| Benchmark | Gemini 2.5 Pro | Qwen3.5 35B A3B |
|---|---|---|
| AA Agentic Index | 7.2 | 44.1 |
| AA Intelligence | 27 | 29.9 |
| AA-LCR | 66 | 68.3 |
| AA-Omniscience | -14.3 | -48.1 |
| Artificial Analysis Coding Index | 46.7 | 37 |
| browsecomp | 9.9 | 61 |
| browsecomp_zh | 32.2 | 69.5 |
| coding_arena_elo | 1224 | 1250 |
| critpt | 2.6 | 0.9 |
| gdpval | 8.5 | 20.3 |
| GPQA Diamond | 84.4 | 84.5 |
| HLE | 22.5 | 47.4 |
| HMMT 2025 | 65.7 | 89.2 |
| hmmt_feb_2025 | 82.5 | 89 |
| hmmt_nov_2025 | 80 | 89.2 |
| IFBench | 49 | 72.5 |
| mathvision | 73.3 | 83.9 |
| MathVista | 83.9 | 86.2 |
| MMLU-Pro | 86 | 85.3 |
| MMMU | 83.9 | 81.4 |
| MMMU-Pro | 74.9 | 75.1 |
| MMStar | 79.2 | 81.9 |
| multichallenge | 53.6 | 60 |
| OCRBench | 85.9 | 91 |
| ocrbench_v2 | 59.3 | 65.3 |
| OmniScience Accuracy | 39 | 20.1 |
| OmniScience Non-Hallucination | 12.6 | 14.6 |
| scicode | 43 | 37.7 |
| SWE-bench Verified | 67.2 | 70 |
| TauBench V3 - Banking | 9.7 | 4.9 |
| Terminal-Bench 2.1 | 28.5 | 40.8 |
| Terminal-Bench Hard | 26.5 | 26.5 |
| vectara_answer_rate | 99.1 | 99.8 |
| vectara_avg_summary_length | 106.4 | 94.9 |
| vectara_factual_consistency | 93 | 89.5 |
| vectara_hallucination_rate ↓ | 7 | 10.5 |
| τ²-Bench Telecom (AA run) | 54.1 | 89.2 |
| τ³-Bench | 9.3 | 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.