Anthropic · model
Claude 3.7 Sonnet benchmark scores
As of 2026-10-29, Claude 3.7 Sonnet (Anthropic) has measured scores on 16 benchmarks and estimated scores on 62 more.
| Benchmark | Score | Source |
|---|---|---|
| AA-GPQA Diamond | 65.6% | measured |
| AA-HLE | 4.2% | measured |
| AA-SciCode | 39.8% | estimated ± 3.9 pp, high confidence |
| CritPt | 0.0% | measured |
| GDPval-AA | 1.2% | estimated ± 10.9 pp, low confidence |
| GPQA Diamond | 68.3% | estimated ± 1.2 pp, high confidence |
| HLE | 7.9% | estimated ± 6.9 pp, medium confidence |
| IFBench | 54.7% | estimated ± 6.6 pp, medium confidence |
| AA-LCR | 51.7% | measured |
| SciCode | 39.5% | estimated ± 3.3 pp, high confidence |
| IFEval | 90.8% | measured |
| LongBench v2 | 56.8% | estimated ± 5.8 pp, low confidence |
| τ²-bench results | 50.0% | measured |
| AA Coding Index | 29.9% | estimated ± 5.3 pp, medium confidence |
| AA-MMMU-Pro | 60.1% | measured |
| BioMysteryBench (human-difficult) | 0.0% | estimated ± 6.8 pp, low confidence |
| SWE-bench Verified | 62.3% | measured |
| BFCL v4 | 43.4% | estimated ± 8.5 pp, low confidence |
| SWE-bench Pro | 38.8% | estimated ± 4.6 pp, high confidence |
| AA Agentic Index | 9.1% | estimated ± 12.3 pp, low confidence |
| MMLU-Pro | 85.0% | estimated ± 4.1 pp, high confidence |
| AA-IFBench | 44.0% | measured |
| AIME 2024 | 23.3% | measured |
| Artificial Analysis Intelligence Index | 15.3% | measured |
| GPQA | 68.0% | measured |
| MMLU | 90.7% | estimated ± 0.7 pp, high confidence |
| AA-Omniscience Accuracy | 28.2% | measured |
| MATH-500 | 82.2% | measured |
| MMMLU | 83.2% | measured |
| MMMU | 71.8% | measured |
| AA MMLU-Pro | 85.0% | estimated ± 0.6 pp, high confidence |
| AIME 2025 | 20.3% | estimated ± 3.3 pp, medium confidence |
| ARC-AGI-1 | 70.9% | estimated ± 7.6 pp, medium confidence |
| ARC-AGI-2 | 30.7% | estimated ± 14.6 pp, low confidence |
| ParseBench | 46.6% | estimated ± 5.5 pp, medium confidence |
| Vals GPQA Diamond | 81.6% | estimated ± 5.3 pp, low confidence |
| Vals LiveCodeBench | 51.0% | estimated ± 9.9 pp, low confidence |
| Vals MMLU-Pro | 83.9% | estimated ± 2.1 pp, high confidence |
| Vals SWE-bench | 52.0% | estimated ± 6.8 pp, low confidence |
| DeepSWE | 14.4% | estimated ± 12.7 pp, low confidence |
| HLE w/o tools | 30.6% | estimated ± 4.6 pp, high confidence |
| Vibe Code Bench | 0.6% | estimated ± 8.1 pp, low confidence |
| ARC-AGI-3 | 1.4% | estimated ± 7.7 pp, low confidence |
| CharXiv | 70.3% | estimated ± 6.2 pp, low confidence |
| AI2D_TEST | 88.9% | estimated ± 2.0 pp, high confidence |
| C-Eval | 90.1% | estimated ± 1.0 pp, medium confidence |
| CountBench | 94.4% | estimated ± 3.2 pp, high confidence |
| DynaMath | 82.1% | estimated ± 5.8 pp, low confidence |
| ERQA | 37.7% | estimated ± 2.9 pp, medium confidence |
| MathVision | 56.9% | estimated ± 3.2 pp, medium confidence |
| MLVU (M-Avg) | 82.4% | estimated ± 2.4 pp, high confidence |
| MMLU-Redux | 92.1% | estimated ± 0.5 pp, medium confidence |
| MMMU-Pro | 61.3% | estimated ± 1.6 pp, high confidence |
| NL2Repo | 14.6% | estimated ± 6.2 pp, low confidence |
| RealWorldQA | 79.6% | estimated ± 3.6 pp, high confidence |
| ScreenSpot Pro | 53.0% | estimated ± 7.3 pp, low confidence |
| SimpleVQA | 53.5% | estimated ± 7.1 pp, medium confidence |
| SuperGPQA | 48.2% | estimated ± 8.2 pp, low confidence |
| Video-MME (w/o subtitle) | 73.2% | estimated ± 1.3 pp, high confidence |
| Video-MME (with subtitle) | 79.2% | estimated ± 3.2 pp, high confidence |
| VideoMMMU | 65.5% | estimated ± 3.8 pp, high confidence |
| We-Math | 75.8% | estimated ± 7.2 pp, low confidence |
| HealthBench Hard | 0.0% | estimated ± 8.6 pp, low confidence |
| MedXpertQA (MM) | 3.4% | estimated ± 6.5 pp, low confidence |
| MMLU-Pro (Arcee) | 77.1% | estimated ± 4.0 pp, low confidence |
| React Native Evals | 71.4% | estimated ± 2.3 pp, medium confidence |
| SWE-Rebench | 57.0% | estimated ± 3.6 pp, low confidence |
| BioMysteryBench (human-solvable) | 81.7% | estimated ± 0.6 pp, low confidence |
| HealthBench (length-adjusted) | 53.9% | estimated ± 3.3 pp, medium confidence |
| HealthBench Professional (raw) | 53.2% | estimated ± 8.6 pp, low confidence |
| HLE-Verified | 22.8% | estimated ± 7.1 pp, low confidence |
| STEMBench | 2.4% | estimated ± 0.2 pp, medium confidence |
| SimpleQA | 29.4% | estimated ± 4.3 pp, medium confidence |
| LiveCodeBench | 67.7% | estimated ± 14.6 pp, low confidence |
| MMVU | 67.7% | estimated ± 3.8 pp, medium confidence |
| MRCRv2 | 23.0% | estimated ± 11.3 pp, low confidence |
| MMLongBench-Doc | 59.6% | estimated ± 2.6 pp, low confidence |
| MMMU-Pro w/ Python | 64.8% | estimated ± 2.0 pp, medium confidence |