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Mistral AI

Mistral AI is a French artificial intelligence company that develops and provides frontier large language models and APIs for developers and enterprises. Their developer platform offers APIs for chat completions, embeddings, fine-tuning, OCR, batch processing, and agentic workflows, enabling teams to build sophisticated AI-powered applications.

8 APIs 0 Features
AgentsArtificial IntelligenceBatch ProcessingChatEmbeddingsFine-TuningLarge Language ModelsOCR

APIs

Mistral AI Chat Completions API

The Mistral AI Chat Completions API enables developers to interact with Mistral's language models in a conversational manner. It supports multi-turn conversations, function call...

Mistral AI Embeddings API

The Mistral AI Embeddings API allows developers to compute document and text embeddings using Mistral's embedding models. These embeddings can be used for semantic search, clust...

Mistral AI Agents API

The Mistral AI Agents API provides a dedicated framework for building agentic applications. It complements the Chat Completion API by enabling AI agents to handle complex tasks,...

Mistral AI Fine-Tuning API

The Mistral AI Fine-Tuning API allows developers to create and manage fine-tuning jobs that customize Mistral models on proprietary datasets. Users can upload training data, con...

Mistral AI OCR API

The Mistral AI OCR API provides optical character recognition capabilities powered by the mistral-ocr-latest model. It can extract text and structured content from PDF documents...

Mistral AI Models API

The Mistral AI Models API provides endpoints for listing and retrieving information about available models on the Mistral platform. Developers can query which models are accessi...

Mistral AI Forge API

Mistral AI Forge is a model-training platform providing a unified API for the entire model lifecycle from pre-training to reinforcement learning. Forge enables enterprises to bu...

Mistral AI Batch API

The Mistral AI Batch API enables developers to submit large volumes of requests for asynchronous processing at reduced cost. It is designed for workloads that do not require rea...

Semantic Vocabularies

Mistral Ai Context

0 classes · 8 properties

JSON-LD

Resources

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Portal
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Documentation
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Website
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PrivacyPolicy
PrivacyPolicy
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TermsOfService
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Blog
Blog
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Login
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Sources

