Side-by-side comparison of DBRX Instruct (Databricks · USA) and GLM-5.1 (Zhipu AI (Z.ai) · China) for self-hosted deployment of the open-weight model. DBRX Instruct is rated conditional; GLM-5.1 is conditional. They part ways on licence: DBRX Instruct is "Databricks Open", GLM-5.1 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 current documentation, GLM-5.1 is released under a verbatim MIT License with no use restrictions, enabling self-hosted commercial deployment. However, training-data opacity, Beijing-based publisher, and Zhipu AI's presence on the US BIS Entity List create EU AI Act transparency and supply-chain screening risks for regulated deployers. |
| Last reviewed | 2026-04-15 | 2026-04-17 |
| Open-weight | ||
| Licence | Databricks Open | MIT |
| Commercial use | With caps | Unrestricted |
| Training data | Undisclosed | Undisclosed |
| Origin | USA | China (Beijing) |
| Performance & pricing? | ||
| Quality index | 8/100 | 44/100 |
| Speed | — | 48 tok/s |
| Blended price | — | $2.15/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.