| Benchmark | Claude Sonnet 4.5 | GPT-4o |
|---|---|---|
| AA Agentic Index | 50.6 | 9.7 |
| AA Intelligence | 37.4 | 11.2 |
| AA-LCR | 68.3 | 55 |
| AA-Omniscience | -0.1 | -10.5 |
| AI2D | 87 | 94.2 |
| AIME 2025 | 88 | 11.7 |
| AIR-Bench 2024 | 89.8 | 62.4 |
| arc_agi_1 | 63.7 | 4.5 |
| ARC-AGI-2 | 13.6 | 0 |
| Artificial Analysis Coding Index | 52.1 | 24.2 |
| critpt | 1.1 | 0 |
| Fortress | 17 | 47.2 |
| gdpval | 40.4 | 0 |
| GPQA Diamond | 83.4 | 70.1 |
| HLE | 19.8 | 5.3 |
| IFBench | 57.3 | 36 |
| LiveCodeBench | 71 | 38.3 |
| LiveCodeBench v6 | 64 | 30.9 |
| longbench_v2 | 61.8 | 48.1 |
| MathVista | 79.8 | 63.8 |
| mmlu_redux | 95.6 | 88 |
| MMLU-Pro | 88.2 | 74.7 |
| mmmlu | 89.1 | 81.4 |
| MMMU | 79.6 | 72.2 |
| MMMU (val) (Pass@1) | 77.8 | 69.1 |
| MMMU-Pro | 68.7 | 59.9 |
| multichallenge | 55.3 | 40.3 |
| MultiNRC | 35.8 | 12.4 |
| OmniScience Accuracy | 32.9 | 23.7 |
| OmniScience Non-Hallucination | 50.9 | 62.1 |
| OSWorld-Verified | 61.4 | 5 |
| RealWorldQA | 70.3 | 75.4 |
| scicode | 45 | 33.4 |
| SEAL VISTA | 48.8 | 34.9 |
| simplebench | 54.3 | 17.8 |
| swe_bench_bash | 71.4 | 21.6 |
| SWE-bench Verified | 82 | 38.8 |
| TAU-bench (airline) | 70 | 42.8 |
| TAU-bench (retail) | 86.2 | 60.3 |
| Terminal-Bench Hard | 35.6 | 8.3 |
| vectara_answer_rate | 95.6 | 93.8 |
| vectara_avg_summary_length | 127.8 | 86.6 |
| vectara_factual_consistency | 88 | 90.4 |
| vectara_hallucination_rate ↓ | 12 | 9.6 |
| τ²-Bench Telecom (AA run) | 78.1 | 28.9 |
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.