Mistral AI

Mistral AI is a Paris-based artificial intelligence company that develops and operates frontier open-weight and commercial large language models, exposed to developers and enterprises through La Plateforme (api.mistral.ai). The developer platform provides an OpenAI-compatible REST surface spanning chat completions, embeddings, content moderation, agents and tool-use, fill-in-the-middle code completion (Codestral), document OCR, audio transcription (Voxtral), fine-tuning, file management, model management, and asynchronous batch inference. Access is via a bearer API key issued from the console, with first-party Python and TypeScript SDKs, published pricing, a status page, and a dated changelog.

Mistral AI publishes 11 APIs on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Large Language Models, Generative AI, and Machine Learning.

Mistral AI’s developer surface includes documentation, API reference, getting-started guide, support, engineering blog, pricing, signup flow, and 22 more developer resources.

🌐 Visit website 📡 Source on GitHub
36.5/100 thin ▬ flat Agent 10/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5
AccessSelf serve
11 APIs
CompanyArtificial IntelligenceLarge Language ModelsGenerative AIMachine LearningChatEmbeddingsAgentsOCRFine-TuningDeveloper Platform

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 36.5/100 · thin
Contract Quality 0.0 / 25
Developer Ergonomics 11.7 / 20
Commercial Clarity 8.9 / 20
Operational Transparency 5.8 / 13
Governance 0.0 / 12
Discoverability 10.0 / 10
Agent readiness — 10/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
MCP Server 0 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/mistralai: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 11

Individual APIs this provider publishes, each with its own machine-readable definition.

Mistral AI Chat API

Chat completion API for conversational AI using Mistral's language models, with function calling, streaming, and JSON / structured output.

Mistral Embeddings API

Generate vector embeddings for text and code for retrieval, clustering, classification, and semantic search.

Mistral Moderation API

Content moderation and classification API for detecting harmful content across nine safety categories for text and chat.

Mistral AI Agents API

Agent completions API for building AI agents that handle complex tasks, maintain context, coordinate actions, and use tools and connectors.

Mistral AI FIM API

Fill-in-the-Middle code completion API powered by Codestral for generating code between a prompt and suffix across 80+ languages.

Mistral AI OCR API

Document AI / OCR API that extracts text, images, tables, and structured data from documents and PDFs with complex layouts.

Mistral AI Fine-Tuning API

Fine-tuning API for customizing Mistral models on your own datasets, supporting text, vision, and classifier fine-tuning.

Mistral AI Files API

File management API for uploading, retrieving, downloading, and deleting files used across fine-tuning, batch, and OCR.

Mistral AI Models API

Models management API for listing available models, retrieving model details, and managing fine-tuned models.

Mistral AI Batch API

Batch inference API for processing up to one million requests asynchronously at reduced cost across most endpoints.

Mistral AI Audio Transcription API

Audio transcription API powered by Voxtral for speech-to-text with diarization, word-level timestamps, and streaming.

Scroll for all 11

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Mistralai Authentication

apiKey · 1 scheme

SECURITY

Mistralai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal
DeveloperPortal
 GettingStarted
GettingStarted
 SignUp
SignUp

Documentation 2

Reference material describing how the API behaves

Documentation
Documentation
 APIReference
APIReference

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt
LLMsTxt

Design & Contract 3

Pagination, idempotency, versioning, errors, and events

Conventions
Conventions
 Lifecycle
Lifecycle
 Conformance
Conformance

Build 5

SDKs, sample code, and the tooling you integrate with

GitHubOrganization
GitHubOrganization
 SDKs
SDKs
 Packages
Packages
 PythonSDK
PythonSDK
 TypeScriptSDK
TypeScriptSDK

Access & Security 2

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity
 Authentication
Authentication

Operate 6

Status, limits, changes, and where to get help

Support
Support
 StatusPage
StatusPage
 ChangeLog
ChangeLog
 ChangeLog
ChangeLog
 Deprecation
Deprecation
 Discord
Discord

