Using Fireworks DBRX-Instruct on Fireworks AI
Implementation guide · DBRX · Databricks Mosaic
ServerlessOpen Weights
Fireworks AI exposes Fireworks DBRX-Instruct through model ID fireworks-dbrx-instruct. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-05-19. Next refresh: weekly.
Quick Start
- 1
- 2Use the Fireworks AI SDK or REST API to call
fireworks-dbrx-instruct— see the documentation for request format. - 3
Code Examples
Install
pip install openaiAPI key
FIREWORKS_API_KEYModel ID
fireworks-dbrx-instructFireworks model IDs use "accounts/fireworks/models/{model-name}" format, e.g. "accounts/fireworks/models/llama4-scout-instruct-basic" or "accounts/fireworks/models/deepseek-r1".
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["FIREWORKS_API_KEY"],
base_url="https://api.fireworks.ai/inference/v1"
)
response = client.chat.completions.create(
model="fireworks-dbrx-instruct",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Pricing on Fireworks AI
| Type | Price (per 1M) |
|---|---|
| Input tokens | $1.50 |
| Output tokens | $1.50 |
Capabilities
No model capability flags are currently sourced.
About Fireworks DBRX-Instruct
Fireworks DBRX-Instruct is Databricks Mosaic's DBRX model. It offers a 32K-token context window.
Model Specs
Released2024-03-12
Parameters132B
Context33k
ArchitectureDecoder Only
Knowledge cutoff2023-12