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MistralAI

by langgenius 路 v0.0.9

Models provided by MistralAI, including Magistral models with prompt_mode support, Mistral Large/Medium/Small, Pixtral vision models, Codestral for coding, specialized embedding models, and content moderation services.

9.9k installsUpdated May 27, 2026
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Capabilities

Models

Available inside your emploidai workspace after installation.

Data sources

Available inside your emploidai workspace after installation.

Category

model

Version

0.0.9langgenius

Requirements

Maximum memory 256MB

Pricing

Not disclosed by publisher

Security & access

Review before installing

CompatibleRequires emploidai 1.0.0+

Permissions

  • Uses model capability
  • Uses tool capability

Dependencies

No additional dependencies

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Overview

Mistral AI provides a cutting-edge platform for developing and deploying state-of-the-art generative AI models. It supports developers and businesses by offering customizable AI solutions that can be fine-tuned to meet specific needs.

Available Models

Premier Models

  • Magistral Medium - Advanced model with 40k context
  • Mistral Medium - Frontier-class multimodal model with 128k context
  • Mistral Large - Top-tier model for high-complexity tasks
  • Pixtral Large - Vision-capable large model with frontier capabilities
  • Codestral - Cutting-edge language model for coding (256k context)
  • Mistral Saba - Specialized model for Middle East and South Asia languages
  • Ministral 8B/3B - Powerful edge models for on-device use cases

Free/Open Source Models

  • Magistral Small - Small model with transparent multilingual capabilities
  • Mistral Small - SOTA multimodal multilingual model with vision capabilities (Apache 2.0)
  • Devstral Small - Best open-source model for coding agents
  • Pixtral 12B - Vision-capable small model
  • Mistral Nemo - Best multilingual open source model
  • Codestral Mamba - First mamba 2 open source model

Research Models

  • Mathstral - First math open source model (Apache 2.0)

Embedding Models

  • Mistral Embed - State-of-the-art semantic embeddings for text
  • Codestral Embed - Specialized embeddings for code representation

Moderation Models

  • Mistral Moderation - Content moderation service for detecting harmful text across multiple policy dimensions

Services Not Supported in Dify

  • Mistral OCR - OCR service for extracting text and images from documents (uses /v1/ocr endpoint, not compatible with Dify's model framework)

Model Versions

For maximum flexibility, we provide both Latest and Dated versions of each model:

馃攧 Latest Versions (Recommended)

  • Format: model-name-latest (e.g., mistral-large-latest)
  • Behavior: Automatically points to the most recent version
  • Use Case: Development, testing, and applications that benefit from automatic updates
  • Advantage: Always get the latest improvements and features

馃搮 Dated Versions (Stable)

  • Format: model-name-YYMM (e.g., mistral-large-2411)
  • Behavior: Fixed to a specific model version
  • Use Case: Production environments requiring reproducible results
  • Advantage: Guaranteed consistency and predictable behavior

馃挕 Which Version to Choose?

  • Use Latest for: Development, experimentation, staying current with improvements
  • Use Dated for: Production deployments, research requiring reproducibility, compliance requirements

Magistral Models

Magistral models (Magistral Medium and Magistral Small) are designed for complex problem-solving and feature seamless integration with Dify.

馃幆 Model Configuration

Magistral models are designed for step-by-step problem solving and analytical tasks.

馃敡 Reasoning Mode Parameter

Magistral models support a reasoning_mode boolean parameter that controls how the model processes requests:

  • reasoning_mode: true (Default): Enables reasoning mode with system prompt for step-by-step problem solving
  • reasoning_mode: false: Disables reasoning mode for standard chat behavior without system prompt

This parameter is automatically transformed to the Mistral AI API prompt_mode parameter ("reasoning" or null) based on your selection.

Configure

After installation, you need to get API keys from MistralAI and setup in Settings -> Model Provider.