| Benchmark | DeepSeek-V4-Pro | GPT-5.1 |
|---|---|---|
| AA Agentic Index | 63.3 | 32.2 |
| AA Intelligence | 53 | 37.5 |
| AA-LCR | 70 | 76.7 |
| AA-Omniscience | -10.6 | 5.4 |
| arena_elo | 1457 | 1439 |
| arena_text_factuality | 1450 | 1445 |
| Artificial Analysis Coding Index | 59.4 | 49.4 |
| browsecomp | 83.4 | 50.8 |
| coding_arena_elo | 1582 | 1421 |
| critpt | 13 | 4.9 |
| gdpval | 49 | 25 |
| GPQA Diamond | 90.5 | 88.1 |
| HLE | 48.2 | 28.5 |
| HLE (with tools) | 48.2 | 42.7 |
| hmmt_nov_2025 | 94.4 | 91.7 |
| IFBench | 76.5 | 72.9 |
| MCP Atlas | 74.2 | 50.1 |
| MMLU-Pro | 87.5 | 87 |
| OmniScience Accuracy | 43 | 37.7 |
| OmniScience Non-Hallucination | 12.2 | 48.1 |
| scicode | 50 | 43.3 |
| simplebench | 50.9 | 53.2 |
| simpleqa_verified | 57.9 | 48.9 |
| SWE-bench Verified | 80.6 | 76.3 |
| TauBench V3 - Banking | 30.1 | 15.9 |
| Terminal-Bench 2.0 | 67.9 | 47.6 |
| Terminal-Bench 2.1 | 72.1 | 52.4 |
| Terminal-Bench Hard | 46.2 | 45.5 |
| vectara_answer_rate | 97.2 | 100 |
| vectara_avg_summary_length | 153.8 | 254.4 |
| vectara_factual_consistency | 91.4 | 89.1 |
| vectara_hallucination_rate ↓ | 8.6 | 12.1 |
| τ²-Bench Telecom (AA run) | 96.2 | 81.9 |
| τ³-Bench | 25.8 | 14 |
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.