Side-by-side comparison of MiMo-V2.5-Pro (Xiaomi (MiMo)) and QwQ-32B (Alibaba · China) for self-hosted deployment of the open-weight model. MiMo-V2.5-Pro is rated conditional; QwQ-32B is conditional. They part ways on licence: MiMo-V2.5-Pro is "MIT", QwQ-32B is "Apache 2.0".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | 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. | Conditional 32B dense reasoning model under Apache 2.0. Sweet spot for self-hostable reasoning: 4090-class GPU at 4-bit, single H100 at bf16. Chinese-origin caveats unchanged. |
| Last reviewed | 2026-04-28 | 2026-04-15 |
| Open-weight | ||
| Licence | MIT | Apache 2.0 |
| Commercial use | Unrestricted | Yes |
| Training data | Categories only | Undisclosed |
| Origin | China | China |
| Performance & pricing? | ||
| Quality index | 54/100 | 20/100 |
| Speed | 65 tok/s | 33 tok/s |
| Blended price | $1.50/M | $0.74/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.