DeepSeek
DeepSeek-V3.1 is post-trained on the top of DeepSeek-V3.1-Base, which is built upon the original V3 base checkpoint through a two-phase long context extension approach, following the methodology outlined in the original DeepSeek-V3 report. We have expanded our dataset by collecting additional long documents and substantially extending both training phases. The 32K extension phase has been increased 10-fold to 630B tokens, while the 128K extension phase has been extended by 3.3x to 209B tokens. Additionally, DeepSeek-V3.1 is trained using the UE8M0 FP8 scale data format to ensure compatibility with microscaling data formats.
DeepSeek release notesRank #238 across 600
No rank
Rank #183 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 | 20.7 | #238 |
| Artificial Analysis Math Index | math | 89.7 | #26 |
| GPQA | reasoning | 77.9% | #180 |
| Humanity's Last Exam | reasoning | 13.0% | #170 |
| LiveCodeBench |
| coding |
| 78.4% |
| #34 |
| SciCode | coding, reasoning | 39.1% | #173 |
| Blended Price | cost | $0.865/M | #183 |
| Input Price | cost | $0.590/M | #194 |
| Output Price | cost | $1.69/M | #157 |
| Value Index | cost, overall | 23.9 | #154 |