| Benchmark | Claude Sonnet 4 | Claude Sonnet 4.6 |
|---|---|---|
| AA Agentic Index | 39.2 | 61.6 |
| AA Intelligence | 29.8 | 48.4 |
| AA-LCR | 69.7 | 74 |
| AA-Omniscience | 0.2 | 12.2 |
| arc_agi_1 | 63.7 | 86.5 |
| ARC-AGI-2 | 13.6 | 60.4 |
| arena_vision | 1207 | 1278 |
| Artificial Analysis Coding Index | 37.6 | 63 |
| browsecomp | 12.2 | 76.2 |
| critpt | 1.1 | 3.1 |
| frontiermath_tier_4 | 0 | 8.3 |
| gdpval | 31.2 | 54.8 |
| GPQA Diamond | 78 | 89.9 |
| harmbench | 98 | 24.2 |
| HLE | 10.7 | 49 |
| HLE (with tools) | 20.3 | 46.8 |
| IFBench | 55 | 56.6 |
| livebench | 74.8 | 75.5 |
| mmmlu | 86.5 | 89.3 |
| MMMU-Pro | 62.4 | 75.6 |
| OmniScience Accuracy | 22.7 | 40.9 |
| OmniScience Non-Hallucination | 70.9 | 51.6 |
| OSWorld-Verified | 42.2 | 78.5 |
| scicode | 40 | 47 |
| SWE-bench Pro | 42.7 | 58.1 |
| SWE-bench Verified | 80.2 | 79.6 |
| Tau2 retail | 75 | 91.7 |
| TauBench V3 - Banking | 16.7 | 34.4 |
| Terminal-Bench 2.1 | 36.3 | 71.2 |
| Terminal-Bench Hard | 31.1 | 59.1 |
| vectara_answer_rate | 98.6 | 99.9 |
| vectara_avg_summary_length | 145.8 | 114.7 |
| vectara_factual_consistency | 89.7 | 89.4 |
| vectara_hallucination_rate ↓ | 10.3 | 10.6 |
| τ²-Bench Telecom (AA run) | 64.6 | 97.9 |
| τ³-Bench | 13.8 | 30.5 |
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.