Meta · model
Muse Spark 1.1 benchmark scores
As of 2026-10-07, Muse Spark 1.1 (Meta) has measured scores on 31 benchmarks and estimated scores on 83 more.
| Benchmark | Score | Source |
|---|---|---|
| AA-GPQA Diamond | 89.8% | measured |
| AA-HLE | 46.2% | measured |
| AA-SciCode | 58.8% | measured |
| Artificial Analysis Intelligence Index | 33.7% | measured |
| CritPt | 15.1% | measured |
| GDPval-AA | 35.7% | measured |
| GPQA Diamond | 93.6% | estimated ± 1.0 pp, medium confidence |
| HLE | 62.1% | measured |
| AA-LCR | 77.7% | measured |
| LiveCodeBench v6 | 90.2% | estimated ± 2.1 pp, high confidence |
| AA-Omniscience Accuracy | 52.1% | measured |
| SciCode | 48.5% | estimated ± 2.9 pp, medium confidence |
| Terminal-Bench 2.1 | 80.0% | measured |
| BrowseComp | 80.9% | estimated ± 1.8 pp, low confidence |
| HLE w/ tools | 18.0% | estimated ± 5.0 pp, low confidence |
| LongBench v2 | 61.5% | estimated ± 5.9 pp, medium confidence |
| VITA-Bench | 51.3% | estimated ± 9.9 pp, low confidence |
| τ²-bench results | 92.6% | estimated ± 13.3 pp, low confidence |
| AA Coding Index | 71.3% | measured |
| APEX-Agents | 40.4% | estimated ± 0.6 pp, low confidence |
| APEX-Agents-AA | 35.2% | estimated ± 2.9 pp, medium confidence |
| BioMysteryBench (human-difficult) | 46.5% | estimated ± 5.9 pp, low confidence |
| DeepSearchQA | 84.9% | measured |
| SWE-bench Verified | 83.5% | estimated ± 2.5 pp, high confidence |
| AutomationBench | 28.4% | estimated ± 5.8 pp, low confidence |
| BFCL v4 | 76.0% | estimated ± 2.6 pp, medium confidence |
| CyberGym | 59.0% | measured |
| JobBench | 54.7% | measured |
| SWE-bench Pro | 61.5% | measured |
| τ³-bench results | 69.6% | estimated ± 1.8 pp, low confidence |
| WideResearch | 82.3% | estimated ± 1.2 pp, medium confidence |
| AA Agentic Index | 27.5% | measured |
| MMLU-Pro | 85.9% | estimated ± 2.5 pp, low confidence |
| GPQA | 93.6% | estimated ± 1.0 pp, medium confidence |
| Gert Labs | 69.7% | estimated ± 3.7 pp, medium confidence |
| AA-AnalystAgent | 51.7% | estimated ± 5.5 pp, medium confidence |
| AA EnterpriseOps-Gym | 45.7% | estimated ± 5.9 pp, low confidence |
| AA Harvey LAB | 85.8% | estimated ± 1.2 pp, medium confidence |
| ApprenticeBench | 3.4% | estimated ± 4.0 pp, low confidence |
| ARC-AGI-1 | 96.8% | estimated ± 3.7 pp, high confidence |
| ARC-AGI-2 | 66.2% | estimated ± 12.6 pp, low confidence |
| CursorBench 3.1 | 65.7% | estimated ± 3.4 pp, medium confidence |
| CursorBench 3.2 | 60.0% | estimated ± 3.6 pp, high confidence |
| Terminal-Bench 3.0 | 12.7% | estimated ± 6.9 pp, medium confidence |
| FrontierCode 1.1 Main | 33.0% | estimated ± 3.7 pp, low confidence |
| FrontierSWE v2 | 17.8% | estimated ± 9.0 pp, medium confidence |
| OSWorld-Verified | 80.8% | measured |
| Vals GPQA Diamond | 91.2% | measured |
| Vals LiveCodeBench | 85.9% | measured |
| Vals MMLU-Pro | 88.7% | measured |
| Vals SWE-bench | 82.0% | measured |
| Terminal-Bench 2.1 (Vals AI) | 69.3% | measured |
| VulcanBench v3 | 84.2% | estimated ± 5.6 pp, low confidence |
| AA AutomationBench | 54.9% | estimated ± 5.0 pp, medium confidence |
| GDP.pdf | 18.1% | estimated ± 4.9 pp, high confidence |
| AA ITBench | 56.3% | estimated ± 3.6 pp, low confidence |
| AA Tau3 Banking | 22.0% | estimated ± 5.8 pp, medium confidence |
| AA Terminal-Bench 2.1 | 84.6% | estimated ± 3.5 pp, high confidence |
