Side-by-side comparison of DBRX Instruct (Databricks · USA) and Ling-2.6 1T (inclusionAI · China) for self-hosted deployment of the open-weight model. DBRX Instruct is rated conditional; Ling-2.6 1T is conditional. They part ways on licence: DBRX Instruct is "Databricks Open", Ling-2.6 1T 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 1T is an MIT-licensed 1-trillion-parameter MoE with a 262k-token context, hybrid MLA + Linear attention and multi-token-prediction support, targeted at production agentic workloads. Permissive weights enable EU self-hosting in principle, though the deployment footprint is non-trivial; vendor jurisdiction (Ant Group, China) and undisclosed training data remain the regulated-buyer blockers. |
| 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.