Other · model
Laguna M.1 benchmark scores
As of 2026-10-07, Laguna M.1 (Other) has measured scores on 9 benchmarks and estimated scores on 41 more.
| Benchmark | Score | Source |
|---|---|---|
| AA-GPQA Diamond | 68.7% | estimated ± 4.2 pp, medium confidence |
| AA-HLE | 10.7% | estimated ± 7.4 pp, low confidence |
| AA-SciCode | 44.7% | estimated ± 3.8 pp, high confidence |
| Artificial Analysis Intelligence Index | 16.8% | estimated ± 7.9 pp, low confidence |
| CritPt | 2.6% | estimated ± 6.6 pp, low confidence |
| GPQA Diamond | 39.9% | estimated ± 1.7 pp, medium confidence |
| HLE | 15.4% | estimated ± 9.8 pp, low confidence |
| LiveCodeBench v6 | 84.5% | estimated ± 2.1 pp, high confidence |
| AA-Omniscience Accuracy | 21.7% | estimated ± 7.7 pp, low confidence |
| SciCode | 17.3% | estimated ± 2.9 pp, low confidence |
| Terminal-Bench 2.1 | 16.9% | estimated ± 6.9 pp, low confidence |
| AA Coding Index | 49.6% | estimated ± 5.1 pp, medium confidence |
| SWE-bench Verified | 74.6% | measured |
| SWE-bench Pro | 49.2% | measured |
| GPQA | 73.4% | estimated ± 1.6 pp, medium confidence |
| ARC-AGI-1 | 0.2% | estimated ± 5.9 pp, low confidence |
| ARC-AGI-2 | 0.0% | estimated ± 12.6 pp, low confidence |
| CursorBench 3.1 | 47.1% | estimated ± 5.6 pp, low confidence |
| CursorBench 3.2 | 38.4% | estimated ± 3.6 pp, medium confidence |
| Terminal-Bench 3.0 | 0.2% | estimated ± 6.9 pp, low confidence |
| FrontierCode 1.1 Main | 9.9% | estimated ± 2.7 pp, low confidence |
| FrontierSWE v2 | 0.0% | estimated ± 9.0 pp, low confidence |
| Vals GPQA Diamond | 27.0% | measured |
| Vals LiveCodeBench | 68.1% | measured |
| Vals MMLU-Pro | 68.8% | measured |
| Vals SWE-bench | 57.6% | measured |
| Terminal-Bench 2.1 (Vals AI) | 34.1% | measured |
| VulcanBench v3 | 77.6% | estimated ± 5.6 pp, low confidence |
| AA Terminal-Bench 2.1 | 14.0% | estimated ± 4.4 pp, medium confidence |
| AA Terminal-Bench 4.0 | 0.0% | estimated ± 14.0 pp, low confidence |
| CursorBench 4.0 | 27.2% | estimated ± 3.6 pp, medium confidence |
| DeepSWE | 56.3% | estimated ± 7.2 pp, low confidence |
| HLE w/o tools | 25.1% | estimated ± 5.1 pp, low confidence |
| PostTrainBench v1.1 | 16.5% | estimated ± 2.7 pp, high confidence |
| SWE Multilingual | 63.1% | measured |
| Vibe Code Bench | 2.7% | estimated ± 8.1 pp, medium confidence |
| MMLU-ProX | 80.1% | estimated ± 1.7 pp, low confidence |
| NL2Repo | 37.5% | estimated ± 4.7 pp, medium confidence |
| NOVA-63 | 51.6% | estimated ± 1.6 pp, low confidence |
| Terminal-Bench 2.0 | 45.8% | measured |
| LiveCodeBench Pro | 74.6% | estimated ± 6.0 pp, low confidence |
| React Native Evals | 49.3% | estimated ± 2.4 pp, low confidence |
| SWE-Rebench | 57.1% | estimated ± 3.6 pp, medium confidence |
| ARC-AGI-3 | 0.0% | estimated ± 9.2 pp, low confidence |
| FrontierCode 1.1 Extended | 5.4% | estimated ± 2.4 pp, low confidence |
| HealthBench Professional | 49.8% | estimated ± 1.3 pp, low confidence |
| HLE-Verified | 0.0% | estimated ± 4.6 pp, low confidence |
| LABBench2 | 70.4% | estimated ± 1.8 pp, low confidence |
| LiveCodeBench | 83.1% | estimated ± 10.2 pp, low confidence |
| OpenHarmony Bench | 47.3% | estimated ± 3.2 pp, medium confidence |