Last refreshed 2026-06-16. Next refresh: weekly.
Why use Mistral Large on Fireworks AI?
Fireworks AI offers Mistral Large with pay-as-you-go pricing at $0.90/1M input tokens. Fireworks AI offers a generative AI platform as a service, focusing on rapid product iteration and cost-efficient AI deployment.
Compare Mistral Large across 8 providers to find the best fit for your use caseInput / 1M
$0.90
Output / 1M
$0.90
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
mistral-large-1Request 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="mistral-large-1",
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.
Compare Mistral Large Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| NVIDIA NIM | — | — |
| Microsoft Foundry | $4.00 | $12.00 |
| AWS Bedrock | $2.00 | $6.00 |
| Mistral AI Studio | $2.00 | $6.00 |
| IBM watsonx | $10.00 | $10.00 |
Pricing
| Type | Price (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.
Get Started
Model Specs
Released2024-02-08
Parameters123B
Context32k
Knowledge cutoff2024-03