Side-by-side comparison of Kimi K2 Instruct (Moonshot AI · China) and MiMo-V2.5-Pro (Xiaomi (MiMo)) for self-hosted deployment of the open-weight model. Kimi K2 Instruct is rated conditional; MiMo-V2.5-Pro is conditional. They part ways on licence: Kimi K2 Instruct is "Modified MIT", MiMo-V2.5-Pro is "MIT".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional 1T-parameter MoE (32B active) tuned for agentic and tool-use workflows. Modified MIT permits commercial use. Same Chinese-origin alignment and supply-chain considerations as DeepSeek and Qwen. | 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 | 2026-04-16 | 2026-04-28 |
| Open-weight | ||
| Licence | Modified MIT | MIT |
| Commercial use | Yes | Unrestricted |
| Training data | Undisclosed | Categories only |
| Origin | China | China |
| Performance & pricing? | ||
| Quality index | 26/100 | 54/100 |
| Speed | 34 tok/s | 65 tok/s |
| Blended price | $1.04/M | $1.50/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.