Fireworks DBRX-Instruct
Fireworks DBRX-Instruct 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 33k 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 · Fireworks AI
About
Fireworks DBRX-Instruct is Databricks Mosaic's DBRX model. It offers a 32K-token context window.
Fireworks DBRX-Instruct is an open-weight model in the DBRX family. The structured metadata tracks a 33k-token context window. This page tracks provider routes through Fireworks AI, with the cheapest tracked route listed at $1.5 input and $1.5 output per 1M tokens. No headline benchmark score is tracked for Fireworks DBRX-Instruct 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 |
|---|---|---|---|
| Fireworks AI | $1.50 | $1.50 | Serverless |
Available via routers & gateways(1)
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 Fireworks DBRX-Instruct?
Fireworks DBRX-Instruct has a context window of 33k tokens.
How much does Fireworks DBRX-Instruct cost?
Fireworks DBRX-Instruct is available at $1.5/1M input tokens through Fireworks AI.
When was Fireworks DBRX-Instruct released?
Fireworks DBRX-Instruct was released on 2024-03-12.
Which providers offer Fireworks DBRX-Instruct?
Fireworks DBRX-Instruct is available from 1 provider: Fireworks AI.
Advancing AI research and model development.
Cheapest of 1 route · Fireworks AI