| Benchmark | Gemini 2.5 Pro | GPT-5.5 |
|---|---|---|
| AA Agentic Index | 7.2 | 47.4 |
| AA Intelligence | 27 | 56.3 |
| AA-LCR | 66 | 79 |
| AA-Omniscience | -14.3 | 20.5 |
| arc_agi_1 | 41 | 95 |
| ARC-AGI-2 | 4.9 | 85 |
| arena_elo | 1446 | 1482 |
| arena_text_factuality | 1462 | 1482 |
| arena_vision | 1246 | 1283 |
| Artificial Analysis Coding Index | 46.7 | 74.9 |
| browsecomp | 9.9 | 84.4 |
| coding_arena_elo | 1224 | 1457 |
| critpt | 2.6 | 27.1 |
| Fortress | 54.9 | 16.3 |
| frontiermath_tier_4 | 4.2 | 35.4 |
| gdpval | 8.5 | 49.5 |
| GPQA Diamond | 84.4 | 93.6 |
| HLE | 22.5 | 52.2 |
| HLE (with tools) | 28.4 | 52.2 |
| hmmt_nov_2025 | 80 | 96.5 |
| IFBench | 49 | 75.9 |
| matharena_visual_math_overall | 77.2 | 94.9 |
| MMMU-Pro | 74.9 | 83.2 |
| OmniScience Accuracy | 39 | 58 |
| OmniScience Non-Hallucination | 12.6 | 12 |
| scicode | 43 | 56.1 |
| simplebench | 62.4 | 69 |
| simpleqa_verified | 56 | 63.1 |
| SWE-bench Verified | 67.2 | 80.6 |
| TauBench V3 - Banking | 9.7 | 39 |
| Terminal-Bench 2.1 | 28.5 | 84.3 |
| Terminal-Bench Hard | 26.5 | 60.6 |
| vectara_answer_rate | 99.1 | 100 |
| vectara_avg_summary_length | 106.4 | 129.6 |
| vectara_factual_consistency | 93 | 90.7 |
| vectara_hallucination_rate ↓ | 7 | 9.3 |
| τ²-Bench Telecom (AA run) | 54.1 | 93.9 |
| τ³-Bench | 9.3 | 31.3 |
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.