Mistral

Mistral provides API endpoints for its large language models. See their library of models here. We recommend experimenting to find the best-suited model for your use-case. Here are some general recommendations:

codestral model is good for code generation and editing.
mistral-large-latest model is good for most use-cases.
open-mistral-nemo is a free model that is good for most use-cases.
ministral-14b-2512 supports vision tasks such as OCR, document transcription, and image comparison.

Mistral has tier-based rate limits. See the tier docs.

Installation

uv pip install -U mistralai agno

Authentication

Set your MISTRAL_API_KEY environment variable. Get your key from here.

export MISTRAL_API_KEY=***

setx MISTRAL_API_KEY ***

Example

Use MistralChat with your Agent:

import os

from agno.agent import Agent
from agno.models.mistral import MistralChat

mistral_api_key = os.getenv("MISTRAL_API_KEY")

agent = Agent(
    model=MistralChat(
        id="mistral-large-latest",
        api_key=mistral_api_key,
    ),
    markdown=True
)

# Print the response in the terminal
agent.print_response("Share a 2 sentence horror story.")

View more examples here.

Params

Parameter	Type	Default	Description
`id`	`str`	`"mistral-large-latest"`	The id of the Mistral model to use
`name`	`str`	`"MistralChat"`	The name of the model
`provider`	`str`	`"Mistral"`	The provider of the model
`temperature`	`Optional[float]`	`None`	Controls randomness in the model’s output
`max_tokens`	`Optional[int]`	`None`	Maximum number of tokens to generate
`top_p`	`Optional[float]`	`None`	Controls diversity via nucleus sampling
`random_seed`	`Optional[int]`	`None`	Random seed for reproducibility
`safe_mode`	`bool`	`False`	Enable safe mode content filtering
`safe_prompt`	`bool`	`False`	Prepend a safety prompt to all requests
`request_params`	`Optional[Dict[str, Any]]`	`None`	Additional parameters for the request
`api_key`	`Optional[str]`	`None`	The API key for Mistral (defaults to `MISTRAL_API_KEY` env var)
`endpoint`	`Optional[str]`	`None`	Custom endpoint for the Mistral API
`max_retries`	`Optional[int]`	`None`	Maximum number of retries for API requests
`timeout`	`Optional[int]`	`None`	Request timeout in seconds
`client_params`	`Optional[Dict[str, Any]]`	`None`	Additional parameters for client configuration
`mistral_client`	`Optional[Mistral]`	`None`	A pre-configured Mistral client instance to use

MistralChat is a subclass of the Model class and has access to the same params.

Get Started

Basics

Advanced

Production

Providers

Other

Additional Resources

Installation

Authentication

Example

Params

​Installation

​Authentication

​Example

​Params

Installation

Authentication

Example

Params