Side-by-side comparison of DBRX Instruct (Databricks · USA) and Ling-2.6 Flash (inclusionAI · China) for self-hosted deployment of the open-weight model. DBRX Instruct is rated conditional; Ling-2.6 Flash is conditional. They part ways on licence: DBRX Instruct is "Databricks Open", Ling-2.6 Flash is "MIT".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional 132B MoE (36B active). Databricks Open Model License is bespoke — allows commercial use with acceptable-use policy and a 700M-MAU-style cap. Read the licence carefully; not Apache 2.0. | 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 | Databricks Open | MIT |
| Commercial use | With caps | Unrestricted |
| Training data | Undisclosed | Undisclosed |
| Origin | USA | China |
| Performance & pricing? | ||
| Quality index | 8/100 | — |
| Speed | — | — |
| Blended price | — | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.