCA | — | 22.1% |
| Surface Evolver Bench | — | 25% |
| ForecastBench | 61.8 | — |
| LiveBench | 76.1% | — |
Math gpt-oss-120b leads
Claude 3.7 Sonnet: 35.7 (#137), gpt-oss-120b: 50.6 (#43)
| Benchmark | Claude 3.7 Sonnet | gpt-oss-120b |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | 88.9% |
| Omni-MATH | 33% | 68.8% |
| LMArena Math | 1336 | 1388 |
| LiveBench Math | 79% | — |
| MATH Level 5 | 91.2% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |
Knowledge gpt-oss-120b leads
Claude 3.7 Sonnet: 39.7 (#117), gpt-oss-120b: 42.3 (#89)
| Benchmark | Claude 3.7 Sonnet | gpt-oss-120b |
|---|---|---|
| GPQA Diamond | 79.7% | 75.8% |
| MMLU-Pro | 78.4% | 79.5% |
| Confabulations | 14.7% | 15.7% |
| GPQA (HELM) | 60.8% | 68.4% |
| LMArena Expert | 1321 | 1356 |
| Humanity's Last Exam | 8% | — |
| Vectara Hallucination Rate | — | 14.2% |
Multimodal Not comparable
Claude 3.7 Sonnet: 33.1 (#90), gpt-oss-120b: —
| Benchmark | Claude 3.7 Sonnet | gpt-oss-120b |
|---|---|---|
| LMArena Vision | 1169 | — |
| GeoBench | 68% | — |
| VPCT | 39% | — |
| SpatialViz-Bench | 33.9% | — |
Multilingual gpt-oss-120b leads
Claude 3.7 Sonnet: 44.3 (#174), gpt-oss-120b: 48.2 (#142)
| Benchmark | Claude 3.7 Sonnet | gpt-oss-120b |
|---|---|---|
| LMArena Non-English | 1296 | 1350 |
| LMArena Chinese | 1299 | 1384 |
| LMArena French | 1302 | 1370 |
| LMArena German | 1301 | 1355 |
| LMArena Japanese | 1268 | 1332 |
| LMArena Korean | 1249 | 1283 |
| LMArena Russian | 1311 | 1343 |
| LMArena Spanish | 1299 | 1388 |
Instruction Following Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 73.1 (#120), gpt-oss-120b: 69.5 (#168)
| Benchmark | Claude 3.7 Sonnet | gpt-oss-120b |
|---|---|---|
| IFEval | 83.4% | 83.6% |
| LMArena Instruction Following | 1352 | 1318 |
| LiveBench Instruction Following | 81.3% | — |
Long Context Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 50.2 (#10), gpt-oss-120b: 31.4 (#273)
| Benchmark | Claude 3.7 Sonnet | gpt-oss-120b |
|---|---|---|
| Fiction.LiveBench | 83.3% | 44.4% |
| LMArena Longer Query | 1373 | 1319 |
Writing & Preference Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 54.6 (#145), gpt-oss-120b: 46.7 (#213)
| Benchmark | Claude 3.7 Sonnet | gpt-oss-120b |
|---|---|---|
| LMArena Text | 1314 | 1366 |
| LMArena Creative Writing | 1332 | 1274 |
| Short-Story Creative Writing | 81.1% | 77.1% |
| EQ-Bench Creative Writing | 1412 | 961 |
| WildBench | 81.4% | 84.5% |
| LMArena Multi-Turn | 1339 | 1340 |
| LiveBench Language | 59.9% | — |
Frequently asked questions
Is Claude 3.7 Sonnet better than gpt-oss-120b?
Claude 3.7 Sonnet is the stronger model overall, scoring 39.4 to 36.0 on the Noometry Index.
Is Claude 3.7 Sonnet or gpt-oss-120b better for coding?
Claude 3.7 Sonnet scores higher on coding benchmarks: 41.1 versus 33.2 in the Noometry coding category.
How many benchmarks do Claude 3.7 Sonnet and gpt-oss-120b share?
33 benchmarks have published results for both models. Claude 3.7 Sonnet has 58 scored results on Noometry and gpt-oss-120b has 48.