Side-by-side comparison of DeepSeek R1 (DeepSeek · China) and Mistral 7B Instruct v0.2 (Mistral AI · France) for self-hosted deployment of the open-weight model. DeepSeek R1 is rated conditional; Mistral 7B Instruct v0.2 is conditional. They part ways on licence: DeepSeek R1 is "MIT", Mistral 7B Instruct v0.2 is "Apache 2.0".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional Frontier reasoning model at o1-class performance. MIT licence makes weights legally clean. Same Chinese-origin alignment/supply-chain considerations as DeepSeek V3. Distilled Qwen/Llama versions inherit their base licence. | 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 | 2026-04-15 | 2026-04-17 |
| Open-weight | ||
| Licence | MIT | Apache 2.0 |
| Commercial use | Yes | Unrestricted |
| Training data | Undisclosed | Undisclosed |
| Origin | China | EU (France) |
| Performance & pricing? | ||
| Quality index | 27/100 | 7/100 |
| Speed | — | 193 tok/s |
| Blended price | $2.36/M | $0.25/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.