DBRX
DBRX is worth evaluating for general LLM work when its provider route and context window match the workload.
Use it for
- Teams evaluating general LLM work
- Workloads that can use a 32k context window
- Buyers comparing 1 tracked provider route
Do not use it for
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
Advancing AI research and model development.
Cheapest of 1 route · Databricks Foundation Model Serving
About
DBRX is a language model from Databricks Mosaic. It offers a 32K-token context window.
DBRX is an open-weight model. The structured metadata tracks a 32k-token context window. This page tracks provider routes through Databricks Foundation Model Serving. No headline benchmark score is tracked for DBRX yet.
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| Databricks Foundation Model Serving | - | - | ProvisionedPartial |
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
Advancing AI research and model development.
Cheapest of 1 route · Databricks Foundation Model Serving