Side-by-side comparison of Kimi-K2.6 (Moonshot AI · China) and Ling-2.6 1T (inclusionAI · China) for self-hosted deployment of the open-weight model. Kimi-K2.6 is rated conditional; Ling-2.6 1T is conditional. They part ways on licence: Kimi-K2.6 is "Modified MIT", Ling-2.6 1T is "MIT".
| 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 model card, Ling-2.6 1T is an MIT-licensed 1-trillion-parameter MoE with a 262k-token context, hybrid MLA + Linear attention and multi-token-prediction support, targeted at production agentic workloads. Permissive weights enable EU self-hosting in principle, though the deployment footprint is non-trivial; vendor jurisdiction (Ant Group, China) and undisclosed training data remain the regulated-buyer blockers. |
| Last reviewed | 2026-04-28 | 2026-05-03 |
| Open-weight | ||
| Licence | Modified MIT | MIT |
| Commercial use | Attribution at scale | Unrestricted |
| Training data | Undisclosed | Undisclosed |
| 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.