| Benchmark | DeepSeek-R1 | GPT-5 |
|---|---|---|
| AA Agentic Index | 3.1 | 49.7 |
| AA Intelligence | 18.6 | 35.3 |
| AA-LCR | 56 | 76.3 |
| AA-Omniscience | -31.3 | -8.7 |
| aider_polyglot | 71.6 | 88 |
| AIME 2025 | 87.5 | 95 |
| AIR-Bench 2024 | 52.9 | 87.7 |
| arc_agi_1 | 21.2 | 56.2 |
| ARC-AGI-2 | 1.3 | 7.5 |
| Artificial Analysis Coding Index | 24.6 | 38.9 |
| browsecomp | 8.9 | 54.9 |
| browsecomp_zh | 35.7 | 65 |
| critpt | 0.6 | 5.7 |
| Fortress | 74.4 | 17 |
| gdpval | 1.5 | 32.5 |
| GPQA Diamond | 81 | 87.3 |
| harmbench | 54.6 | 70 |
| HLE | 17.7 | 28.5 |
| HMMT 2025 | 79.4 | 93.3 |
| hmmt_feb_2025 | 76.7 | 88.3 |
| IFBench | 39 | 73.1 |
| imo_2025 | 6.8 | 38.1 |
| LiveCodeBench | 84.4 | 85 |
| mmlu_redux | 93.4 | 95.3 |
| MMLU-Pro | 85 | 87.5 |
| multichallenge | 45 | 71.1 |
| MultiNRC | 27.6 | 52.1 |
| OmniScience Accuracy | 30.7 | 40.3 |
| OmniScience Non-Hallucination | 10.5 | 21 |
| scicode | 35.7 | 43 |
| simplebench | 40.8 | 56.7 |
| simpleqa_verified | 27.4 | 50.6 |
| SWE-bench Multilingual | 30.5 | 55.3 |
| SWE-bench Verified | 57.6 | 74.9 |
| TauBench V3 - Banking | 6.4 | 22.1 |
| Terminal-Bench | 5.7 | 43.8 |
| Terminal-Bench 2.1 | 19.1 | 35.2 |
| Terminal-Bench Hard | 6.1 | 37.9 |
| vectara_answer_rate | 97 | 99.9 |
| vectara_avg_summary_length | 93.5 | 162.7 |
| vectara_factual_consistency | 88.7 | 85.3 |
| vectara_hallucination_rate ↓ | 11.3 | 14.7 |
| τ²-Bench Telecom (AA run) | 11.4 | 86.5 |
| τ³-Bench | 6.4 | 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.