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Mistral AI

Learn how to connect Mistral AI models to your CodinIT projects. Get access to powerful AI including specialized coding models like Codestral.

What is Mistral AI?

Mistral AI is a French AI company that creates powerful, efficient language models. They're known for their high-quality models that are great at reasoning, coding, and following instructions precisely.Perfect for building sophisticated apps with CodinIT!

Why Use Mistral with CodinIT?

Coding Specialist

Codestral model is specifically designed for coding tasks

Fast & Efficient

High-quality responses without wasting tokens

Precise Instructions

Great at following detailed instructions exactly

Multilingual

Strong support for multiple languages

Getting Your Mistral API Key

Visit Mistral Platform

Go to console.mistral.ai and create an account or sign in.

Create Your API Key

You have two options:

  • Regular API Key: For most Mistral models
  • Codestral API Key: Specifically for the coding-focused Codestral model

Choose based on which models you plan to use.

Copy and Save

Copy your API key immediately and save it securely - you won't be able to see it again!

Available Mistral Models

Choose the right model for your project:

General Purpose Models

ModelSizeIntelligenceBest For
Mistral SmallSmall⭐⭐⭐Quick tasks, simple questions
Mistral MediumMedium⭐⭐⭐⭐Balanced performance
Pixtral LargeLarge⭐⭐⭐⭐⭐Complex reasoning, image analysis

Coding-Focused Models

ModelSpecialtyBest For
CodestralCode GenerationWriting, debugging, and explaining code
Devstral SmallDevelopmentLightweight coding assistance

Efficient Models

ModelSpeedBest For
Ministral 3B⚡⚡⚡Very fast responses
Ministral 8B⚡⚡Balanced speed and quality
New to Mistral? Start with Mistral Small for general tasks, or Codestral if you're primarily building and coding!

Setting Up Mistral in CodinIT

Step 1: Open Project Settings

In your CodinIT project, click the Settings button (⚙️) to open your project configuration.

Step 2: Choose Mistral as Your AI Provider

Find AI Provider Settings

Look for the "AI Provider" or "Model" section in your project settings.

Select Mistral

Choose "Mistral" from the provider dropdown menu.

Enter Your API Key

Paste the API key you got from Mistral Platform into the API key field.

Pick Your Model

Select which Mistral model you want to use based on your needs.

Save Your Settings

Click Save to apply your changes.

Step 3: Test Your Connection

Try a Simple Prompt

In your CodinIT chat, try asking: "Help me create a simple button component"

Check the Response

If everything works, you'll get a helpful response from Mistral!

Try Coding Tasks

If you chose Codestral, try: "Write a function to validate email addresses"

Understanding Codestral

Codestral is Mistral's special model designed specifically for coding tasks.

What makes Codestral special? It's trained specifically on code, making it excellent at understanding programming concepts, writing clean code, debugging issues, and explaining how code works.

When to Use Codestral

  • Writing new code from scratch
  • Debugging existing code
  • Code reviews and improvements
  • Explaining complex code
  • Refactoring and optimization

Codestral vs Regular Models

Codestral

Best for: Pure coding tasks, technical development, code-focused conversations

Regular Mistral

Best for: Mixed conversations, planning, general questions, content creation

Tips for Better Results

Writing Good Prompts for Mistral

Be Specific
tip
Mistral excels when you give clear, detailed instructions about what you want
Ask for Examples
tip
Request code examples, step-by-step explanations, or multiple approaches
Specify Your Context
tip
Tell Mistral what kind of app you're building and what technologies you're using

Getting the Most from Mistral

  • Use Codestral for pure coding tasks
  • Ask for complete, working examples
  • Request explanations of the code
  • Ask for best practices and alternatives

Understanding Usage and Costs

What Affects Your Costs

Conversation Length

Longer chats and detailed responses use more tokens

Model Size

Larger, more capable models cost more per token

Code Generation

Generating lots of code uses more output tokens

Smart Usage Tips

Start Small
strategy
Begin with smaller models and upgrade if you need more capability
Be Efficient
strategy
Ask for exactly what you need - avoid requesting overly long responses
Use the Right Tool
strategy
Use Codestral for coding, regular models for everything else

Common Questions

Should I use Codestral or regular Mistral?

If you're primarily building apps and writing code, Codestral is your best choice. For mixed tasks (planning, content, and some coding), go with Mistral Small or Medium.

Can I switch between different Mistral models?

Yes! You can change models anytime in your project settings. Each model has different strengths, so feel free to experiment and see which works best for your specific needs.

What if I need help with multiple programming languages?

Mistral models, especially Codestral, support many programming languages including JavaScript, Python, Java, C++, and more. Just specify which language you're working with in your prompts.

What if Mistral isn't working?

Check Your API Key

Make sure you're using the right key (regular vs Codestral) for your chosen model

Try a Different Model

Switch to a different Mistral model if one isn't responding

Check Connection

Ensure you have a stable internet connection

Getting Help

Need more assistance?

Mistral Documentation

Official Mistral guides and API documentation

Codestral Guide

Specific documentation for coding with Codestral

CodinIT Support

Contact our support team for CodinIT-specific help

🚀 Ready to code with Mistral? With Mistral AI connected to your CodinIT project, you now have access to some of the most precise and coding-capable AI models available. Try Codestral for your next coding challenge!