Side-by-side comparison of MiMo-V2.5-Pro (Xiaomi (MiMo)) and OLMo 2 32B (AllenAI · USA) for self-hosted deployment of the open-weight model. MiMo-V2.5-Pro is rated conditional; OLMo 2 32B is EU-ready. They part ways on licence: MiMo-V2.5-Pro is "MIT", OLMo 2 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. | EU-ready Fully open model: weights, training data (Dolma 2), training code, checkpoints, and logs all published. Apache 2.0 across the board. Strongest choice when AI Act transparency obligations matter. |
| Last reviewed | 2026-04-28 | 2026-04-15 |
| Open-weight | ||
| Licence | MIT | Apache 2.0 |
| Commercial use | Unrestricted | Yes |
| Training data | Categories only | Disclosed |
| Origin | China | USA |
| Performance & pricing? | ||
| Quality index | 54/100 | 11/100 |
| Speed | 65 tok/s | — |
| Blended price | $1.50/M | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.