Side-by-side comparison of DBRX Instruct (Databricks · USA) and DeepSeek V3.2 (DeepSeek · China) for self-hosted deployment of the open-weight model. DBRX Instruct is rated conditional; DeepSeek V3.2 is conditional. They part ways on licence: DBRX Instruct is "Databricks Open", DeepSeek V3.2 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 685B successor to V3 with DeepSeek Sparse Attention for long context, scalable RL for agentic tasks. Vendor claims parity with GPT-5 (Speciale variant exceeds). MIT licence keeps weights clean; Chinese-origin considerations unchanged. |
| Last reviewed | 2026-04-15 | 2026-04-15 |
| Open-weight | ||
| Licence | Databricks Open | MIT |
| Commercial use | With caps | Yes |
| Training data | Undisclosed | Undisclosed |
| Origin | USA | China |
| Performance & pricing? | ||
| Quality index | 8/100 | 32/100 |
| Speed | — | 32 tok/s |
| Blended price | — | $0.32/M |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.