Meta · model
Muse Wonder benchmark scores
As of 2026-10-13, Muse Wonder (Meta) has measured scores on 16 benchmarks and estimated scores on 74 more.
| Benchmark | Score | Source |
|---|---|---|
| AA-GPQA Diamond | 93.9% | estimated ± 2.1 pp, medium confidence |
| AA-HLE | 50.1% | measured |
| AA-SciCode | 60.3% | measured |
| Artificial Analysis Intelligence Index | 52.4% | measured |
| CritPt | 28.3% | measured |
| GDPval-AA | 63.5% | measured |
| GPQA Diamond | 94.6% | estimated ± 1.0 pp, medium confidence |
| HLE | 43.4% | estimated ± 9.5 pp, medium confidence |
| AA-LCR | 80.7% | measured |
| LiveCodeBench v6 | 100.0% | estimated ± 5.2 pp, low confidence |
| AA-Omniscience Accuracy | 41.1% | measured |
| SciCode | 59.7% | estimated ± 3.2 pp, medium confidence |
| Terminal-Bench 2.1 | 89.5% | estimated ± 3.9 pp, medium confidence |
| BrowseComp | 100.0% | estimated ± 6.2 pp, low confidence |
| HLE w/ tools | 63.7% | estimated ± 5.5 pp, medium confidence |
| AA Coding Index | 78.9% | estimated ± 2.5 pp, medium confidence |
| APEX-Agents | 49.7% | estimated ± 10.1 pp, low confidence |
| APEX-Agents-AA | 43.7% | estimated ± 3.6 pp, low confidence |
| BioMysteryBench (human-difficult) | 41.5% | estimated ± 5.9 pp, low confidence |
| DeepSearchQA | 90.5% | estimated ± 8.5 pp, low confidence |
| SWE-bench Verified | 96.7% | estimated ± 5.2 pp, low confidence |
| AutomationBench | 37.0% | estimated ± 7.6 pp, low confidence |
| BFCL v4 | 77.6% | estimated ± 2.7 pp, medium confidence |
| CyberGym | 94.3% | estimated ± 6.2 pp, low confidence |
| JobBench | 70.5% | measured |
| SWE-bench Pro | 75.2% | estimated ± 6.8 pp, medium confidence |
| WideResearch | 85.7% | estimated ± 1.2 pp, low confidence |
| AA Agentic Index | 57.6% | estimated ± 2.8 pp, medium confidence |
| MMLU-Pro | 84.9% | estimated ± 3.7 pp, high confidence |
| GPQA | 94.6% | estimated ± 1.0 pp, medium confidence |
| Gert Labs | 100.0% | estimated ± 7.3 pp, low confidence |
| AA-AnalystAgent | 53.9% | estimated ± 8.7 pp, medium confidence |
| AA EnterpriseOps-Gym | 56.1% | estimated ± 4.4 pp, medium confidence |
| ApprenticeBench | 21.1% | estimated ± 5.6 pp, low confidence |
| ARC-AGI-1 | 94.7% | estimated ± 5.4 pp, medium confidence |
| ARC-AGI-2 | 83.0% | estimated ± 14.2 pp, low confidence |
| CursorBench 3.1 | 69.4% | estimated ± 3.4 pp, medium confidence |
| CursorBench 3.2 | 46.3% | estimated ± 3.6 pp, low confidence |
| FrontierCode 1.1 Main | 59.0% | estimated ± 3.7 pp, low confidence |
| FrontierSWE v2 | 42.3% | estimated ± 14.6 pp, low confidence |
| OSWorld-Verified | 89.1% | estimated ± 8.1 pp, low confidence |
| Vals GPQA Diamond | 95.3% | estimated ± 1.5 pp, medium confidence |
| Vals LiveCodeBench | 77.4% | estimated ± 6.1 pp, low confidence |
| Vals MMLU-Pro | 90.0% | estimated ± 1.5 pp, medium confidence |