Commercial 3

Pricing, plans, and the legal terms of use

Pricing
Pricing
 TermsOfService
TermsOfService
 PrivacyPolicy
PrivacyPolicy

Company 4

The organization behind the API

Website
Website
 Blog
Blog
 Twitter
Twitter
 LinkedIn
LinkedIn

Source (apis.yml)

apis.yml Raw ↑ 
aid: mistralai
name: Mistral AI
description: Mistral AI is a Paris-based artificial intelligence company that develops and operates frontier open-weight and
  commercial large language models, exposed to developers and enterprises through La Plateforme (api.mistral.ai). The developer
  platform provides an OpenAI-compatible REST surface spanning chat completions, embeddings, content moderation, agents and
  tool-use, fill-in-the-middle code completion (Codestral), document OCR, audio transcription (Voxtral), fine-tuning, file
  management, model management, and asynchronous batch inference. Access is via a bearer API key issued from the console,
  with first-party Python and TypeScript SDKs, published pricing, a status page, and a dated changelog.
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/mistralai.png
url: https://raw.githubusercontent.com/api-evangelist/mistralai/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- lightspeed-venture-partners
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Artificial Intelligence
- Large Language Models
- Generative AI
- Machine Learning
- Chat
- Embeddings
- Agents
- OCR
- Fine-Tuning
- Developer Platform
apis:
- name: Mistral AI Chat API
  description: Chat completion API for conversational AI using Mistral's language models, with function calling, streaming,
    and JSON / structured output.
  humanURL: https://docs.mistral.ai/api/
  baseURL: https://api.mistral.ai/v1
  tags:
  - Artificial Intelligence
  - Chat
  - Conversational AI
  - Large Language Models
  - NLP
  properties:
  - type: Documentation
    url: https://docs.mistral.ai/api/
  - type: APIEndpoint
    url: https://docs.mistral.ai/api/endpoint/chat
- name: Mistral Embeddings API
  description: Generate vector embeddings for text and code for retrieval, clustering, classification, and semantic search.
  humanURL: https://docs.mistral.ai/api/#embeddings
  baseURL: https://api.mistral.ai/v1
  tags:
  - Embeddings
  - Machine Learning
  - Semantic Search
  - Vector Search
  properties:
  - type: Documentation
    url: https://docs.mistral.ai/api/#embeddings
  - type: APIEndpoint
    url: https://docs.mistral.ai/api/endpoint/embeddings
- name: Mistral Moderation API
  description: Content moderation and classification API for detecting harmful content across nine safety categories for text
    and chat.
  humanURL: https://docs.mistral.ai/api/#moderation
  baseURL: https://api.mistral.ai/v1
  tags:
  - Classification
  - Compliance
  - Content Moderation
  - Safety
  properties:
  - type: Documentation
    url: https://docs.mistral.ai/capabilities/moderation
  - type: APIEndpoint
    url: https://docs.mistral.ai/api/endpoint/classifiers
- name: Mistral AI Agents API
  description: Agent completions API for building AI agents that handle complex tasks, maintain context, coordinate actions,
    and use tools and connectors.
  humanURL: https://docs.mistral.ai/api/endpoint/agents
  baseURL: https://api.mistral.ai/v1
  tags:
  - Agents
  - Artificial Intelligence
  - Automation
  - Function Calling
  - Tools
  properties:
  - type: Documentation
    url: https://docs.mistral.ai/agents/agents
  - type: APIEndpoint
    url: https://docs.mistral.ai/api/endpoint/agents
- name: Mistral AI FIM API
  description: Fill-in-the-Middle code completion API powered by Codestral for generating code between a prompt and suffix
    across 80+ languages.
  humanURL: https://docs.mistral.ai/api/endpoint/fim
  baseURL: https://api.mistral.ai/v1
  tags:
  - Code Completion
  - Code Generation
  - Codestral
  - Fill in the Middle
  - Programming
  properties:
  - type: Documentation
    url: https://docs.mistral.ai/capabilities/code_generation
  - type: APIEndpoint
    url: https://docs.mistral.ai/api/endpoint/fim
- name: Mistral AI OCR API
  description: Document AI / OCR API that extracts text, images, tables, and structured data from documents and PDFs with
    complex layouts.
  humanURL: https://docs.mistral.ai/api/endpoint/ocr
  baseURL: https://api.mistral.ai/v1
  tags:
  - Document AI
  - Document Understanding
  - OCR
  - PDF Processing
  - Text Extraction
  properties:
  - type: Documentation
    url: https://docs.mistral.ai/capabilities/document_ai/document_ai_overview
