DBRX is a Open MoE LLM from Databricks (United States).
One-line fit: best used for Enterprise customization.
Key specifications
| Provider | Databricks |
|---|---|
| Model | DBRX |
| Type | Open MoE LLM |
| Context window | Large |
| Pricing (indicative) | Open + platform |
| Company category | Data + Models |
| Region | United States |
| Official site | https://www.databricks.com |
Benchmarks and public standing
Strong open MoE at release
Treat scores as directional. SWE-bench, Terminal-Bench, LMSYS Arena, Artificial Analysis, and vendor cards use different harnesses and are not always comparable 1:1. Re-check the latest official model card before decisions.
What this model is good at
Enterprise customization
This aligns with Databricks’s broader strengths:
- Data+AI unified platform
- Custom enterprise training
- RAG on lakehouse
Limitations and watch-outs
Fast-moving open race
- Rate limits, regional availability, and data retention policies vary by plan.
- Agent harness quality (Cursor, Claude Code, Codex, custom tools) can change outcomes more than raw model Elo.
- Open-weight availability (if any) is separate from hosted API quality and safety filters.
Ideal users
- Product engineers shipping features that match: Enterprise customization
- Teams standardizing on the Databricks ecosystem
- Agent builders who need a Open MoE LLM
When to pick something else
- Cheaper volume: compare lower tiers from the same lab or open Chinese/EU alternatives.
- Maximum hard SWE thoughtfulness: compare Claude Fable-class and other coding flagships.
- Giant multimodal corpora / Workspace: compare Gemini-class models.
- Self-host / open weights: Llama, Qwen, DeepSeek, GLM, Mistral open lines.
Parent company
Databricks – Lakehouse platform; DBRX and Mosaic research; enterprise training on customer data.
Related models from Databricks
Data is curated for AIForumSphere model directory mid-2026 directional figures.
