| Benchmark | Claude Sonnet 4 | Qwen3.5 27B |
|---|---|---|
| AA Agentic Index | 39.2 | 54.6 |
| AA Intelligence | 29.8 | 34.6 |
| AA-LCR | 69.7 | 72.3 |
| AA-Omniscience | 0.2 | -44 |
| arena_vision | 1207 | 1221 |
| Artificial Analysis Coding Index | 37.6 | 34.9 |
| browsecomp | 12.2 | 61 |
| browsecomp_zh | 29.1 | 62.1 |
| critpt | 1.1 | 0.9 |
| gdpval | 31.2 | 33 |
| GPQA Diamond | 78 | 85.8 |
| HLE | 10.7 | 48.5 |
| HMMT 2025 | 15.9 | 89.8 |
| IFBench | 55 | 76.5 |
| ifeval | 87.6 | 95 |
| LiveCodeBench v6 | 48.5 | 80.7 |
| mmlu_redux | 93.6 | 93.2 |
| MMLU-Pro | 84 | 86.1 |
| mmmlu | 86.5 | 85.9 |
| MMMU | 74.4 | 82.3 |
| MMMU-Pro | 62.4 | 75 |
| multichallenge | 57.1 | 60.8 |
| OJBench | 15.3 | 40.1 |
| OmniScience Accuracy | 22.7 | 20.7 |
| OmniScience Non-Hallucination | 70.9 | 24.9 |
| OSWorld-Verified | 42.2 | 56.2 |
| scicode | 40 | 39.5 |
| supergpqa | 55.7 | 65.6 |
| SWE-bench Multilingual | 56.9 | 69.3 |
| SWE-bench Pro | 42.7 | 51.2 |
| SWE-bench Verified | 80.2 | 75 |
| Terminal-Bench Hard | 31.1 | 32.6 |
| vectara_answer_rate | 98.6 | 99.8 |
| vectara_avg_summary_length | 145.8 | 94.4 |
| vectara_factual_consistency | 89.7 | 87.9 |
| vectara_hallucination_rate ↓ | 10.3 | 12.1 |
| τ²-Bench Telecom (AA run) | 64.6 | 93.9 |
| τ³-Bench | 13.8 | 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.