Meta · model
Muse Spark 1.3 benchmark scores
As of 2026-10-07, Muse Spark 1.3 (Meta) has measured scores on 26 benchmarks and estimated scores on 70 more.
| Benchmark | Score | Source |
|---|---|---|
| AA-GPQA Diamond | 93.5% | measured |
| AA-HLE | 48.7% | measured |
| AA-SciCode | 58.8% | measured |
| Artificial Analysis Intelligence Index | 48.1% | measured |
| CritPt | 24.9% | measured |
| GDPval-AA | 59.2% | measured |
| GPQA Diamond | 94.5% | estimated ± 2.2 pp, high confidence |
| HLE | 54.4% | estimated ± 9.5 pp, medium confidence |
| AA-LCR | 83.0% | measured |
| LiveCodeBench v6 | 93.4% | estimated ± 3.1 pp, medium confidence |
| AA-Omniscience Accuracy | 43.6% | measured |
| SciCode | 58.2% | estimated ± 3.2 pp, high confidence |
| Terminal-Bench 2.1 | 88.8% | measured |
| BrowseComp | 91.1% | estimated ± 2.2 pp, high confidence |
| HLE w/ tools | 73.5% | estimated ± 4.6 pp, low confidence |
| LongBench v2 | 61.5% | estimated ± 5.9 pp, low confidence |
| τ²-bench results | 99.9% | estimated ± 4.8 pp, low confidence |
| AA Coding Index | 75.8% | measured |
| APEX-Agents | 46.9% | estimated ± 10.0 pp, low confidence |
| APEX-Agents-AA | 38.8% | estimated ± 2.9 pp, low confidence |
| BioMysteryBench (human-difficult) | 42.7% | estimated ± 5.9 pp, low confidence |
| DeepSearchQA | 89.4% | measured |
| SWE-bench Verified | 94.3% | estimated ± 5.2 pp, low confidence |
| AutomationBench | 49.4% | measured |
| BFCL v4 | 78.1% | estimated ± 2.6 pp, medium confidence |
| CyberGym | 88.0% | estimated ± 3.7 pp, high confidence |
| JobBench | 64.9% | measured |
| SWE-bench Pro | 69.6% | estimated ± 4.3 pp, high confidence |
| WideResearch | 84.5% | estimated ± 1.2 pp, low confidence |
| AA Agentic Index | 55.7% | measured |
| MMLU-Pro | 85.7% | estimated ± 3.5 pp, high confidence |
| GPQA | 92.6% | estimated ± 3.2 pp, high confidence |
| Gert Labs | 71.5% | estimated ± 3.0 pp, medium confidence |
| AA-AnalystAgent | 54.4% | estimated ± 5.5 pp, medium confidence |
| AA EnterpriseOps-Gym | 51.9% | estimated ± 4.4 pp, medium confidence |
| AA Harvey LAB | 93.7% | estimated ± 1.2 pp, medium confidence |
| ApprenticeBench | 19.0% | measured |
| ARC-AGI-1 | 94.4% | estimated ± 5.4 pp, medium confidence |
| ARC-AGI-2 | 80.9% | estimated ± 14.2 pp, low confidence |
| CursorBench 3.1 | 65.7% | estimated ± 3.4 pp, medium confidence |
| CursorBench 3.2 | 67.6% | estimated ± 2.2 pp, high confidence |
| Terminal-Bench 3.0 | 15.9% | estimated ± 6.9 pp, medium confidence |
| FrontierCode 1.1 Main | 54.9% | estimated ± 3.7 pp, low confidence |
| FrontierSWE v2 | 27.9% | estimated ± 7.6 pp, medium confidence |
| OSWorld-Verified | 79.3% | estimated ± 1.9 pp, medium confidence |
| Vals GPQA Diamond | 95.2% | estimated ± 7.4 pp, medium confidence |
| Vals LiveCodeBench | 86.8% | estimated ± 2.7 pp, low confidence |