Raw ↑
aid: mistral-ai
name: Mistral AI
description: >-
  Mistral AI is a French artificial intelligence company that develops and
  provides frontier large language models and APIs for developers and
  enterprises. Their developer platform offers APIs for chat completions,
  embeddings, fine-tuning, OCR, batch processing, and agentic workflows,
  enabling teams to build sophisticated AI-powered applications.
type: Index
image: https://kinlane-productions.s3.amazonaws.com/apis-json/apis-json-logo.jpg
url: https://raw.githubusercontent.com/api-evangelist/mistral-ai/refs/heads/main/apis.yml
tags:
  - Agents
  - Artificial Intelligence
  - Batch Processing
  - Chat
  - Embeddings
  - Fine-Tuning
  - Large Language Models
  - OCR
created: '2025-03-07'
modified: '2026-04-28'
specificationVersion: '0.19'
apis:
  - aid: mistral-ai:chat-completions
    name: Mistral AI Chat Completions API
    description: >-
      The Mistral AI Chat Completions API enables developers to interact with
      Mistral's language models in a conversational manner. It supports
      multi-turn conversations, function calling, and JSON mode for structured
      outputs. The API provides access to a range of models including Mistral
      Large, Mistral Small, and Codestral, each optimized for different use
      cases from general reasoning to code generation.
    humanURL: https://docs.mistral.ai/api/endpoint/chat
    baseURL: https://api.mistral.ai/v1
    tags:
      - Artificial Intelligence
      - Chat
      - Completions
      - Conversational AI
      - Large Language Models
    properties:
      - type: Documentation
        url: https://docs.mistral.ai/api/endpoint/chat
      - type: OpenAPI
        url: openapi/mistral-ai-chat-completions-openapi.yml
  - aid: mistral-ai:embeddings
    name: Mistral AI Embeddings API
    description: >-
      The Mistral AI Embeddings API allows developers to compute document and
      text embeddings using Mistral's embedding models. These embeddings can be
      used for semantic search, clustering, classification, and retrieval
      augmented generation workflows. The API accepts text inputs and returns
      high-dimensional vector representations suitable for a variety of natural
      language processing tasks.
    humanURL: https://docs.mistral.ai/capabilities/embeddings
    baseURL: https://api.mistral.ai/v1
    tags:
      - Artificial Intelligence
      - Embeddings
      - Semantic Search
      - Vector Search
    properties:
      - type: Documentation
        url: https://docs.mistral.ai/capabilities/embeddings
      - type: OpenAPI
        url: openapi/mistral-ai-embeddings-openapi.yml
  - aid: mistral-ai:agents
    name: Mistral AI Agents API
    description: >-
      The Mistral AI Agents API provides a dedicated framework for building
      agentic applications. It complements the Chat Completion API by enabling
      AI agents to handle complex tasks, maintain context across interactions,
      and coordinate multiple actions. Developers can create agents with
      specific configurations, tools, and instructions, making it suitable for
      enterprise-grade agentic platforms and multi-step workflow automation.
    humanURL: https://docs.mistral.ai/api/endpoint/agents
    baseURL: https://api.mistral.ai/v1
    tags:
      - Agentic Workflows
      - Agents
      - Artificial Intelligence
      - Automation
      - Orchestration
    properties:
      - type: Documentation
        url: https://docs.mistral.ai/api/endpoint/agents
      - type: OpenAPI
        url: openapi/mistral-ai-agents-openapi.yml
  - aid: mistral-ai:fine-tuning
    name: Mistral AI Fine-Tuning API
    description: >-
      The Mistral AI Fine-Tuning API allows developers to create and manage
      fine-tuning jobs that customize Mistral models on proprietary datasets.
      Users can upload training data, configure hyperparameters, and monitor
      job progress through the API. Fine-tuned models can then be deployed and
      accessed through the Chat Completions endpoint, enabling domain-specific
      performance improvements for enterprise applications.
    humanURL: https://docs.mistral.ai/api/endpoint/fine-tuning
    baseURL: https://api.mistral.ai/v1
    tags:
      - Artificial Intelligence
      - Customization
      - Fine-Tuning
      - Machine Learning
      - Model Training
    properties:
      - type: Documentation
        url: https://docs.mistral.ai/api/endpoint/fine-tuning
      - type: OpenAPI
        url: openapi/mistral-ai-fine-tuning-openapi.yml
  - aid: mistral-ai:ocr
    name: Mistral AI OCR API
    description: >-
      The Mistral AI OCR API provides optical character recognition
      capabilities powered by the mistral-ocr-latest model. It can extract text
      and structured content from PDF documents and images, comprehending
      complex document elements including media, tables, equations, and
      interleaved text. The API returns ordered, structured content suitable
      for downstream processing and retrieval augmented generation pipelines.
    humanURL: https://docs.mistral.ai/api/endpoint/ocr
    baseURL: https://api.mistral.ai/v1
    tags:
      - Artificial Intelligence
      - Document AI
      - OCR
      - PDF Processing
      - Text Extraction
    properties:
      - type: Documentation
        url: https://docs.mistral.ai/api/endpoint/ocr
      - type: OpenAPI
        url: openapi/mistral-ai-ocr-openapi.yml
  - aid: mistral-ai:models
    name: Mistral AI Models API
    description: >-
      The Mistral AI Models API provides endpoints for listing and retrieving
      information about available models on the Mistral platform. Developers
      can query which models are accessible, inspect model capabilities and
      metadata, and manage fine-tuned model deployments. This API serves as the
      foundation for model discovery and lifecycle management within the
      Mistral ecosystem.
    humanURL: https://docs.mistral.ai/api/endpoint/models
    baseURL: https://api.mistral.ai/v1
    tags:
      - Artificial Intelligence
      - Infrastructure
      - Model Management
      - Models
    properties:
      - type: Documentation
        url: https://docs.mistral.ai/api/endpoint/models
      - type: OpenAPI
        url: openapi/mistral-ai-models-openapi.yml
  - aid: mistral-ai:forge
    name: Mistral AI Forge API
    description: >-
      Mistral AI Forge is a model-training platform providing a unified API for
      the entire model lifecycle from pre-training to reinforcement learning.
      Forge enables enterprises to build frontier-grade AI models grounded in
      proprietary knowledge, supporting pre-training on large internal
      datasets, post-training through supervised fine-tuning with DPO and
      ODPO, and reinforcement learning pipelines for aligning models with
      internal policies. Forge is optimized for agentic workflows, allowing AI
      agents to programmatically schedule training jobs, optimize
      hyperparameters, and generate synthetic data. The platform supports both
      Dense and Mixture-of-Experts model architectures with serverless
      infrastructure.
    humanURL: https://mistral.ai/news/forge
    tags:
      - Agentic Workflows
      - Artificial Intelligence
      - Enterprise AI
      - Model Training
      - Pre-Training
      - Reinforcement Learning
    properties:
      - type: Documentation
        url: https://mistral.ai/news/forge
      - type: OpenAPI
        url: openapi/mistral-ai-forge-openapi.yml
  - aid: mistral-ai:batch
    name: Mistral AI Batch API
    description: >-
      The Mistral AI Batch API enables developers to submit large volumes of
      requests for asynchronous processing at reduced cost. It is designed for
      workloads that do not require real-time responses, such as bulk text
      classification, large-scale content generation, and data processing
      pipelines. Developers can submit batch jobs, monitor their progress, and
      retrieve results once processing is complete.
    humanURL: https://docs.mistral.ai/capabilities/batch
    baseURL: https://api.mistral.ai/v1
    tags:
      - Artificial Intelligence
      - Asynchronous
      - Batch Processing
      - Large Scale
    properties:
      - type: Documentation
        url: https://docs.mistral.ai/capabilities/batch
      - type: OpenAPI
        url: openapi/mistral-ai-batch-openapi.yml
common:
  - type: Portal
    url: https://console.mistral.ai/
  - type: Documentation
    url: https://docs.mistral.ai/
  - type: Website
    url: https://mistral.ai/
  - type: PrivacyPolicy
    url: https://mistral.ai/terms/#privacy-policy
  - type: TermsOfService
    url: https://mistral.ai/terms/#terms-of-use
  - type: Blog
    url: https://mistral.ai/news/
  - type: Login
    url: https://console.mistral.ai/
  - type: JSON-LD
    url: json-ld/mistral-ai-context.jsonld
  - type: JSONSchema
    url: json-schema/mistral-ai-chat-completion-schema.json
  - type: JSONSchema
    url: json-schema/mistral-ai-model-schema.json
  - type: JSONSchema
    url: json-schema/mistral-ai-fine-tuning-job-schema.json
  - type: JSONSchema
    url: json-schema/mistral-ai-batch-job-schema.json
  - type: JSONSchema
    url: json-schema/mistral-ai-ocr-response-schema.json
maintainers:
  - FN: API Evangelist
    email: [email protected]