Other · model
Apodex 1.1 Mini benchmark scores
As of 2026-10-07, Apodex 1.1 Mini (Other) has measured scores on 12 benchmarks and estimated scores on 81 more.
| Benchmark | Score | Source |
|---|---|---|
| AA-GPQA Diamond | 86.4% | measured |
| AA-HLE | 34.1% | measured |
| AA-SciCode | 45.5% | measured |
| Artificial Analysis Intelligence Index | 26.4% | measured |
| CritPt | 4.6% | measured |
| GDPval-AA | 34.8% | measured |
| GPQA Diamond | 88.8% | estimated ± 2.2 pp, high confidence |
| HLE | 36.7% | estimated ± 9.5 pp, medium confidence |
| AA-LCR | 79.3% | measured |
| LiveCodeBench v6 | 89.2% | estimated ± 3.1 pp, high confidence |
| AA-Omniscience Accuracy | 31.7% | measured |
| SciCode | 45.3% | estimated ± 3.2 pp, high confidence |
| BrowseComp | 85.6% | estimated ± 3.4 pp, high confidence |
| HLE w/ tools | 49.4% | estimated ± 6.1 pp, medium confidence |
| LongBench v2 | 61.5% | estimated ± 5.9 pp, low confidence |
| τ²-bench results | 95.2% | estimated ± 7.3 pp, medium confidence |
| AA Coding Index | 60.8% | measured |
| AA-MMMU-Pro | 79.2% | measured |
| APEX-Agents | 27.7% | measured |
| APEX-Agents-AA | 31.2% | measured |
| BioMysteryBench (human-difficult) | 36.1% | estimated ± 5.9 pp, low confidence |
| DeepSearchQA | 88.8% | estimated ± 8.4 pp, medium confidence |
| SWE-bench Verified | 81.8% | estimated ± 5.5 pp, medium confidence |
| AutomationBench | 28.4% | estimated ± 9.7 pp, low confidence |
| BFCL v4 | 75.9% | estimated ± 2.6 pp, medium confidence |
| CyberGym | 65.8% | estimated ± 6.2 pp, medium confidence |
| JobBench | 38.7% | estimated ± 8.2 pp, low confidence |
| SWE-bench Pro | 58.7% | estimated ± 6.0 pp, medium confidence |
| WideResearch | 86.0% | estimated ± 9.1 pp, low confidence |
| AA Agentic Index | 29.4% | estimated ± 2.8 pp, high confidence |
| MMLU-Pro | 85.7% | estimated ± 3.5 pp, high confidence |
| GPQA | 89.1% | estimated ± 3.2 pp, high confidence |
| Gert Labs | 58.3% | estimated ± 8.9 pp, medium confidence |
| AA-AnalystAgent | 25.7% | estimated ± 12.0 pp, low confidence |
| AA EnterpriseOps-Gym | 37.0% | estimated ± 6.7 pp, low confidence |
| ApprenticeBench | 7.0% | estimated ± 5.0 pp, low confidence |
| ARC-AGI-1 | 78.8% | estimated ± 5.4 pp, medium confidence |
| ARC-AGI-2 | 39.2% | estimated ± 14.2 pp, low confidence |
| CursorBench 3.1 | 32.9% | estimated ± 3.4 pp, low confidence |
| CursorBench 3.2 | 46.0% | estimated ± 4.4 pp, high confidence |
| FrontierCode 1.1 Main | 30.0% | estimated ± 3.8 pp, high confidence |
| FrontierSWE v2 | 0.0% | estimated ± 14.6 pp, low confidence |
| OfficeQA Pro | 51.9% | estimated ± 7.2 pp, medium confidence |
| OSWorld-Verified | 73.8% | estimated ± 8.7 pp, low confidence |
| Vals GPQA Diamond | 82.4% | estimated ± 7.4 pp, medium confidence |
| Vals MMLU-Pro | 85.3% | estimated ± 2.2 pp, high confidence |
| Vals SWE-bench | 78.2% | estimated ± 5.4 pp, medium confidence |
| AA AutomationBench | 11.4% | estimated ± 7.0 pp, medium confidence |
