Side-by-side comparison of Kimi-K2.6 (Moonshot AI · China) and MiniCPM5-1B (OpenBMB) for self-hosted deployment of the open-weight model. Kimi-K2.6 is rated conditional; MiniCPM5-1B is conditional. They part ways on licence: Kimi-K2.6 is "Modified MIT", MiniCPM5-1B is "Apache 2.0".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional Per the published LICENSE file, Kimi-K2.6 ships under a Modified MIT licence: identical to standard MIT for almost all deployers, with an additional UI-attribution requirement only for products exceeding 100M monthly active users or USD 20M monthly revenue. The genuine EU-readiness concerns are the China-based vendor and the absence of any training-data disclosure rather than the licence itself. | Conditional Per the published Apache 2.0 LICENSE, the 1.08B-parameter weights carry no use restrictions and are well suited to on-device or edge deployments. Unusually for a Chinese-origin release, OpenBMB ships a full data card naming every pre-training and SFT corpus, which closes the AI Act Art. 53 transparency gap most peers leave open. The remaining hedge for regulated EU buyers is vendor jurisdiction (Tsinghua-affiliated lab, mainland China) — self-host the weights and treat any vendor-side service as out of scope. |
| Last reviewed | 2026-04-28 | 2026-05-30 |
| Open-weight | ||
| Licence | Modified MIT | Apache 2.0 |
| Commercial use | Attribution at scale | Unrestricted |
| Training data | Undisclosed | Documented |
| Origin | China | China |
| Performance & pricing? | ||
| Quality index | 54/100 | — |
| Speed | — | — |
| Blended price | $1.71/M | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.