Meta · model
Muse Spark benchmark scores
As of 2026-10-07, Muse Spark (Meta) has measured scores on 37 benchmarks and estimated scores on 82 more.
| Benchmark | Score | Source |
|---|---|---|
| AA-GPQA Diamond | 88.4% | measured |
| AA-HLE | 40.7% | measured |
| AA-SciCode | 48.7% | estimated ± 3.2 pp, high confidence |
| AIME26 | 96.4% | estimated ± 0.6 pp, low confidence |
| Artificial Analysis Intelligence Index | 31.3% | measured |
| CritPt | 11.3% | measured |
| GDPval-AA | 25.1% | measured |
| GPQA Diamond | 89.5% | measured |
| HLE | 50.4% | measured |
| IFBench | 74.5% | estimated ± 6.9 pp, medium confidence |
| AA-LCR | 78.0% | measured |
| LiveCodeBench v6 | 85.8% | estimated ± 2.1 pp, high confidence |
| AA-Omniscience Accuracy | 49.6% | measured |
| SciCode | 47.3% | estimated ± 3.8 pp, high confidence |
| BrowseComp | 56.7% | estimated ± 5.2 pp, low confidence |
| HLE w/ tools | 3.5% | estimated ± 5.0 pp, low confidence |
| IFEval | 93.7% | estimated ± 1.3 pp, high confidence |
| LongBench v2 | 61.5% | estimated ± 5.9 pp, medium confidence |
| VITA-Bench | 41.0% | estimated ± 10.7 pp, low confidence |
| τ²-bench results | 91.5% | measured |
| AA Coding Index | 58.6% | measured |
| AA-MMMU-Pro | 80.5% | measured |
| APEX-Agents | 23.0% | estimated ± 10.0 pp, low confidence |
| APEX-Agents-AA | 14.0% | estimated ± 6.0 pp, low confidence |
| BioMysteryBench (human-difficult) | 45.4% | estimated ± 5.9 pp, low confidence |
| DeepSearchQA | 74.8% | measured |
| SWE-bench Verified | 77.4% | measured |
| AutomationBench | 28.4% | estimated ± 5.8 pp, low confidence |
| BFCL v4 | 74.1% | estimated ± 2.6 pp, high confidence |
| CyberGym | 43.5% | measured |
| JobBench | 33.6% | estimated ± 8.4 pp, low confidence |
| SWE-bench Pro | 52.4% | measured |
| WideResearch | 75.7% | estimated ± 9.1 pp, low confidence |
| AA Agentic Index | 15.8% | estimated ± 1.7 pp, high confidence |
| MMLU-Pro | 85.7% | estimated ± 2.5 pp, low confidence |
| FrontierMath v2 (Tier 4) | 14.6% | measured |
| FrontierMath v2 (Tiers 1-3) | 39.0% | measured |
| GPQA | 89.5% | estimated ± 0.1 pp, high confidence |
| AA-IFBench | 75.9% | measured |
| Gert Labs | 54.8% | estimated ± 6.0 pp, low confidence |
| AA-AnalystAgent | 17.5% | estimated ± 12.0 pp, low confidence |
| AA EnterpriseOps-Gym | 40.4% | estimated ± 3.6 pp, medium confidence |
| ApprenticeBench | 3.4% | estimated ± 4.0 pp, low confidence |
| ARC-AGI-1 | 82.1% | estimated ± 1.9 pp, high confidence |
| ARC-AGI-2 | 42.5% | measured |
| CursorBench 3.1 | 47.9% | estimated ± 4.8 pp, low confidence |
| CursorBench 3.2 | 45.4% | estimated ± 3.6 pp, medium confidence |
| FrontierCode 1.1 Main | 16.8% | estimated ± 2.7 pp, low confidence |
| FrontierSWE v2 | 1.6% | estimated ± 9.0 pp, low confidence |
| OfficeQA Pro | 60.4% | estimated ± 7.2 pp, medium confidence |
| OSWorld-Verified | 65.8% | estimated ± 4.7 pp, medium confidence |
| Vals GPQA Diamond | 89.6% | measured |
| Vals LiveCodeBench | 79.8% | estimated ± 4.7 pp, medium confidence |
| Vals MMLU-Pro | 87.3% | measured |
| Vals SWE-bench | 74.4% | measured |
| Terminal-Bench 2.1 (Vals AI) | 51.7% | estimated ± 6.3 pp, medium confidence |
| AA AutomationBench | 4.2% | estimated ± 7.0 pp, medium confidence |
| GDP.pdf | 9.4% | estimated ± 5.4 pp, medium confidence |
| AA ITBench | 47.8% | estimated ± 3.6 pp, medium confidence |