| Vals MMLU-Pro | 87.5% | estimated ± 2.2 pp, high confidence |
| Vals SWE-bench | 89.3% | estimated ± 5.4 pp, medium confidence |
| Terminal-Bench 2.1 (Vals AI) | 72.3% | measured |
| VulcanBench v3 | 87.0% | estimated ± 0.7 pp, medium confidence |
| AA AutomationBench | 57.9% | measured |
| GDP.pdf | 26.6% | measured |
| AA ITBench | 33.2% | measured |
| AA Tau3 Banking | 50.5% | measured |
| AA Terminal-Bench 2.1 | 84.3% | measured |
| AA Terminal-Bench 4.0 | 33.3% | measured |
| CursorBench 4.0 | 41.6% | measured |
| CWE-bench v1 | 55.0% | measured |
| DeepSWE | 75.4% | measured |
| HLE w/o tools | 49.4% | estimated ± 5.7 pp, medium confidence |
| OSWorld 2.0 | 66.9% | measured |
| PostTrainBench v1.1 | 43.9% | estimated ± 4.8 pp, high confidence |
| Terminal-Bench 4.0 | 37.0% | estimated ± 5.1 pp, medium confidence |
| Terminal-Bench-Science 0.1 | 14.4% | estimated ± 4.1 pp, low confidence |
| Toolathlon-Verified | 79.7% | estimated ± 1.0 pp, medium confidence |
| Vibe Code Bench | 70.9% | estimated ± 10.3 pp, low confidence |
| ExploitGym | 24.9% | estimated ± 5.0 pp, low confidence |
| C-Eval | 96.4% | estimated ± 1.0 pp, low confidence |
| Claw-Eval | 66.2% | estimated ± 5.6 pp, low confidence |
| MCP Atlas | 85.0% | estimated ± 2.7 pp, medium confidence |
| MMLU-Redux | 96.9% | estimated ± 1.1 pp, low confidence |
| NL2Repo | 56.2% | estimated ± 5.1 pp, low confidence |
| QwenClawBench | 100.0% | estimated ± 6.0 pp, low confidence |
| SuperGPQA | 83.0% | estimated ± 7.5 pp, medium confidence |
| Terminal-Bench 2.0 | 75.0% | estimated ± 5.9 pp, medium confidence |
| Toolathlon | 55.6% | estimated ± 1.7 pp, medium confidence |
| HealthBench Hard | 34.7% | estimated ± 7.7 pp, low confidence |
| MMLU-Pro (Arcee) | 100.0% | estimated ± 4.0 pp, low confidence |
| React Native Evals | 83.1% | estimated ± 3.5 pp, medium confidence |
| ResearchClawBench | 21.4% | 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) | 89.4% | estimated ± 0.6 pp, medium confidence |
| DRACO | 85.8% | estimated ± 3.0 pp, medium confidence |
| FrontierCode 1.1 Extended | 59.5% | estimated ± 3.0 pp, medium confidence |
| HealthBench (raw) | 56.7% | estimated ± 6.4 pp, low confidence |
| HealthBench (length-adjusted) | 54.4% | estimated ± 3.7 pp, medium confidence |
| HealthBench Professional | 60.2% | estimated ± 4.8 pp, medium confidence |
| HealthBench Professional (raw) | 66.6% | estimated ± 5.0 pp, medium confidence |
| HLE-Verified | 54.1% | estimated ± 2.0 pp, medium confidence |
| LABBench2 | 82.7% | estimated ± 1.8 pp, low confidence |
| LiveCodeBench | 100.0% | estimated ± 8.9 pp, low confidence |
| Agents' Last Exam | 51.4% | estimated ± 6.3 pp, medium confidence |
| OpenHarmony Bench | 58.8% | estimated ± 2.4 pp, high confidence |
| MMLU | 94.0% | estimated ± 1.1 pp, low confidence |