LLM Reference
Fireworks AI

Using Mistral Large on Fireworks AI

Implementation guide · Mistral Large · MistralAI

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Fireworks AI exposes Mistral Large through model ID mistral-large-1. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-06-16. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at Fireworks AI and generate an API key.
  2. 2
    Use the Fireworks AI SDK or REST API to call mistral-large-1 — see the documentation for request format.
  3. 3
    You'll be billed $0.90/1M input, $0.90/1M output tokens. See full pricing.
API PortalDocumentationPricingModel Card

Code Examples

Install
pip install openai
API key
FIREWORKS_API_KEY
Model ID
mistral-large-1

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".

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-large-1",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on Fireworks AI

TypePrice (per 1M)
Input tokens$0.90
Output tokens$0.90

Capabilities

VisionJSON / Tool useStructured Outputs

About Mistral Large

Mistral Large is a language model from MistralAI. It is deprecated (originally released 2024-02-08); use it only for reproducing earlier results or evaluating drift over time.

Full model details →

Model Specs

Released2024-02-08
Parameters123B
Context32k
Knowledge cutoff2024-03

Also available on(7)

GCP Vertex AI$0.32/1MAWS Bedrock$2.00/1MMistral AI Studio$2.00/1M
Compare all providers →

Provider

Fireworks AI
Fireworks AI

San Mateo, California, United States