Side-by-side comparison of DeepSeek-V4-Pro (DeepSeek · China) and MiMo-V2.5-Pro (Xiaomi (MiMo)) for self-hosted deployment of the open-weight model. DeepSeek-V4-Pro is rated conditional; MiMo-V2.5-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 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. | Conditional Per the published LICENSE file, MiMo-V2.5-Pro ships under MIT, so the weights themselves carry no commercial restriction. The remaining EU-readiness gaps are the China-based vendor and the corpus disclosure that names training-stage categories (text pre-training, multimodal pre-training, SFT, RL, MOPD) without listing datasets — both should be addressed in any GPAI deployer 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 | 52/100 | 54/100 |
| Speed | 36 tok/s | 65 tok/s |
| Blended price | $2.17/M | $1.50/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.