Side-by-side comparison of DeepSeek-V4-Pro (DeepSeek · China) and Mistral 7B Instruct v0.2 (Mistral AI · France) for self-hosted deployment of the open-weight model. DeepSeek-V4-Pro is rated conditional; Mistral 7B Instruct v0.2 is conditional. They part ways on licence: DeepSeek-V4-Pro is "MIT", Mistral 7B Instruct v0.2 is "Apache 2.0".
| 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 Based on published licence terms, Mistral 7B Instruct v0.2 is an EU-origin open-weight model under standard Apache 2.0 — commercial deployment and self-hosting are permitted without field-of-use restrictions. Training-data opacity is the primary EU AI Act Art. 53 gap, but the French controller, absence of CLOUD Act exposure, and Mistral's published DPA make this a strong baseline for regulated EU workloads. |
| Last reviewed | 2026-04-28 | 2026-04-17 |
| Open-weight | ||
| Licence | MIT | Apache 2.0 |
| Commercial use | Unrestricted | Unrestricted |
| Training data | Categories only | Undisclosed |
| Origin | China | EU (France) |
| Performance & pricing? | ||
| Quality index | 52/100 | 7/100 |
| Speed | 36 tok/s | 193 tok/s |
| Blended price | $2.17/M | $0.25/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.