| Benchmark | Claude Sonnet 4.6 | Gemini 3 Pro |
|---|---|---|
| AA Agentic Index | 61.6 | 52 |
| AA Intelligence | 48.4 | 40.6 |
| AA-LCR | 74 | 73 |
| AA-Omniscience | 12.2 | 15.3 |
| apexAgents | 28 | 18.4 |
| arc_agi_1 | 86.5 | 75 |
| ARC-AGI-2 | 60.4 | 54 |
| arena_elo | 1472 | 1485 |
| arena_text_factuality | 1460 | 1481 |
| arena_vision | 1278 | 1290 |
| Artificial Analysis Coding Index | 63 | 46.5 |
| browsecomp | 76.2 | 59.2 |
| charxiv_rq | 72.4 | 81.4 |
| coding_arena_elo | 1523 | 1438 |
| critpt | 3.1 | 9.1 |
| frontiermath_tier_4 | 8.3 | 18.8 |
| gdpval | 54.8 | 34.2 |
| GDPval-AA (Elo) | 1676 | 1195 |
| GPQA Diamond | 89.9 | 91.9 |
| HLE | 49 | 45.8 |
| HLE (with tools) | 46.8 | 45.8 |
| IFBench | 56.6 | 70.4 |
| livebench | 75.5 | 73.4 |
| MCP Atlas | 69.5 | 70.3 |
| mmmlu | 89.3 | 91.8 |
| MMMU-Pro | 75.6 | 81 |
| mrcr_v2_8needle_128k_average | 84.9 | 77 |
| OmniScience Accuracy | 40.9 | 55.8 |
| OmniScience Non-Hallucination | 51.6 | 10 |
| scicode | 47 | 56.1 |
| simpleqa_verified | 29 | 72.9 |
| SWE-bench Pro | 58.1 | 43.3 |
| SWE-bench Verified | 79.6 | 78 |
| Terminal-Bench 2.0 | 59.1 | 54.2 |
| Terminal-Bench Hard | 59.1 | 56.9 |
| toolathlon | 49.4 | 36.4 |
| vectara_answer_rate | 99.9 | 99.4 |
| vectara_avg_summary_length | 114.7 | 101.9 |
| vectara_factual_consistency | 89.4 | 86.4 |
| vectara_hallucination_rate ↓ | 10.6 | 13.6 |
| τ²-Bench Telecom (AA run) | 97.9 | 98 |
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.