| GDP.pdf | 9.4% | estimated ± 5.4 pp, medium confidence |
| AA Tau3 Banking | 22.0% | estimated ± 5.8 pp, medium confidence |
| CursorBench 4.0 | 23.4% | estimated ± 1.6 pp, medium confidence |
| CWE-bench v1 | 44.3% | estimated ± 6.9 pp, medium confidence |
| DeepSWE | 34.7% | estimated ± 6.4 pp, low confidence |
| HLE w/o tools | 31.6% | estimated ± 5.7 pp, medium confidence |
| PostTrainBench v1.1 | 16.0% | estimated ± 6.1 pp, low confidence |
| Toolathlon-Verified | 59.6% | estimated ± 2.4 pp, high confidence |
| Vibe Code Bench | 34.7% | estimated ± 10.3 pp, low confidence |
| CharXiv | 85.6% | estimated ± 7.5 pp, low confidence |
| CharXiv w/o tools | 82.2% | estimated ± 2.4 pp, high confidence |
| C-Eval | 93.3% | estimated ± 1.0 pp, medium confidence |
| MathVision | 89.7% | estimated ± 4.9 pp, high confidence |
| MCP Atlas | 73.3% | estimated ± 0.7 pp, medium confidence |
| MMLU-Redux | 95.7% | estimated ± 1.1 pp, medium confidence |
| MMMU-Pro | 78.8% | estimated ± 4.4 pp, medium confidence |
| NL2Repo | 44.5% | estimated ± 5.1 pp, medium confidence |
| QwenClawBench | 99.4% | estimated ± 6.0 pp, low confidence |
| ScreenSpot Pro | 78.2% | estimated ± 10.7 pp, low confidence |
| SuperGPQA | 75.9% | estimated ± 7.5 pp, medium confidence |
| Toolathlon | 55.8% | estimated ± 6.3 pp, medium confidence |
| ERQA | 68.1% | estimated ± 3.9 pp, high confidence |
| HealthBench Hard | 20.8% | estimated ± 7.7 pp, low confidence |
| MedXpertQA (MM) | 76.6% | estimated ± 6.5 pp, low confidence |
| MMLU-Pro (Arcee) | 94.4% | estimated ± 4.0 pp, low confidence |
| React Native Evals | 79.3% | estimated ± 3.5 pp, high confidence |
| ResearchClawBench | 17.9% | estimated ± 2.2 pp, medium confidence |
| SWE-Rebench | 58.1% | estimated ± 8.9 pp, low confidence |
| ARC-AGI-3 | 1.7% | estimated ± 3.4 pp, medium confidence |
| BioMysteryBench (human-solvable) | 81.8% | estimated ± 0.6 pp, low confidence |
| DRACO | 75.8% | estimated ± 3.0 pp, medium confidence |
| FrontierCode 1.1 Extended | 51.1% | estimated ± 3.4 pp, low confidence |
| HealthBench (raw) | 43.4% | estimated ± 6.4 pp, low confidence |
| HealthBench (length-adjusted) | 53.9% | estimated ± 3.7 pp, low confidence |
| HealthBench Professional | 57.7% | estimated ± 4.8 pp, low confidence |
| HealthBench Professional (raw) | 54.2% | estimated ± 5.0 pp, low confidence |
| HLE-Verified | 15.3% | estimated ± 2.0 pp, low confidence |
| LABBench2 | 71.6% | estimated ± 1.8 pp, low confidence |
| MMMU | 86.6% | estimated ± 0.9 pp, medium confidence |
| LiveCodeBench | 100.0% | estimated ± 8.9 pp, low confidence |
| OpenHarmony Bench | 51.0% | estimated ± 2.4 pp, high confidence |
| MMLU | 91.4% | estimated ± 1.1 pp, medium confidence |
| MMMU-Pro w/ Python | 81.3% | estimated ± 1.6 pp, high confidence |
| RealWorldQA | 87.2% | estimated ± 1.2 pp, medium confidence |
| OmniDocBench 1.5 | 92.0% | estimated ± 6.4 pp, low confidence |