| Benchmark | Gemini 2.5 Flash | GPT-5.5 |
|---|---|---|
| AA Agentic Index | 18.8 | 47.4 |
| AA Intelligence | 17.7 | 56.3 |
| AA-LCR | 65.7 | 79 |
| AA-Omniscience | -29.8 | 20.5 |
| arc_agi_1 | 33.3 | 95 |
| ARC-AGI-2 | 2.5 | 85 |
| arena_text_factuality | 1437 | 1482 |
| arena_vision | 1214 | 1283 |
| Artificial Analysis Coding Index | 22.2 | 74.9 |
| critpt | 1.4 | 27.1 |
| frontiermath_tier_4 | 4.2 | 35.4 |
| gdpval | 11.9 | 49.5 |
| GPQA Diamond | 82.8 | 93.6 |
| HLE | 12.1 | 52.2 |
| IFBench | 50.3 | 75.9 |
| MMMU-Pro | 69.1 | 83.2 |
| OmniScience Accuracy | 26.1 | 58 |
| OmniScience Non-Hallucination | 24.7 | 12 |
| scicode | 35.9 | 56.1 |
| simplebench | 41.2 | 69 |
| SWE-bench Verified | 60.4 | 80.6 |
| Terminal-Bench Hard | 13.6 | 60.6 |
| vectara_answer_rate | 99 | 100 |
| vectara_avg_summary_length | 101.5 | 129.6 |
| vectara_factual_consistency | 92.2 | 90.7 |
| vectara_hallucination_rate ↓ | 7.8 | 9.3 |
| τ²-Bench Telecom (AA run) | 31.6 | 93.9 |
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.