Side-by-side comparison of Kimi-K2.6 (Moonshot AI · China) and LFM2.5-8B-A1B (Liquid AI) for self-hosted deployment of the open-weight model. Kimi-K2.6 is rated conditional; LFM2.5-8B-A1B is conditional. They part ways on licence: Kimi-K2.6 is "Modified MIT", LFM2.5-8B-A1B is "LFM Open License 1.0".
| 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 LFM Open License v1.0, Liquid AI's terms are Apache-2.0-derived but cap free commercial use at USD 10M annual company revenue — above that threshold deployers must negotiate a paid licence with [email protected]. The model itself is a strong 8.3B / 1.5B-active MoE built for CPU and edge inference, but the 38-trillion-token training corpus is undisclosed and Liquid AI is a US-based MIT spinoff, so EU regulated buyers should run their own DPIA and document the data-transfer story alongside any commercial-tier negotiation. |
| Last reviewed | 2026-04-28 | 2026-05-30 |
| Open-weight | ||
| Licence | Modified MIT | LFM Open License 1.0 |
| Commercial use | Attribution at scale | Free under $10M revenue |
| Training data | Undisclosed | Undisclosed |
| Origin | China | USA (Boston) |
| Performance & pricing? | ||
| Quality index | 54/100 | — |
| Speed | — | — |
| Blended price | $1.71/M | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.