| Benchmark | Gemini 2.5 Pro | Gemma 4 31B |
|---|---|---|
| AA Agentic Index | 7.2 | 14.4 |
| AA Intelligence | 27 | 29.7 |
| AA-LCR | 66 | 68.3 |
| AA-Omniscience | -14.3 | -47.9 |
| arena_elo | 1446 | 1451 |
| arena_text_factuality | 1462 | 1449 |
| arena_vision | 1246 | 1252 |
| Artificial Analysis Coding Index | 46.7 | 43.4 |
| coding_arena_elo | 1224 | 1364 |
| critpt | 2.6 | 1.4 |
| gdpval | 8.5 | 15.5 |
| GPQA Diamond | 84.4 | 85.7 |
| HLE | 22.5 | 26.5 |
| HLE (with tools) | 28.4 | 26.5 |
| hmmt_feb_2025 | 82.5 | 88.7 |
| hmmt_nov_2025 | 80 | 87.5 |
| IFBench | 49 | 75.6 |
| mathvision | 73.3 | 85.6 |
| MathVista | 83.9 | 79.3 |
| MMLU-Pro | 86 | 85.2 |
| MMMU | 83.9 | 80.4 |
| MMMU-Pro | 74.9 | 76.9 |
| MMStar | 79.2 | 77.3 |
| OCRBench | 85.9 | 86.1 |
| OmniScience Accuracy | 39 | 20 |
| OmniScience Non-Hallucination | 12.6 | 18.1 |
| scicode | 43 | 43.4 |
| simpleqa_verified | 56 | 9.6 |
| SWE-bench Verified | 67.2 | 52 |
| TauBench V3 - Banking | 9.7 | 14.8 |
| Terminal-Bench 2.1 | 28.5 | 43.4 |
| Terminal-Bench Hard | 26.5 | 36.4 |
| vectara_answer_rate | 99.1 | 100 |
| vectara_avg_summary_length | 106.4 | 75.8 |
| vectara_factual_consistency | 93 | 92.6 |
| vectara_hallucination_rate ↓ | 7 | 7.4 |
| τ²-Bench | 54 | 76.9 |
| τ²-Bench Telecom (AA run) | 54.1 | 65.5 |
| τ³-Bench | 9.3 | 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.