| Benchmark | GPT-5.1 | Qwen3.5 35B A3B |
|---|---|---|
| AA Agentic Index | 32.2 | 44.1 |
| AA Intelligence | 37.5 | 29.9 |
| AA-LCR | 76.7 | 68.3 |
| AA-Omniscience | 5.4 | -48.1 |
| Artificial Analysis Coding Index | 49.4 | 37 |
| browsecomp | 50.8 | 61 |
| coding_arena_elo | 1421 | 1250 |
| critpt | 4.9 | 0.9 |
| gdpval | 25 | 20.3 |
| GPQA Diamond | 88.1 | 84.5 |
| HLE | 28.5 | 47.4 |
| hmmt_feb_2025 | 96.3 | 89 |
| hmmt_nov_2025 | 91.7 | 89.2 |
| IFBench | 72.9 | 72.5 |
| LiveCodeBench v6 | 87 | 74.6 |
| MCP Atlas | 50.1 | 62.4 |
| MMLU-Pro | 87 | 85.3 |
| mmmlu | 91 | 85.2 |
| MMMU | 85.4 | 81.4 |
| MMMU-Pro | 75.5 | 75.1 |
| multichallenge | 63.4 | 60 |
| OmniScience Accuracy | 37.7 | 20.1 |
| OmniScience Non-Hallucination | 48.1 | 14.6 |
| scicode | 43.3 | 37.7 |
| SWE-bench Verified | 76.3 | 70 |
| TauBench V3 - Banking | 15.9 | 4.9 |
| Terminal-Bench 2.0 | 47.6 | 40.5 |
| Terminal-Bench 2.1 | 52.4 | 40.8 |
| Terminal-Bench Hard | 45.5 | 26.5 |
| vectara_answer_rate | 100 | 99.8 |
| vectara_avg_summary_length | 254.4 | 94.9 |
| vectara_factual_consistency | 89.1 | 89.5 |
| vectara_hallucination_rate ↓ | 12.1 | 10.5 |
| τ²-Bench Telecom (AA run) | 81.9 | 89.2 |
| τ³-Bench | 14 | 68.9 |
Best tracked score per model per benchmark (default configuration; source-attributed). ↓ marks lower-is-better metrics. Open either model for its full surface, provenance and pricing.