| Benchmark | Claude Sonnet 4 | GPT-5.2 |
|---|---|---|
| AA Agentic Index | 39.2 | 60.2 |
| AA Intelligence | 29.8 | 43.3 |
| AA-LCR | 69.7 | 79.3 |
| AA-Omniscience | 0.2 | 0.3 |
| AIME 2025 | 74 | 100 |
| arc_agi_1 | 63.7 | 86.2 |
| ARC-AGI-2 | 13.6 | 52.9 |
| arena_vision | 1207 | 1245 |
| Artificial Analysis Coding Index | 37.6 | 48.7 |
| browsecomp | 12.2 | 65.8 |
| browsecomp_zh | 29.1 | 76.1 |
| critpt | 1.1 | 11.6 |
| Fortress | 24.4 | 17.5 |
| frontiermath_tier_4 | 0 | 18.8 |
| gdpval | 31.2 | 48.3 |
| GPQA Diamond | 78 | 92.4 |
| HLE | 10.7 | 45.5 |
| HLE (with tools) | 20.3 | 45.5 |
| HMMT 2025 | 15.9 | 99.4 |
| IFBench | 55 | 75.4 |
| livebench | 74.8 | 74.8 |
| LiveCodeBench | 68.5 | 89 |
| MMLU-Pro | 84 | 87 |
| mmmlu | 86.5 | 89.6 |
| MMMU-Pro | 62.4 | 79.5 |
| MultiNRC | 18.4 | 42.2 |
| OmniScience Accuracy | 22.7 | 44.3 |
| OmniScience Non-Hallucination | 70.9 | 38.4 |
| scicode | 40 | 52.1 |
| SEAL VISTA | 45.5 | 46.6 |
| simplebench | 45.5 | 45.8 |
| swe_bench_bash | 64.9 | 72.8 |
| SWE-bench Multilingual | 56.9 | 72 |
| SWE-bench Pro | 42.7 | 55.6 |
| SWE-bench Verified | 80.2 | 80 |
| Tau2 retail | 75 | 82 |
| TauBench V3 - Banking | 16.7 | 11.1 |
| Terminal-Bench Hard | 31.1 | 62.2 |
| vectara_answer_rate | 98.6 | 100 |
| vectara_avg_summary_length | 145.8 | 186.3 |
| vectara_factual_consistency | 89.7 | 89.2 |
| vectara_hallucination_rate ↓ | 10.3 | 10.8 |
| τ²-Bench | 65 | 85.5 |
| τ²-Bench Telecom (AA run) | 64.6 | 98.7 |
| τ³-Bench | 13.8 | 12 |
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.