| Benchmark | GPT-5 | Qwen3.5 27B |
|---|---|---|
| AA Agentic Index | 49.7 | 54.6 |
| AA Intelligence | 35.3 | 34.6 |
| AA-LCR | 76.3 | 72.3 |
| AA-Omniscience | -8.7 | -44 |
| arena_vision | 1212 | 1221 |
| Artificial Analysis Coding Index | 38.9 | 34.9 |
| browsecomp | 54.9 | 61 |
| browsecomp_zh | 65 | 62.1 |
| coding_arena_elo | 1419 | 1357 |
| critpt | 5.7 | 0.9 |
| ERQA | 65.7 | 60.5 |
| gdpval | 32.5 | 33 |
| GPQA Diamond | 87.3 | 85.8 |
| HLE | 28.5 | 48.5 |
| HMMT 2025 | 93.3 | 89.8 |
| hmmt_feb_2025 | 88.3 | 92 |
| hmmt_nov_2025 | 89.2 | 89.8 |
| IFBench | 73.1 | 76.5 |
| imo_answer_bench | 76 | 79.9 |
| LiveCodeBench v6 | 87 | 80.7 |
| mmlu_redux | 95.3 | 93.2 |
| MMLU-Pro | 87.5 | 86.1 |
| MMMU | 84.2 | 82.3 |
| MMMU-Pro | 78.4 | 75 |
| multichallenge | 71.1 | 60.8 |
| OmniScience Accuracy | 40.3 | 20.7 |
| OmniScience Non-Hallucination | 21 | 24.9 |
| scicode | 43 | 39.5 |
| Seal-0 | 51.4 | 47.2 |
| SWE-bench Multilingual | 55.3 | 69.3 |
| SWE-bench Pro | 41.8 | 51.2 |
| SWE-bench Verified | 74.9 | 75 |
| Terminal-Bench 2.0 | 35.2 | 41.6 |
| Terminal-Bench Hard | 37.9 | 32.6 |
| vectara_answer_rate | 99.9 | 99.8 |
| vectara_avg_summary_length | 162.7 | 94.4 |
| vectara_factual_consistency | 85.3 | 87.9 |
| vectara_hallucination_rate ↓ | 14.7 | 12.1 |
| VideoMMMU | 84.6 | 82.3 |
| τ²-Bench Telecom (AA run) | 86.5 | 93.9 |
| τ³-Bench | 19.6 | 68.4 |
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.