Side-by-side comparison of DeepSeek-V4-Pro (DeepSeek · China) and MiniMax-M2.7 (MiniMax AI · China) for self-hosted deployment of the open-weight model. DeepSeek-V4-Pro is rated conditional; MiniMax-M2.7 is blocked. They part ways on licence: DeepSeek-V4-Pro is "MIT", MiniMax-M2.7 is "MiniMax Non-Commercial License".
| 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. | Blocked Per current documentation, the MiniMax Non-Commercial License prohibits commercial deployment without individually negotiated written authorization from MiniMax, making the weights unsuitable for EU commercial workloads out-of-the-box. Opaque training data and Shanghai-based publisher compound the EU AI Act and data-transfer gaps. |
| Last reviewed | 2026-04-28 | 2026-04-17 |
| Open-weight | ||
| Licence | MIT | MiniMax Non-Commercial License |
| Commercial use | Unrestricted | Non-commercial only |
| Training data | Categories only | Undisclosed |
| Origin | China | China (Shanghai) |
| Performance & pricing? | ||
| Quality index | 52/100 | 50/100 |
| Speed | 36 tok/s | 46 tok/s |
| Blended price | $2.17/M | $0.53/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.