| Benchmark | Claude Sonnet 4.6 | Gemma 4 31B |
|---|---|---|
| AA Agentic Index | 61.6 | 14.4 |
| AA Intelligence | 48.4 | 29.7 |
| AA-LCR | 74 | 68.3 |
| AA-Omniscience | 12.2 | -47.9 |
| arena_elo | 1472 | 1451 |
| arena_text_factuality | 1460 | 1449 |
| arena_vision | 1278 | 1252 |
| Artificial Analysis Coding Index | 63 | 43.4 |
| charxiv_rq | 72.4 | 67.9 |
| coding_arena_elo | 1523 | 1364 |
| critpt | 3.1 | 1.4 |
| gdpval | 54.8 | 15.5 |
| GPQA (unspecified) | 89.9 | 84.3 |
| GPQA Diamond | 89.9 | 85.7 |
| HLE | 49 | 26.5 |
| HLE (with tools) | 46.8 | 26.5 |
| IFBench | 56.6 | 75.6 |
| itbenchSre | 39.8 | 37.3 |
| MCP Atlas | 69.5 | 57.2 |
| mmmlu | 89.3 | 88.4 |
| MMMU-Pro | 75.6 | 76.9 |
| mrcr_v2_8needle_128k_average | 84.9 | 66.4 |
| OmniScience Accuracy | 40.9 | 20 |
| OmniScience Non-Hallucination | 51.6 | 18.1 |
| scicode | 47 | 43.4 |
| simpleqa_verified | 29 | 9.6 |
| SWE-bench Pro | 58.1 | 35.7 |
| SWE-bench Verified | 79.6 | 52 |
| TauBench V3 - Banking | 34.4 | 14.8 |
| Terminal-Bench 2.0 | 59.1 | 42.9 |
| Terminal-Bench 2.1 | 71.2 | 43.4 |
| Terminal-Bench Hard | 59.1 | 36.4 |
| vectara_answer_rate | 99.9 | 100 |
| vectara_avg_summary_length | 114.7 | 75.8 |
| vectara_factual_consistency | 89.4 | 92.6 |
| vectara_hallucination_rate ↓ | 10.6 | 7.4 |
| τ²-Bench Telecom (AA run) | 97.9 | 65.5 |
| τ³-Bench | 30.5 | 67.5 |
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.