Meta · model
Muse Spark 1.2 benchmark scores
As of 2026-10-07, Muse Spark 1.2 (Meta) has measured scores on 17 benchmarks and estimated scores on 72 more.
| Benchmark | Score | Source |
|---|---|---|
| AA-GPQA Diamond | 90.4% | measured |
| AA-HLE | 45.5% | measured |
| AA-SciCode | 57.4% | measured |
| Artificial Analysis Intelligence Index | 39.6% | measured |
| CritPt | 17.7% | measured |
| GDPval-AA | 48.9% | measured |
| GPQA Diamond | 91.8% | estimated ± 2.0 pp, high confidence |
| HLE | 50.2% | estimated ± 9.5 pp, medium confidence |
| AA-LCR | 79.0% | measured |
| LiveCodeBench v6 | 92.5% | estimated ± 3.1 pp, high confidence |
| AA-Omniscience Accuracy | 45.4% | measured |
| SciCode | 56.9% | estimated ± 3.2 pp, high confidence |
| Terminal-Bench 2.1 | 82.9% | measured |
| BrowseComp | 84.9% | estimated ± 9.0 pp, medium confidence |
| HLE w/ tools | 56.7% | estimated ± 6.1 pp, medium confidence |
| LongBench v2 | 61.5% | estimated ± 5.9 pp, low confidence |
| τ²-bench results | 94.2% | estimated ± 13.3 pp, low confidence |
| AA Coding Index | 72.2% | measured |
| APEX-Agents | 40.4% | estimated ± 10.0 pp, low confidence |
| APEX-Agents-AA | 36.4% | estimated ± 9.1 pp, medium confidence |
| BioMysteryBench (human-difficult) | 43.6% | estimated ± 5.9 pp, low confidence |
| DeepSearchQA | 92.5% | estimated ± 4.5 pp, high confidence |
| SWE-bench Verified | 84.9% | estimated ± 4.5 pp, high confidence |
| AutomationBench | 29.0% | estimated ± 9.7 pp, low confidence |
| BFCL v4 | 77.4% | estimated ± 2.6 pp, medium confidence |
| CyberGym | 79.3% | estimated ± 5.3 pp, medium confidence |
| JobBench | 50.6% | estimated ± 8.6 pp, medium confidence |
| SWE-bench Pro | 60.2% | estimated ± 5.1 pp, medium confidence |
| WideResearch | 98.8% | estimated ± 9.1 pp, low confidence |
| AA Agentic Index | 44.0% | measured |
| MMLU-Pro | 85.7% | estimated ± 3.5 pp, high confidence |
| GPQA | 92.0% | estimated ± 1.6 pp, high confidence |
| Gert Labs | 75.9% | estimated ± 8.5 pp, low confidence |
| AA-AnalystAgent | 39.5% | estimated ± 12.0 pp, low confidence |
| AA EnterpriseOps-Gym | 44.8% | estimated ± 6.7 pp, low confidence |
| AA Harvey LAB | 92.9% | estimated ± 1.2 pp, medium confidence |
| ARC-AGI-1 | 93.0% | estimated ± 5.4 pp, medium confidence |
| ARC-AGI-2 | 66.8% | estimated ± 13.0 pp, low confidence |
| CursorBench 3.1 | 62.2% | estimated ± 3.4 pp, medium confidence |
| CursorBench 3.2 | 67.1% | estimated ± 3.3 pp, medium confidence |
| Terminal-Bench 3.0 | 13.1% | estimated ± 6.9 pp, medium confidence |
| FrontierCode 1.1 Main | 38.2% | estimated ± 3.7 pp, low confidence |
| FrontierSWE v2 | 12.0% | measured |
| OSWorld-Verified | 81.2% | estimated ± 8.7 pp, low confidence |
| Vals GPQA Diamond | 90.0% | estimated ± 3.8 pp, high confidence |
| Vals MMLU-Pro | 88.3% | measured |
| Vals SWE-bench | 86.6% | measured |
| Terminal-Bench 2.1 (Vals AI) | 69.7% | measured |
| VulcanBench v3 | 87.0% | measured |
| AA AutomationBench | 60.0% | estimated ± 7.0 pp, medium confidence |
| GDP.pdf | 22.5% | estimated ± 5.4 pp, medium confidence |
| AA Tau3 Banking | 47.5% | estimated ± 5.8 pp, medium confidence |
| AA Terminal-Bench 2.1 | 84.8% | estimated ± 3.5 pp, high confidence |
| AA Terminal-Bench 4.0 | 22.1% | estimated ± 8.9 pp, medium confidence |
| CursorBench 4.0 | 35.4% | estimated ± 1.6 pp, high confidence |
| CWE-bench v1 | 55.1% | estimated ± 6.9 pp, medium confidence |
| DeepSWE | 59.3% | measured |
| HLE w/o tools | 44.6% | estimated ± 5.1 pp, medium confidence |
| PostTrainBench v1.1 | 29.1% | estimated ± 3.3 pp, high confidence |
| Toolathlon-Verified | 70.7% | estimated ± 2.3 pp, medium confidence |
| Vibe Code Bench | 58.7% | estimated ± 10.3 pp, low confidence |
| ExploitGym | 20.3% | estimated ± 12.2 pp, low confidence |
| C-Eval | 95.6% | estimated ± 1.0 pp, low confidence |
| Claw-Eval | 81.6% | estimated ± 13.6 pp, low confidence |
| MCP Atlas | 78.7% | estimated ± 7.8 pp, low confidence |
| MMLU-Redux | 97.1% | estimated ± 1.1 pp, low confidence |
| NL2Repo | 50.8% | estimated ± 4.7 pp, high confidence |
| QwenClawBench | 100.0% | estimated ± 6.0 pp, low confidence |
| SuperGPQA | 83.8% | estimated ± 7.5 pp, medium confidence |
| Terminal-Bench 2.0 | 73.3% | estimated ± 5.9 pp, medium confidence |
| Toolathlon | 55.9% | estimated ± 6.3 pp, medium confidence |
| HealthBench Hard | 33.3% | estimated ± 7.7 pp, low confidence |
| MMLU-Pro (Arcee) | 100.0% | estimated ± 4.0 pp, low confidence |
| React Native Evals | 93.1% | estimated ± 2.4 pp, low confidence |
| ResearchClawBench | 20.5% | estimated ± 2.0 pp, medium 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) | 88.7% | estimated ± 0.6 pp, medium confidence |
| DRACO | 81.6% | estimated ± 3.0 pp, medium confidence |
| FrontierCode 1.1 Extended | 42.3% | estimated ± 2.4 pp, low confidence |
| HealthBench (raw) | 54.0% | estimated ± 6.4 pp, low confidence |
| HealthBench (length-adjusted) | 53.9% | estimated ± 3.7 pp, medium confidence |
| HealthBench Professional | 59.6% | estimated ± 1.3 pp, medium confidence |
| HealthBench Professional (raw) | 64.0% | estimated ± 5.0 pp, medium confidence |
| HLE-Verified | 20.8% | estimated ± 2.0 pp, low confidence |
| LABBench2 | 82.2% | estimated ± 1.8 pp, low confidence |
| LiveCodeBench | 100.0% | estimated ± 8.9 pp, low confidence |
| OpenHarmony Bench | 58.8% | estimated ± 2.4 pp, high confidence |
| MMLU | 94.3% | estimated ± 1.1 pp, low confidence |