Side-by-side comparison of DeepSeek V3.2 (DeepSeek · China) and Mistral Small 4 (Mistral AI · France) for self-hosted deployment of the open-weight model. DeepSeek V3.2 is rated conditional; Mistral Small 4 is EU-ready. They part ways on licence: DeepSeek V3.2 is "MIT", Mistral Small 4 is "Apache 2.0".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional 685B successor to V3 with DeepSeek Sparse Attention for long context, scalable RL for agentic tasks. Vendor claims parity with GPT-5 (Speciale variant exceeds). MIT licence keeps weights clean; Chinese-origin considerations unchanged. | EU-ready Unified model folding Instruct, reasoning (Magistral) and code (Devstral) into a single 119B MoE under Apache 2.0. 6.5B active params, 256K context, 24 languages, toggleable reasoning effort. Strongest permissive EU option at this scale. |
| Last reviewed | 2026-04-15 | 2026-04-15 |
| Open-weight | ||
| Licence | MIT | Apache 2.0 |
| Commercial use | Yes | Yes |
| Training data | Undisclosed | Undisclosed |
| Origin | China | EU |
| Performance & pricing? | ||
| Quality index | 32/100 | 19/100 |
| Speed | 32 tok/s | 147 tok/s |
| Blended price | $0.32/M | $0.26/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.