Side-by-side comparison of DeepSeek V3.2 (DeepSeek · China) and MiMo-V2.5-Pro (Xiaomi (MiMo)) for self-hosted deployment of the open-weight model. DeepSeek V3.2 is rated conditional; MiMo-V2.5-Pro is conditional. They part ways on commercial use: DeepSeek V3.2 is "Yes", MiMo-V2.5-Pro is "Unrestricted".
| 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. | 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 | 2026-04-15 | 2026-04-28 |
| Open-weight | ||
| Licence | MIT | MIT |
| Commercial use | Yes | Unrestricted |
| Training data | Undisclosed | Categories only |
| Origin | China | China |
| Performance & pricing? | ||
| Quality index | 32/100 | 54/100 |
| Speed | 32 tok/s | 65 tok/s |
| Blended price | $0.32/M | $1.50/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.