| Benchmark | Claude Sonnet 4.6 | GPT-5 |
|---|---|---|
| AA Agentic Index | 61.6 | 49.7 |
| AA Intelligence | 48.4 | 35.3 |
| AA-LCR | 74 | 76.3 |
| AA-Omniscience | 12.2 | -8.7 |
| arc_agi_1 | 86.5 | 56.2 |
| ARC-AGI-2 | 60.4 | 7.5 |
| arena_vision | 1278 | 1212 |
| Artificial Analysis Coding Index | 63 | 38.9 |
| browsecomp | 76.2 | 54.9 |
| coding_arena_elo | 1523 | 1419 |
| critpt | 3.1 | 5.7 |
| frontiermath_tier_4 | 8.3 | 12.5 |
| gdpval | 54.8 | 32.5 |
| GPQA (unspecified) | 89.9 | 85.7 |
| GPQA Diamond | 89.9 | 87.3 |
| harmbench | 24.2 | 70 |
| HLE | 49 | 28.5 |
| HLE (with tools) | 46.8 | 35.2 |
| IFBench | 56.6 | 73.1 |
| MMMU-Pro | 75.6 | 78.4 |
| OmniScience Accuracy | 40.9 | 40.3 |
| OmniScience Non-Hallucination | 51.6 | 21 |
| scicode | 47 | 43 |
| simpleqa_verified | 29 | 50.6 |
| SWE-bench Pro | 58.1 | 41.8 |
| SWE-bench Verified | 79.6 | 74.9 |
| Tau2 retail | 91.7 | 81.1 |
| TauBench V3 - Banking | 34.4 | 22.1 |
| Terminal-Bench 2.0 | 59.1 | 35.2 |
| Terminal-Bench 2.1 | 71.2 | 35.2 |
| Terminal-Bench Hard | 59.1 | 37.9 |
| vectara_answer_rate | 99.9 | 99.9 |
| vectara_avg_summary_length | 114.7 | 162.7 |
| vectara_factual_consistency | 89.4 | 85.3 |
| vectara_hallucination_rate ↓ | 10.6 | 14.7 |
| τ²-Bench Telecom (AA run) | 97.9 | 86.5 |
| τ³-Bench | 30.5 | 19.6 |
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.