Side-by-side comparison of Kimi K2 Instruct (Moonshot AI · China) and Ling-2.6 Flash (inclusionAI · China) for self-hosted deployment of the open-weight model. Kimi K2 Instruct is rated conditional; Ling-2.6 Flash is conditional. They part ways on licence: Kimi K2 Instruct is "Modified MIT", Ling-2.6 Flash 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 model card, Ling-2.6 Flash is an MIT-licensed 104B / 7.4B-active MoE built on a hybrid Lightning-Linear + MLA attention design, positioned for agentic and tool-use workflows. Permissive weights are deployable in EU infrastructure; the headline risks for regulated buyers are vendor jurisdiction (Ant Group's inclusionAI lab, headquartered in China) and the absence of any training-data disclosure in the model card. |
| Last reviewed | 2026-04-16 | 2026-05-03 |
| Open-weight | ||
| Licence | Modified MIT | MIT |
| Commercial use | Yes | Unrestricted |
| Training data | Undisclosed | Undisclosed |
| Origin | China | China |
| Performance & pricing? | ||
| Quality index | 26/100 | — |
| Speed | 34 tok/s | — |
| Blended price | $1.04/M | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.