| Benchmark | Claude Opus 4.7 | GPT-5 |
|---|---|---|
| AA Agentic Index | 64.6 | 49.7 |
| AA Intelligence | 55 | 35.3 |
| AA-LCR | 75.3 | 76.3 |
| AA-Omniscience | 27.3 | -8.7 |
| AIME | 91 | 7.6 |
| arc_agi_1 | 92 | 56.2 |
| ARC-AGI-2 | 75.8 | 7.5 |
| arena_vision | 1304 | 1212 |
| Artificial Analysis Coding Index | 73.6 | 38.9 |
| browsecomp | 79.8 | 54.9 |
| coding_arena_elo | 1557 | 1419 |
| critpt | 12 | 5.7 |
| frontiermath_tier_4 | 22.9 | 12.5 |
| gaia_overall | 28 | 66.1 |
| gdpval | 58.6 | 32.5 |
| GPQA Diamond | 94.2 | 87.3 |
| harmbench | 17.5 | 70 |
| HLE | 54.7 | 28.5 |
| HLE (with tools) | 54.7 | 35.2 |
| IFBench | 58.6 | 73.1 |
| MMMU-Pro | 78.8 | 78.4 |
| OmniScience Accuracy | 48.9 | 40.3 |
| OmniScience Non-Hallucination | 57.7 | 21 |
| scicode | 54.5 | 43 |
| simplebench | 61.7 | 56.7 |
| simpleqa_verified | 50.6 | 50.6 |
| SWE-bench Multilingual | 80.5 | 55.3 |
| SWE-bench Pro | 64.3 | 41.8 |
| SWE-bench Verified | 87.6 | 74.9 |
| TauBench V3 - Banking | 34.6 | 22.1 |
| Terminal-Bench 2.0 | 69.4 | 35.2 |
| Terminal-Bench 2.1 | 83.1 | 35.2 |
| Terminal-Bench Hard | 54.5 | 37.9 |
| vectara_answer_rate | 98 | 99.9 |
| vectara_avg_summary_length | 149.1 | 162.7 |
| vectara_factual_consistency | 88 | 85.3 |
| vectara_hallucination_rate ↓ | 12 | 14.7 |
| τ²-Bench Telecom (AA run) | 88.6 | 86.5 |
| τ³-Bench | 28.9 | 19.6 |
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.