| AA Tau3 Banking | 22.0% | estimated ± 5.8 pp, medium confidence |
| CursorBench 4.0 | 21.7% | estimated ± 1.6 pp, medium confidence |
| CWE-bench v1 | 35.0% | estimated ± 6.9 pp, low confidence |
| DeepSWE | 30.0% | estimated ± 6.4 pp, low confidence |
| HLE w/o tools | 42.8% | measured |
| PostTrainBench v1.1 | 22.6% | estimated ± 3.3 pp, medium confidence |
| Toolathlon-Verified | 61.4% | estimated ± 2.2 pp, low confidence |
| Vibe Code Bench | 19.7% | measured |
| CharXiv | 86.4% | measured |
| CharXiv w/o tools | 84.9% | estimated ± 1.8 pp, medium confidence |
| ExploitGym | 1.5% | estimated ± 9.3 pp, low confidence |
| C-Eval | 93.3% | estimated ± 0.8 pp, low confidence |
| Claw-Eval | 63.8% | measured |
| HMMT Nov 2025 | 93.2% | estimated ± 2.6 pp, low confidence |
| MathVision | 88.9% | estimated ± 1.4 pp, low confidence |
| MCP Atlas | 65.4% | estimated ± 11.1 pp, low confidence |
| MCP-Tasks | 80.4% | estimated ± 6.4 pp, low confidence |
| MMAnswerBench | 85.2% | estimated ± 1.3 pp, low confidence |
| MMLU-Redux | 97.3% | estimated ± 1.1 pp, low confidence |
| MMMU-Pro | 80.4% | measured |
| NL2Repo | 42.7% | estimated ± 4.7 pp, high confidence |
| QwenClawBench | 55.9% | estimated ± 6.0 pp, low confidence |
| ScreenSpot Pro | 84.1% | measured |
| SuperGPQA | 85.5% | estimated ± 7.5 pp, low confidence |
| Terminal-Bench 2.0 | 59.0% | measured |
| Toolathlon | 43.3% | estimated ± 6.3 pp, medium confidence |
| VideoMMMU | 87.0% | estimated ± 1.0 pp, high confidence |
| ERQA | 64.7% | measured |
| HealthBench Hard | 42.8% | measured |
| LiveCodeBench Pro | 80.0% | measured |
| MedXpertQA (MM) | 78.4% | measured |
| MedXpertQA (Text) | 52.6% | measured |
| MMLU-Pro (Arcee) | 86.7% | estimated ± 3.4 pp, low confidence |
| React Native Evals | 72.2% | estimated ± 2.4 pp, medium confidence |
| ResearchClawBench | 17.4% | estimated ± 1.3 pp, high confidence |
| SWE-Rebench | 60.6% | estimated ± 3.6 pp, medium confidence |
| ARC-AGI-3 | 1.7% | estimated ± 3.4 pp, high confidence |
| FrontierMath (legacy) | 39.6% | estimated ± 0.7 pp, low confidence |
| BioMysteryBench (human-solvable) | 84.4% | estimated ± 0.6 pp, low confidence |
| DRACO | 71.8% | estimated ± 3.0 pp, medium confidence |
| FrontierCode 1.1 Extended | 21.6% | estimated ± 2.4 pp, low confidence |
| HealthBench (raw) | 49.7% | estimated ± 6.4 pp, low confidence |
| HealthBench (length-adjusted) | 53.9% | estimated ± 3.7 pp, low confidence |
| HealthBench Professional | 58.8% | estimated ± 1.3 pp, medium confidence |
| HealthBench Professional (raw) | 60.0% | estimated ± 5.0 pp, medium confidence |
| HLE-Verified | 35.3% | estimated ± 0.7 pp, low confidence |
| LABBench2 | 81.6% | estimated ± 1.8 pp, low confidence |
| MMMU | 87.7% | 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 | 51.4% | estimated ± 2.8 pp, high confidence |
| SimpleVQA | 71.3% | measured |
| ZeroBench | 33.0% | measured |
| MMMLU | 89.6% | estimated ± 1.1 pp, medium confidence |
| MMLU | 94.9% | estimated ± 1.1 pp, low confidence |
| MMMU-Pro w/ Python | 81.7% | estimated ± 0.6 pp, high confidence |
| MathVision w/ Python | 77.4% | estimated ± 0.9 pp, low confidence |
| RealWorldQA | 85.4% | estimated ± 1.1 pp, medium confidence |
| Video-MME (with subtitle) | 88.7% | estimated ± 0.9 pp, medium confidence |
| OmniDocBench 1.5 | 91.7% | estimated ± 5.9 pp, low confidence |