AI & ML Bearer Token

Mistral AI REST API

Open-weight AI models with frontier-level performance

Mistral AI provides state-of-the-art large language models through a simple REST API. Developers use Mistral for chat completions, embeddings, and function calling with models like Mistral Large, Mistral Small, and open-weight alternatives. The API offers streaming responses, JSON mode, and tool integration for building AI-powered applications with competitive pricing and performance.

Base URL https://api.mistral.ai/v1

API Endpoints

Method	Endpoint	Description
POST	`/chat/completions`	Generate chat completions using Mistral models with support for streaming, function calling, and JSON mode
POST	`/embeddings`	Create vector embeddings from text using Mistral's embedding models for semantic search and RAG applications
GET	`/models`	List all available Mistral models with their capabilities, pricing, and context window sizes
POST	`/fim/completions`	Fill-in-the-middle completions for code generation and completion tasks with Codestral models
POST	`/agents/completions`	Execute agent workflows with function calling and tool use for autonomous task execution
GET	`/models/{model_id}`	Retrieve detailed information about a specific Mistral model including parameters and capabilities
POST	`/moderations`	Analyze content for policy violations, harmful content, and safety guardrails
POST	`/classifiers`	Classify text into predefined categories using Mistral's classification capabilities
GET	`/files`	List uploaded files used for fine-tuning and retrieval augmented generation
POST	`/files`	Upload files for fine-tuning datasets or document retrieval in RAG applications
DELETE	`/files/{file_id}`	Delete a previously uploaded file from Mistral storage
POST	`/fine_tuning/jobs`	Create a fine-tuning job to customize Mistral models on your specific dataset
GET	`/fine_tuning/jobs`	List all fine-tuning jobs with their status, metrics, and configuration
GET	`/fine_tuning/jobs/{job_id}`	Get detailed status and metrics for a specific fine-tuning job
DELETE	`/fine_tuning/jobs/{job_id}`	Cancel an in-progress fine-tuning job

Code Examples

curl https://api.mistral.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $MISTRAL_API_KEY" \
  -d '{
    "model": "mistral-large-latest",
    "messages": [
      {
        "role": "user",
        "content": "What is the best French cheese?"
      }
    ],
    "temperature": 0.7,
    "max_tokens": 1000
  }'

const response = await fetch('https://api.mistral.ai/v1/chat/completions', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'Authorization': `Bearer ${process.env.MISTRAL_API_KEY}`
  },
  body: JSON.stringify({
    model: 'mistral-large-latest',
    messages: [
      {
        role: 'user',
        content: 'What is the best French cheese?'
      }
    ],
    temperature: 0.7,
    max_tokens: 1000
  })
});

const data = await response.json();
console.log(data.choices[0].message.content);

import os
import requests

response = requests.post(
    'https://api.mistral.ai/v1/chat/completions',
    headers={
        'Content-Type': 'application/json',
        'Authorization': f'Bearer {os.environ["MISTRAL_API_KEY"]}'
    },
    json={
        'model': 'mistral-large-latest',
        'messages': [
            {
                'role': 'user',
                'content': 'What is the best French cheese?'
            }
        ],
        'temperature': 0.7,
        'max_tokens': 1000
    }
)

data = response.json()
print(data['choices'][0]['message']['content'])

Connect Mistral AI to AI

Deploy a Mistral AI MCP server on IOX Cloud and connect it to Claude, ChatGPT, Cursor, or any AI client. Your AI assistant gets direct access to Mistral AI through these tools:

mistral_chat Generate conversational responses using Mistral's chat models with context awareness and streaming support

mistral_embed Create semantic embeddings for text to enable similarity search, clustering, and retrieval augmented generation

mistral_function_call Execute structured function calls with Mistral models for tool use, API integration, and autonomous agents

mistral_code_complete Generate code completions and fill-in-the-middle suggestions using Codestral models for development workflows

mistral_moderate Analyze and classify content for safety, policy compliance, and harmful content detection with Mistral's moderation system

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Mistral AI REST API

API Endpoints

Code Examples

Connect Mistral AI to AI

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