Using Mistral Small on Fireworks AI
Implementation guide · Mistral Small · MistralAI
ServerlessOpen Source
Fireworks AI exposes Mistral Small through model ID mistral-small-1. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-06-01. Next refresh: weekly.
Quick Start
- 1
- 2Use the Fireworks AI SDK or REST API to call
mistral-small-1— see the documentation for request format.
Code Examples
Install
pip install openaiAPI key
FIREWORKS_API_KEYModel ID
mistral-small-1Fireworks 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="mistral-small-1",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Pricing on Fireworks AI
Capabilities
Structured Outputs
About Mistral Small
Mistral Small is a language model from MistralAI. It offers a 32K-token context window.
Model Specs
Released2024-02-26
Parameters22B
Context32k
ArchitectureDecoder Only