Other · model
OrcaCyber-Nano-1.0 benchmark scores
As of 2026-10-29, OrcaCyber-Nano-1.0 (Other) has measured scores on 6 benchmarks and estimated scores on 27 more.
| Benchmark | Score | Source |
|---|---|---|
| AA-GPQA Diamond | 87.6% | estimated ± 4.4 pp, high confidence |
| AA-HLE | 31.0% | estimated ± 3.8 pp, high confidence |
| AIME26 | 95.6% | estimated ± 4.6 pp, medium confidence |
| CritPt | 7.8% | estimated ± 4.6 pp, high confidence |
| GPQA Diamond | 88.3% | measured |
| HLE | 32.8% | estimated ± 7.3 pp, medium confidence |
| IFBench | 56.3% | measured |
| Terminal-Bench 2.1 | 72.5% | measured |
| IFEval | 82.8% | measured |
| MMLU-Pro | 86.6% | estimated ± 5.5 pp, medium confidence |
| AA-IFBench | 56.7% | estimated ± 7.4 pp, medium confidence |
| AIME 2024 | 95.1% | estimated ± 2.6 pp, medium confidence |
| Artificial Analysis Intelligence Index | 25.1% | estimated ± 10.6 pp, low confidence |
| GPQA | 88.2% | estimated ± 1.2 pp, high confidence |
| AA-Omniscience Accuracy | 30.3% | estimated ± 8.7 pp, medium confidence |
| MATH-500 | 98.6% | measured |
| MMMLU | 89.2% | estimated ± 1.1 pp, medium confidence |
| AIME 2025 | 96.2% | measured |
| AA Terminal-Bench 2.1 | 75.9% | estimated ± 6.8 pp, medium confidence |
| ARC-AGI-1 | 86.3% | estimated ± 2.7 pp, high confidence |
| ARC-AGI-2 | 49.3% | estimated ± 10.1 pp, low confidence |
| Terminal-Bench 3.0 | 9.1% | estimated ± 9.1 pp, low confidence |
| Vals GPQA Diamond | 87.5% | estimated ± 2.0 pp, high confidence |
| Vals MMLU-Pro | 85.7% | estimated ± 1.6 pp, high confidence |
| Terminal-Bench 2.1 (Vals AI) | 62.0% | estimated ± 7.4 pp, medium confidence |
| AA Terminal-Bench 4.0 | 10.6% | estimated ± 11.6 pp, low confidence |
| HLE w/o tools | 29.9% | estimated ± 4.3 pp, high confidence |
| ARC-AGI-3 | 0.0% | estimated ± 3.6 pp, medium confidence |
| HMMT Feb 2025 | 96.9% | estimated ± 3.1 pp, medium confidence |
| MMLU-Redux | 92.3% | estimated ± 2.8 pp, high confidence |
| SuperGPQA | 73.6% | estimated ± 13.9 pp, low confidence |
| MedXpertQA (Text) | 49.0% | estimated ± 4.5 pp, low confidence |
| MMLU-Pro (Arcee) | 86.3% | estimated ± 3.4 pp, medium confidence |