| Vals SWE-bench | 92.2% | estimated ± 7.6 pp, low confidence |
| Terminal-Bench 2.1 (Vals AI) | 78.7% | estimated ± 8.5 pp, medium confidence |
| AA AutomationBench | 39.1% | measured |
| GDP.pdf | 30.6% | measured |
| AA Tau3 Banking | 47.4% | estimated ± 5.9 pp, low confidence |
| AA Terminal-Bench 2.1 | 86.8% | estimated ± 2.6 pp, high confidence |
| AA Terminal-Bench 4.0 | 52.0% | measured |
| Bug Hunt Bench | 31.2% | estimated ± 10.9 pp, low confidence |
| CursorBench 4.0 | 49.0% | estimated ± 3.5 pp, high confidence |
| CWE-bench v1 | 41.1% | estimated ± 6.0 pp, medium confidence |
| DeepSWE | 78.8% | measured |
| HLE w/o tools | 51.3% | estimated ± 5.7 pp, medium confidence |
| OSWorld 2.0 | 39.9% | estimated ± 13.3 pp, low confidence |
| PostTrainBench v1.1 | 47.2% | estimated ± 4.8 pp, medium confidence |
| ProgramBench | 50.0% | measured |
| Terminal-Bench 4.0 | 55.4% | estimated ± 5.1 pp, medium confidence |
| Terminal-Bench-Science 0.1 | 53.4% | estimated ± 4.1 pp, medium confidence |
| Toolathlon-Verified | 100.0% | estimated ± 1.3 pp, low confidence |
| ExploitGym | 36.6% | estimated ± 5.0 pp, low confidence |
| C-Eval | 93.4% | estimated ± 1.0 pp, low confidence |
| Claw-Eval | 66.2% | estimated ± 5.6 pp, low confidence |
| MCP Atlas | 81.0% | estimated ± 2.7 pp, medium confidence |
| MMLU-Redux | 96.4% | estimated ± 1.6 pp, medium confidence |
| NL2Repo | 66.2% | estimated ± 6.5 pp, low confidence |
| QwenClawBench | 94.0% | estimated ± 6.0 pp, low confidence |
| SuperGPQA | 80.8% | estimated ± 8.2 pp, medium confidence |
| Toolathlon | 55.9% | estimated ± 6.3 pp, low confidence |
| HealthBench Hard | 35.0% | estimated ± 7.7 pp, low confidence |
| MMLU-Pro (Arcee) | 100.0% | estimated ± 4.0 pp, low confidence |
| React Native Evals | 81.0% | estimated ± 4.7 pp, low confidence |
| ResearchClawBench | 20.3% | estimated ± 2.2 pp, low confidence |
| ARC-AGI-3 | 1.7% | estimated ± 3.4 pp, medium confidence |
| Finance Agent v2 | 56.6% | measured |
| BioMysteryBench (human-solvable) | 89.5% | estimated ± 0.6 pp, medium confidence |
| DRACO | 87.6% | estimated ± 3.1 pp, medium confidence |
| HealthBench (raw) | 57.9% | estimated ± 6.4 pp, low confidence |
| HealthBench (length-adjusted) | 54.1% | estimated ± 2.2 pp, medium confidence |
| HealthBench Professional | 60.5% | measured |
| HealthBench Professional (raw) | 67.7% | estimated ± 5.0 pp, medium confidence |
| HLE-Verified | 35.4% | estimated ± 6.0 pp, low confidence |
| LABBench2 | 84.1% | estimated ± 2.4 pp, medium confidence |
| MMLU | 89.5% | estimated ± 3.9 pp, medium confidence |
| Agents' Last Exam | 56.9% | estimated ± 6.3 pp, medium confidence |
| OpenHarmony Bench | 58.8% | estimated ± 2.4 pp, medium confidence |
| MRCRv2 | 85.8% | estimated ± 11.3 pp, low confidence |
| SWE-Marathon | 53.1% | measured |