Skip to main content
Mistral models can be configured directly in Langdock using the Mistral API.

​
Prerequisites

Before setting up Mistral models, you need:
  1. A Mistral account at console.mistral.ai
  2. An API key from the Mistral platform
  3. Admin access to your Langdock workspace

​
Setup Steps

  1. Go to the model settings and click on Add Model
  2. Configure the Display Settings:
    • Provider: Mistral
    • Model name: The model you want to add (e.g., Mistral Large, Codestral)
    • Hosting provider: Mistral (or Azure if using Azure-hosted Mistral)
    • Region: Select the appropriate region
    • Image analysis: Disabled for text-only models, enabled for multimodal variants
  3. Configure the Model Configuration:
    • SDK: Select Mistral
    • Base URL: Leave empty to use the default (https://api.mistral.ai/v1) or specify a custom endpoint
    • Model ID: Use the official model identifier (see Model IDs below)
    • API key: Paste your Mistral API key
    • Context Size: Set according to the model (check Mistral’s documentation for current values)
  4. Click Save and test the model by sending a prompt before making it visible to all users

​
Model IDs

Mistral uses the -latest suffix to always point to the current version of each model:
Model IDType
mistral-large-latestFlagship model — complex reasoning, multilingual, instruction following
codestral-latestCode-specialized — code generation, completion, and technical tasks
mistral-small-latestFast and cost-effective — good for everyday tasks
Check Mistral’s model documentation for the full list of available models, their specifications, and context sizes.

​
Using Mistral from Azure

If you’re using Mistral models hosted on Azure (via Azure AI Models-as-a-Service), you still need to select “Mistral” as the SDK in Langdock. The SDK selection refers to the API format, not the hosting provider.
When configuring Azure-hosted Mistral models:
  • Set the Hosting provider to Azure in Display Settings
  • Set the SDK to “Mistral” in Model Configuration
  • Use your Azure endpoint as the Base URL
  • Use your Azure API key

​
Configuration Notes

  • Mistral models support tool calling natively
  • The default API endpoint https://api.mistral.ai/v1 is used automatically when no custom Base URL is provided
  • Mistral models are known for strong multilingual capabilities, particularly in European languages

​
Troubleshooting

Model not responding:
  • Verify your API key is valid and has not expired
  • Check that you have sufficient credits in your Mistral account
  • Ensure the model ID matches exactly (case-sensitive)
Authentication errors with Azure:
  • Double-check that you’re using “Mistral” as the SDK, not “Azure OpenAI”
  • Verify your Azure endpoint URL is correct and accessible
  • Ensure your Azure API key has the necessary permissions
Slow responses:
  • Larger models may take longer for complex reasoning tasks
  • Consider using a smaller model for faster responses on simpler tasks
If you run into any issues, contact support@langdock.com.