Side-by-side comparison of DeepSeek V3 (DeepSeek · China) and Ling-2.6 Flash (inclusionAI · China) for self-hosted deployment of the open-weight model. DeepSeek V3 is rated conditional; Ling-2.6 Flash is conditional. They part ways on commercial use: DeepSeek V3 is "Yes", Ling-2.6 Flash is "Unrestricted".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional MIT licence is maximally permissive. Weights are legally clean to self-host. Same Chinese-origin considerations as 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 | 2026-04-15 | 2026-05-03 |
| Open-weight | ||
| Licence | MIT | MIT |
| Commercial use | Yes | Unrestricted |
| Training data | Undisclosed | Undisclosed |
| Origin | China | China |
| Performance & pricing? | ||
| Quality index | 22/100 | — |
| Speed | — | — |
| Blended price | $1.25/M | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.