DeepSeek
DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...
DeepSeek release notesRank #233 across 600
No rank
Rank #89 across 379
Percentile score by analysis domain.
* Cost is inverted: lower input, output, and blended prices rank higher.
Higher bars mean stronger relative placement.
Streaming speed is not measured for this model yet.
| Metric | Domain | Value | Rank |
|---|---|---|---|
| Artificial Analysis Intelligence Index | overall | 21.3 | #233 |
| Artificial Analysis Math Index | math | 57.7 | #122 |
| MMLU-Pro | reasoning | 83.6% | #49 |
| GPQA | reasoning | 73.8% | #229 |
| Humanity's Last Exam |
| reasoning |
| 8.6% |
| #240 |
| LiveCodeBench | coding | 55.4% | #131 |
| SciCode | coding, reasoning | 39.9% | #152 |
| Blended Price | cost | $0.315/M | #89 |
| Input Price | cost | $0.280/M | #127 |
| Output Price | cost | $0.420/M | #71 |
| Value Index | cost, overall | 67.6 | #68 |