Side-by-side comparison of DeepSeek-V4-Flash (DeepSeek · China) and DeepSeek-V4-Pro (DeepSeek · China) for self-hosted deployment of the open-weight model. DeepSeek-V4-Flash is rated conditional; DeepSeek-V4-Pro is conditional. On the four sovereignty dimensions we track, they score identically — the difference is in context and org posture.
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional DeepSeek-V4-Flash is the smaller-active sibling of V4-Pro under the same MIT terms — permissive on the weights, but the China-based vendor and undocumented training corpus mean any EU deployment still needs a self-hosted topology and a deployer-side GPAI documentation file under AI Act Article 53. | 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 | 2026-04-28 | 2026-04-28 |
| Open-weight | ||
| Licence | MIT | MIT |
| Commercial use | Unrestricted | Unrestricted |
| Training data | Categories only | Categories only |
| Origin | China | China |
| Performance & pricing? | ||
| Quality index | 47/100 | 52/100 |
| Speed | 79 tok/s | 36 tok/s |
| Blended price | $0.17/M | $2.17/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.