| Benchmark | DeepSeek-V3.2 | Qwen3.5 27B |
|---|---|---|
| AA Agentic Index | 39.8 | 54.6 |
| AA Intelligence | 32.8 | 34.6 |
| AA-LCR | 70.7 | 72.3 |
| AA-Omniscience | -22.5 | -44 |
| aime_2026 | 95.1 | 92.6 |
| Artificial Analysis Coding Index | 44.2 | 34.9 |
| browsecomp | 51.4 | 61 |
| browsecomp_zh | 65 | 62.1 |
| coding_arena_elo | 1368 | 1357 |
| critpt | 2.9 | 0.9 |
| gdpval | 18.8 | 33 |
| GPQA Diamond | 84 | 85.8 |
| HLE | 40.8 | 48.5 |
| HMMT 2025 | 90.2 | 89.8 |
| hmmt_feb_2025 | 92.5 | 92 |
| hmmt_feb_2026 | 84.1 | 84.3 |
| hmmt_nov_2025 | 90.2 | 89.8 |
| IFBench | 61 | 76.5 |
| imo_answer_bench | 78.3 | 79.9 |
| LiveCodeBench v6 | 83.3 | 80.7 |
| longbench_v2 | 59.8 | 60.6 |
| MCP Atlas | 62.2 | 68.4 |
| mcpmark | 38 | 36.3 |
| mmlu_redux | 93.7 | 93.2 |
| MMLU-Pro | 86 | 86.1 |
| OmniScience Accuracy | 33 | 20.7 |
| OmniScience Non-Hallucination | 17.3 | 24.9 |
| scicode | 39 | 39.5 |
| Seal-0 | 49.5 | 47.2 |
| SWE-bench Multilingual | 70.2 | 69.3 |
| SWE-bench Pro | 15.6 | 51.2 |
| SWE-bench Verified | 73.1 | 75 |
| Terminal-Bench 2.0 | 46.4 | 41.6 |
| Terminal-Bench Hard | 35.6 | 32.6 |
| tool_decathlon | 35.2 | 31.5 |
| vectara_answer_rate | 92.6 | 99.8 |
| vectara_avg_summary_length | 62 | 94.4 |
| vectara_factual_consistency | 93.7 | 87.9 |
| vectara_hallucination_rate ↓ | 6.3 | 12.1 |
| τ²-Bench Telecom (AA run) | 90.6 | 93.9 |
| τ³-Bench | 69.2 | 68.4 |
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.