  - type: APIEndpoint
    url: https://docs.mistral.ai/api/endpoint/ocr
- name: Mistral AI Fine-Tuning API
  description: Fine-tuning API for customizing Mistral models on your own datasets, supporting text, vision, and classifier
    fine-tuning.
  humanURL: https://docs.mistral.ai/api/endpoint/fine-tuning
  baseURL: https://api.mistral.ai/v1
  tags:
  - Fine-Tuning
  - Machine Learning
  - Model Customization
  - Training
  properties:
  - type: Documentation
    url: https://docs.mistral.ai/capabilities/finetuning/text-vision-finetuning
  - type: APIEndpoint
    url: https://docs.mistral.ai/api/endpoint/fine-tuning
- name: Mistral AI Files API
  description: File management API for uploading, retrieving, downloading, and deleting files used across fine-tuning, batch,
    and OCR.
  humanURL: https://docs.mistral.ai/api/endpoint/files
  baseURL: https://api.mistral.ai/v1
  tags:
  - File Management
  - Files
  - Storage
  - Upload
  properties:
  - type: Documentation
    url: https://docs.mistral.ai/api/endpoint/files
  - type: APIEndpoint
    url: https://docs.mistral.ai/api/endpoint/files
- name: Mistral AI Models API
  description: Models management API for listing available models, retrieving model details, and managing fine-tuned models.
  humanURL: https://docs.mistral.ai/api/endpoint/models
  baseURL: https://api.mistral.ai/v1
  tags:
  - Artificial Intelligence
  - Model Management
  - Models
  properties:
  - type: Documentation
    url: https://docs.mistral.ai/api/endpoint/models
  - type: APIEndpoint
    url: https://docs.mistral.ai/api/endpoint/models
- name: Mistral AI Batch API
  description: Batch inference API for processing up to one million requests asynchronously at reduced cost across most endpoints.
  humanURL: https://docs.mistral.ai/api/endpoint/batch
  baseURL: https://api.mistral.ai/v1
  tags:
  - Async
  - Batch Processing
  - Bulk Operations
  - Cost Optimization
  properties:
  - type: Documentation
    url: https://docs.mistral.ai/capabilities/batch
  - type: APIEndpoint
    url: https://docs.mistral.ai/api/endpoint/batch
- name: Mistral AI Audio Transcription API
  description: Audio transcription API powered by Voxtral for speech-to-text with diarization, word-level timestamps, and
    streaming.
  humanURL: https://docs.mistral.ai/api/endpoint/audio/transcriptions
  baseURL: https://api.mistral.ai/v1
  tags:
  - Audio
  - Diarization
  - Speech to Text
  - Transcription
  - Voxtral
  properties:
  - type: Documentation
    url: https://docs.mistral.ai/capabilities/audio_and_transcription
  - type: APIEndpoint
    url: https://docs.mistral.ai/api/endpoint/audio/transcriptions
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/mistralai-domain-security.yml
- type: Website
  url: https://mistral.ai
- type: DeveloperPortal
  url: https://docs.mistral.ai/api
- type: Documentation
  url: https://docs.mistral.ai
- type: APIReference
  url: https://docs.mistral.ai/api/
- type: GettingStarted
  url: https://docs.mistral.ai/getting-started/quickstart
- type: Support
  url: mailto:support@mistral.ai
- type: Blog
  url: https://mistral.ai/news
- type: GitHubOrganization
  url: https://github.com/mistralai
- type: Pricing
  url: https://mistral.ai/pricing
- type: SignUp
  url: https://console.mistral.ai
- type: TermsOfService
  url: https://mistral.ai/terms/
- type: PrivacyPolicy
  url: https://mistral.ai/privacy/
- type: StatusPage
  url: https://status.mistral.ai
- type: ChangeLog
  url: https://docs.mistral.ai/getting-started/changelog
- type: ChangeLog
  url: changelog/mistralai-changelog.yml
- type: Deprecation
  url: https://docs.mistral.ai/getting-started/models/models_overview/
- type: Twitter
  url: https://twitter.com/MistralAI
- type: LinkedIn
  url: https://www.linkedin.com/company/mistralai
- type: Discord
  url: https://discord.gg/mistralai
- type: SDKs
  url: packages/mistralai-packages.yml
- type: Packages
  url: packages/mistralai-packages.yml
- type: PythonSDK
  url: https://github.com/mistralai/client-python
- type: TypeScriptSDK
  url: https://github.com/mistralai/client-ts
- type: LLMsTxt
  url: llms/mistralai-llms.txt
- type: Authentication
  url: authentication/mistralai-authentication.yml
- type: Conventions
  url: conventions/mistralai-conventions.yml
- type: Lifecycle
  url: lifecycle/mistralai-lifecycle.yml
- type: Conformance
  url: conformance/mistralai-conformance.yml
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 9
  pass: local-v1