Side-by-side comparison of DeepSeek V3 (DeepSeek · China) and DeepSeek-V4-Pro (DeepSeek · China) for self-hosted deployment of the open-weight model. DeepSeek V3 is rated conditional; DeepSeek-V4-Pro is conditional. They part ways on commercial use: DeepSeek V3 is "Yes", DeepSeek-V4-Pro is "Unrestricted".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional MIT licence is maximally permissive. Weights are legally clean to self-host. Same Chinese-origin considerations as Qwen. | Conditional Per the published LICENSE file, DeepSeek-V4-Pro ships under MIT with no commercial restrictions, so the weights themselves are deployable. The caveats are non-EU jurisdiction and a training corpus described only by aggregate token count (32T+) without a dataset list — both should be documented in any GDPR or AI Act compliance file before regulated use. |
| Last reviewed | 2026-04-15 | 2026-04-28 |
| Open-weight | ||
| Licence | MIT | MIT |
| Commercial use | Yes | Unrestricted |
| Training data | Undisclosed | Categories only |
| Origin | China | China |
| Performance & pricing? | ||
| Quality index | 22/100 | 52/100 |
| Speed | — | 36 tok/s |
| Blended price | $1.25/M | $2.17/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.