Side-by-side comparison of Kimi-K2.6 (Moonshot AI · China) and MiniMax M2 (MiniMax · China) for self-hosted deployment of the open-weight model. Kimi-K2.6 is rated conditional; MiniMax M2 is conditional. They part ways on commercial use: Kimi-K2.6 is "Attribution at scale", MiniMax M2 is "Yes".
| 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 229B agent-focused model from MiniMax, Modified MIT. Strong software-engineering and tool-use benchmarks. Family has iterated fast (M2 / M2.1 / M2.5 / M2.7 across 2025-2026). Same Chinese-origin alignment and supply-chain considerations as DeepSeek, Qwen, Kimi. |
| Last reviewed | 2026-04-28 | 2026-04-16 |
| Open-weight | ||
| Licence | Modified MIT | Modified MIT |
| Commercial use | Attribution at scale | Yes |
| Training data | Undisclosed | Undisclosed |
| Origin | China | China |
| Performance & pricing? | ||
| Quality index | 54/100 | 36/100 |
| Speed | — | 72 tok/s |
| Blended price | $1.71/M | $0.53/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.