Anthropic · model
Claude Opus 4.7 (Adaptive) benchmark scores
As of 2026-10-07, Claude Opus 4.7 (Adaptive) (Anthropic) has measured scores on 32 benchmarks and estimated scores on 87 more.
| Benchmark | Score | Source |
|---|---|---|
| AA-GPQA Diamond | 91.4% | measured |
| AA-HLE | 42.3% | measured |
| AA-SciCode | 55.4% | estimated ± 3.2 pp, high confidence |
| Artificial Analysis Intelligence Index | 40.7% | measured |
| CritPt | 12.0% | measured |
| GDPval-AA | 42.8% | measured |
| GPQA Diamond | 94.2% | measured |
| HLE | 54.7% | measured |
| IFBench | 60.6% | estimated ± 6.9 pp, medium confidence |
| AA-LCR | 78.7% | measured |
| LiveCodeBench v6 | 90.4% | estimated ± 2.1 pp, high confidence |
| AA-Omniscience Accuracy | 48.9% | measured |
| SciCode | 51.9% | estimated ± 3.8 pp, medium confidence |
| BrowseComp | 79.3% | measured |
| HLE w/ tools | 53.1% | estimated ± 4.6 pp, high confidence |
| IFEval | 92.6% | estimated ± 1.3 pp, high confidence |
| LongBench v2 | 61.5% | estimated ± 5.9 pp, low confidence |
| VITA-Bench | 47.1% | estimated ± 9.9 pp, low confidence |
| τ²-bench results | 88.6% | measured |
| AA Coding Index | 73.6% | measured |
| AA-MMMU-Pro | 78.8% | measured |
| APEX-Agents | 31.7% | estimated ± 0.6 pp, medium confidence |
| APEX-Agents-AA | 36.1% | estimated ± 2.9 pp, medium confidence |
| BioMysteryBench (human-difficult) | 45.1% | estimated ± 5.9 pp, low confidence |
| DeepSearchQA | 91.6% | estimated ± 4.5 pp, high confidence |
| SWE-bench Verified | 87.6% | measured |
| AutomationBench | 28.4% | estimated ± 5.8 pp, low confidence |
| BFCL v4 | 76.8% | estimated ± 2.6 pp, medium confidence |
| CyberGym | 73.1% | measured |
| JobBench | 45.9% | measured |
| SWE-bench Pro | 64.3% | measured |
| τ³-bench results | 69.6% | estimated ± 1.8 pp, low confidence |
| WideResearch | 80.4% | estimated ± 1.2 pp, medium confidence |
| AA Agentic Index | 39.5% | measured |
| MMLU-Pro | 85.8% | estimated ± 2.5 pp, low confidence |
| FrontierMath v2 (Tier 4) | 35.2% | estimated ± 5.0 pp, low confidence |
| FrontierMath v2 (Tiers 1-3) | 43.3% | estimated ± 0.7 pp, low confidence |
| GPQA | 94.2% | measured |
| AA-IFBench | 58.6% | measured |
| Gert Labs | 71.5% | estimated ± 3.7 pp, medium confidence |
| AA-AnalystAgent | 53.7% | estimated ± 5.5 pp, medium confidence |
| AA EnterpriseOps-Gym | 35.5% | estimated ± 3.6 pp, medium confidence |
| AA Harvey LAB | 92.1% | estimated ± 1.2 pp, medium confidence |
| ApprenticeBench | 4.0% | estimated ± 4.0 pp, medium confidence |
| ARC-AGI-1 | 93.7% | estimated ± 1.9 pp, high confidence |
| ARC-AGI-2 | 75.8% | measured |
| CursorBench 3.1 | 55.2% | estimated ± 4.8 pp, medium confidence |
| CursorBench 3.2 | 62.9% | estimated ± 3.6 pp, high confidence |
| FrontierCode 1.1 Main | 46.3% | estimated ± 2.7 pp, medium confidence |
| FrontierSWE v2 | 22.8% | estimated ± 9.0 pp, medium confidence |
| OfficeQA Pro | 43.6% | measured |
| OSWorld-Verified | 78.0% | measured |
| Vals GPQA Diamond | 91.7% | estimated ± 1.1 pp, high confidence |
| Vals LiveCodeBench | 86.3% | estimated ± 4.7 pp, medium confidence |
| Vals MMLU-Pro | 88.5% | estimated ± 1.2 pp, high confidence |
| Vals SWE-bench | 87.7% | estimated ± 5.4 pp, medium confidence |
| Terminal-Bench 2.1 (Vals AI) | 61.0% | estimated ± 6.3 pp, medium confidence |
| AA AutomationBench | 52.4% | estimated ± 5.0 pp, medium confidence |
| GDP.pdf | 19.8% | estimated ± 4.9 pp, high confidence |
| AA ITBench | 46.7% | measured |
| AA Tau3 Banking | 46.9% | estimated ± 3.0 pp, low confidence |
