Side-by-side comparison of Ling-2.6 Flash (inclusionAI · China) and Qwen 2.5 (Alibaba · China) for self-hosted deployment of the open-weight model. Ling-2.6 Flash is rated conditional; Qwen 2.5 is conditional. They part ways on licence: Ling-2.6 Flash is "MIT", Qwen 2.5 is "Apache 2.0".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | 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. | Conditional Legally clean under Apache 2.0, but Chinese origin raises supply-chain and geopolitical questions. Vet carefully for sensitive use cases. |
| Last reviewed | 2026-05-03 | 2026-04-15 |
| Open-weight | ||
| Licence | MIT | Apache 2.0 |
| Commercial use | Unrestricted | Yes |
| Training data | Undisclosed | Undisclosed |
| Origin | China | China |
| Performance & pricing? | ||
| Quality index | — | 16/100 |
| Speed | — | 55 tok/s |
| Blended price | — | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.