Side-by-side comparison of Ling-2.6 Flash (inclusionAI · China) and MiniMax-M2.7 (MiniMax AI · China) for self-hosted deployment of the open-weight model. Ling-2.6 Flash is rated conditional; MiniMax-M2.7 is blocked. They part ways on licence: Ling-2.6 Flash is "MIT", MiniMax-M2.7 is "MiniMax Non-Commercial License".
| 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. | Blocked Per current documentation, the MiniMax Non-Commercial License prohibits commercial deployment without individually negotiated written authorization from MiniMax, making the weights unsuitable for EU commercial workloads out-of-the-box. Opaque training data and Shanghai-based publisher compound the EU AI Act and data-transfer gaps. |
| Last reviewed | 2026-05-03 | 2026-04-17 |
| Open-weight | ||
| Licence | MIT | MiniMax Non-Commercial License |
| Commercial use | Unrestricted | Non-commercial only |
| Training data | Undisclosed | Undisclosed |
| Origin | China | China (Shanghai) |
| Performance & pricing? | ||
| Quality index | — | 50/100 |
| Speed | — | 46 tok/s |
| Blended price | — | $0.53/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.