| CursorBench 4.0 | 37.3% | estimated ± 1.6 pp, high confidence |
| CWE-bench v1 | 50.7% | estimated ± 6.9 pp, medium confidence |
| DeepSWE | 62.8% | estimated ± 6.4 pp, medium confidence |
| HLE w/o tools | 46.9% | measured |
| OSWorld 2.0 | 18.2% | measured |
| PostTrainBench v1.1 | 28.4% | estimated ± 4.7 pp, high confidence |
| Toolathlon-Verified | 72.3% | estimated ± 1.0 pp, low confidence |
| Vibe Code Bench | 62.4% | estimated ± 8.1 pp, low confidence |
| CharXiv | 91.0% | measured |
| CharXiv w/o tools | 82.1% | measured |
| ExploitGym | 0.0% | estimated ± 6.1 pp, low confidence |
| C-Eval | 93.3% | estimated ± 0.8 pp, low confidence |
| Claw-Eval | 66.2% | estimated ± 5.6 pp, low confidence |
| DeepPlanning | 48.8% | estimated ± 13.1 pp, low confidence |
| MathVision | 88.3% | estimated ± 2.1 pp, low confidence |
| MCP Atlas | 77.3% | measured |
| MCP-Tasks | 77.0% | estimated ± 0.6 pp, low confidence |
| MMLU-Redux | 97.3% | estimated ± 1.1 pp, low confidence |
| MMMU-Pro | 76.7% | estimated ± 1.4 pp, medium confidence |
| NL2Repo | 54.5% | estimated ± 5.1 pp, medium confidence |
| QwenClawBench | 63.9% | estimated ± 2.6 pp, medium confidence |
| ScreenSpot Pro | 87.3% | estimated ± 7.1 pp, medium confidence |
| SuperGPQA | 85.3% | estimated ± 7.5 pp, low confidence |
| Terminal-Bench 2.0 | 69.4% | measured |
| Toolathlon | 51.7% | estimated ± 3.5 pp, high confidence |
| VideoMMMU | 87.4% | estimated ± 1.5 pp, high confidence |
| ERQA | 71.8% | estimated ± 3.7 pp, high confidence |
| HealthBench Hard | 36.5% | estimated ± 5.1 pp, low confidence |
| LiveCodeBench Pro | 87.0% | estimated ± 6.0 pp, low confidence |
| MedXpertQA (MM) | 79.4% | estimated ± 6.4 pp, low confidence |
| MedXpertQA (Text) | 68.9% | estimated ± 4.5 pp, medium confidence |
| MMLU-Pro (Arcee) | 88.2% | estimated ± 3.4 pp, low confidence |
| React Native Evals | 82.6% | estimated ± 3.5 pp, high confidence |
| ResearchClawBench | 18.8% | estimated ± 1.8 pp, medium confidence |
| SWE-Rebench | 61.8% | estimated ± 3.6 pp, low confidence |
| ARC-AGI-3 | 0.2% | measured |
| FrontierMath (legacy) | 43.8% | measured |
| BioMysteryBench (human-solvable) | 85.1% | estimated ± 0.6 pp, low confidence |
| DRACO | 79.1% | estimated ± 3.0 pp, medium confidence |
| FrontierCode 1.1 Extended | 57.4% | estimated ± 3.0 pp, medium confidence |
| HealthBench (raw) | 51.2% | estimated ± 6.4 pp, low confidence |
| HealthBench (length-adjusted) | 53.8% | estimated ± 0.9 pp, medium confidence |
| HealthBench Professional | 56.8% | estimated ± 4.3 pp, medium confidence |
| HealthBench Professional (raw) | 61.4% | estimated ± 5.0 pp, medium confidence |
| HLE-Verified | 35.3% | estimated ± 0.7 pp, low confidence |
| LABBench2 | 79.3% | estimated ± 1.8 pp, low confidence |
| MMMU | 86.2% | estimated ± 0.9 pp, medium confidence |
| LiveCodeBench | 100.0% | estimated ± 8.9 pp, low confidence |
| Agents' Last Exam | 24.0% | estimated ± 2.1 pp, medium confidence |
| OpenHarmony Bench | 58.1% | estimated ± 2.8 pp, high confidence |
| SimpleVQA | 72.4% | estimated ± 7.8 pp, low confidence |
| MMMLU | 91.1% | estimated ± 1.1 pp, low confidence |
| MMLU | 94.8% | estimated ± 1.1 pp, low confidence |
| MMMU-Pro w/ Python | 81.0% | estimated ± 1.6 pp, high confidence |
| MathVision w/ Python | 96.6% | estimated ± 0.9 pp, medium confidence |
| RealWorldQA | 87.5% | estimated ± 1.1 pp, medium confidence |
| Video-MME (with subtitle) | 89.6% | estimated ± 0.9 pp, medium confidence |
| OmniDocBench 1.5 | 92.0% | estimated ± 6.4 pp, low confidence |