| AA Terminal-Bench 4.0 | 18.5% | estimated ± 8.9 pp, medium confidence |
| CursorBench 4.0 | 34.2% | estimated ± 1.6 pp, medium confidence |
| CWE-bench v1 | 45.0% | estimated ± 6.9 pp, medium confidence |
| DeepSWE | 53.3% | measured |
| HLE w/o tools | 52.2% | measured |
| OSWorld 2.0 | 14.2% | measured |
| PostTrainBench v1.1 | 26.0% | estimated ± 2.7 pp, high confidence |
| Toolathlon-Verified | 69.8% | estimated ± 1.0 pp, low confidence |
| Vibe Code Bench | 56.1% | estimated ± 10.3 pp, low confidence |
| CharXiv | 88.4% | measured |
| CharXiv w/o tools | 80.5% | estimated ± 2.3 pp, high confidence |
| ExploitGym | 0.8% | measured |
| C-Eval | 93.3% | estimated ± 0.8 pp, low confidence |
| Claw-Eval | 66.2% | estimated ± 5.6 pp, low confidence |
| DeepPlanning | 53.8% | estimated ± 13.1 pp, low confidence |
| MathVision | 93.3% | estimated ± 0.5 pp, medium confidence |
| MCP Atlas | 88.1% | measured |
| MCP-Tasks | 77.1% | estimated ± 0.6 pp, low confidence |
| MMLU-Redux | 97.5% | estimated ± 1.1 pp, low confidence |
| MMMU-Pro | 81.1% | estimated ± 3.2 pp, high confidence |
| NL2Repo | 47.2% | estimated ± 4.7 pp, high confidence |
| QwenClawBench | 73.0% | estimated ± 2.6 pp, medium confidence |
| ScreenSpot Pro | 84.3% | estimated ± 7.1 pp, medium confidence |
| SuperGPQA | 86.5% | estimated ± 7.5 pp, low confidence |
| Terminal-Bench 2.0 | 73.1% | estimated ± 5.9 pp, medium confidence |
| Toolathlon | 75.6% | measured |
| VideoMMMU | 86.8% | estimated ± 1.5 pp, high confidence |
| ERQA | 70.4% | estimated ± 3.7 pp, high confidence |
| HealthBench Hard | 30.5% | estimated ± 7.7 pp, low confidence |
| LiveCodeBench Pro | 84.9% | estimated ± 6.0 pp, low confidence |
| MedXpertQA (MM) | 78.4% | estimated ± 6.4 pp, low confidence |
| MedXpertQA (Text) | 68.9% | estimated ± 8.9 pp, low confidence |
| MMLU-Pro (Arcee) | 100.0% | estimated ± 4.0 pp, low confidence |
| React Native Evals | 84.7% | estimated ± 2.4 pp, medium confidence |
| ResearchClawBench | 19.9% | estimated ± 1.8 pp, low confidence |
| SWE-Rebench | 58.1% | estimated ± 8.9 pp, low confidence |
| ARC-AGI-3 | 1.7% | estimated ± 3.4 pp, high confidence |
| BioMysteryBench (human-solvable) | 87.6% | estimated ± 0.6 pp, medium confidence |
| DRACO | 76.2% | estimated ± 3.0 pp, medium confidence |
| FrontierCode 1.1 Extended | 33.8% | estimated ± 2.4 pp, low confidence |
| HealthBench (raw) | 54.6% | estimated ± 6.4 pp, low confidence |
| HealthBench (length-adjusted) | 52.6% | estimated ± 2.2 pp, low confidence |
| HealthBench Professional | 59.3% | measured |
| HealthBench Professional (raw) | 64.6% | estimated ± 5.0 pp, medium confidence |
| HLE-Verified | 17.2% | estimated ± 2.0 pp, low confidence |
| LABBench2 | 82.4% | estimated ± 1.8 pp, low confidence |
| LiveCodeBench | 100.0% | estimated ± 8.9 pp, low confidence |
| Agents' Last Exam | 24.0% | estimated ± 2.1 pp, medium confidence |
| OpenHarmony Bench | 58.8% | estimated ± 2.4 pp, high confidence |
| BabyVision | 76.3% | measured |
| SimpleVQA | 71.0% | estimated ± 7.8 pp, low confidence |
| MMLU | 95.2% | estimated ± 1.1 pp, low confidence |
| MathVision w/ Python | 83.5% | estimated ± 0.9 pp, low confidence |
| RealWorldQA | 87.0% | estimated ± 1.1 pp, medium confidence |
| Video-MME (with subtitle) | 89.1% | estimated ± 0.9 pp, medium confidence |
| OmniDocBench 1.5 | 89.9% | estimated ± 7.4 pp, low confidence |