Last refreshed 2026-05-19. Next refresh: weekly.
Why use Fireworks DBRX-Instruct on Fireworks AI?
Fireworks AI offers Fireworks DBRX-Instruct with pay-as-you-go pricing at $1.50/1M input tokens. Fireworks AI offers a generative AI platform as a service, focusing on rapid product iteration and cost-efficient AI deployment.
Input / 1M
$1.50
Output / 1M
$1.50
Cache
Not sourced
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install openaiAuth
export FIREWORKS_API_KEY=...Call
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["FIREWORKS_API_KEY"],Model ID
fireworks-dbrx-instructRequest example
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)Gotchas
- Fireworks model IDs use "accounts/fireworks/models/{model-name}" format, e.g. "accounts/fireworks/models/llama4-scout-instruct-basic" or "accounts/fireworks/models/deepseek-r1".
- The examples expect FIREWORKS_API_KEY; rename it only if your application config maps the new variable.
Pricing
| 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