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.
Frequently asked questions
What is the context window of DBRX?
DBRX has a context window of 32k tokens.
When was DBRX released?
DBRX was released on 2024-03-27.
Which providers offer DBRX?
DBRX is available from 1 provider: Databricks Foundation Model Serving.
Advancing AI research and model development.
Cheapest of 1 route · Databricks Foundation Model Serving