Anthropic · model
Claude 4.1 Opus Thinking benchmark scores
As of 2026-10-07, Claude 4.1 Opus Thinking (Anthropic) has measured scores on 8 benchmarks and estimated scores on 47 more.
| Benchmark | Score | Source |
|---|---|---|
| AA-GPQA Diamond | 80.9% | measured |
| AA-HLE | 12.5% | measured |
| Artificial Analysis Intelligence Index | 22.9% | measured |
| CritPt | 0.0% | measured |
| GDPval-AA | 7.3% | estimated ± 12.5 pp, low confidence |
| GPQA Diamond | 76.1% | estimated ± 2.2 pp, high confidence |
| HLE | 19.0% | estimated ± 9.5 pp, medium confidence |
| IFBench | 59.2% | estimated ± 6.9 pp, medium confidence |
| AA-LCR | 76.0% | measured |
| AA-Omniscience Accuracy | 19.3% | estimated ± 6.9 pp, medium confidence |
| IFEval | 92.2% | estimated ± 1.3 pp, high confidence |
| LongBench v2 | 61.5% | estimated ± 5.9 pp, medium confidence |
| τ²-bench results | 71.4% | measured |
| AA-MMMU-Pro | 67.9% | measured |
| APEX-Agents-AA | 1.6% | estimated ± 11.4 pp, low confidence |
| BioMysteryBench (human-difficult) | 0.0% | estimated ± 6.8 pp, low confidence |
| BFCL v4 | 51.3% | estimated ± 9.8 pp, low confidence |
| AA Agentic Index | 15.8% | estimated ± 12.3 pp, low confidence |
| MMLU-Pro | 83.7% | estimated ± 3.9 pp, high confidence |
| GPQA | 87.3% | estimated ± 3.2 pp, high confidence |
| AA-IFBench | 55.4% | measured |
| AA EnterpriseOps-Gym | 13.1% | estimated ± 3.6 pp, low confidence |
| ARC-AGI-1 | 65.6% | estimated ± 5.4 pp, medium confidence |
| ARC-AGI-2 | 26.2% | estimated ± 14.2 pp, low confidence |
| OfficeQA Pro | 50.3% | estimated ± 7.2 pp, low confidence |
| Vals GPQA Diamond | 73.6% | estimated ± 7.4 pp, medium confidence |
| Vals MMLU-Pro | 83.2% | estimated ± 2.5 pp, high confidence |
| AA ITBench | 69.3% | estimated ± 3.6 pp, low confidence |
| HLE w/o tools | 10.2% | estimated ± 5.7 pp, medium confidence |
| CharXiv | 70.7% | estimated ± 7.5 pp, low confidence |
| CharXiv w/o tools | 74.9% | estimated ± 2.4 pp, medium confidence |
| C-Eval | 92.3% | estimated ± 1.0 pp, medium confidence |
| MathVision | 81.5% | estimated ± 4.9 pp, high confidence |
| MCP-Tasks | 81.3% | estimated ± 8.2 pp, low confidence |
| MMLU-Redux | 94.7% | estimated ± 2.1 pp, medium confidence |
| MMMU-Pro | 73.6% | estimated ± 4.4 pp, medium confidence |
| ScreenSpot Pro | 67.0% | estimated ± 10.7 pp, low confidence |
| SuperGPQA | 71.0% | estimated ± 10.4 pp, low confidence |
| ERQA | 15.7% | estimated ± 3.9 pp, medium confidence |
| HealthBench Hard | 13.3% | estimated ± 7.7 pp, low confidence |
| MedXpertQA (MM) | 35.9% | estimated ± 6.5 pp, low confidence |
| MMLU-Pro (Arcee) | 77.1% | estimated ± 4.0 pp, low confidence |
| ARC-AGI-3 | 1.6% | estimated ± 10.7 pp, low confidence |
| BioMysteryBench (human-solvable) | 81.7% | estimated ± 0.6 pp, low confidence |
| HealthBench (raw) | 18.5% | estimated ± 6.4 pp, low confidence |
| HealthBench (length-adjusted) | 53.9% | estimated ± 3.7 pp, low confidence |
| HealthBench Professional | 57.7% | estimated ± 4.8 pp, low confidence |
| HealthBench Professional (raw) | 31.4% | estimated ± 5.0 pp, low confidence |
| HLE-Verified | 15.3% | estimated ± 2.0 pp, low confidence |
| LABBench2 | 64.0% | estimated ± 1.8 pp, low confidence |
| MMMU | 77.7% | estimated ± 0.9 pp, high confidence |
| MMLU | 96.4% | estimated ± 1.9 pp, low confidence |
| MMMU-Pro w/ Python | 74.0% | estimated ± 1.6 pp, high confidence |
| RealWorldQA | 80.8% | estimated ± 1.2 pp, low confidence |
| OmniDocBench 1.5 | 0.0% | estimated ± 6.4 pp, low confidence |