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Mistral AI

Mistral AI provides state-of-the-art large language models and AI APIs for developers and enterprises.

agent ready

Solid contracts, transparent operations, and an easy start — typically complete on four or five facets with one clear soft spot.

Kin Score

API Evangelist profiles Mistral AI the way a machine reads it — 102 machine-readable artifacts across 11 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.

Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Mistral AI scores 66.5/100 (strong), with a separate agent-readiness read of 54/100 (agent ready). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.

Kin Score

This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 66.5/100 · strong
Contract Quality 20.0 / 25
Developer Ergonomics 9.6 / 20
Commercial Clarity 14.2 / 20
Operational Transparency 8.9 / 13
Governance 6.3 / 12
Discoverability 7.5 / 10
Agent readiness — 54/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 15 / 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 7 / 7
Typed Event Surface 6 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3

How we profile Mistral AI

Each block below is one kind of artifact we hold for Mistral AI. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.

APIs 11

Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.

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

Mistral AI Agents API

Agent completion operations

Mistral AI Audio API

Audio transcription operations

Mistral AI Batch Jobs API

Batch inference job operations

Mistral AI Chat API

Chat completion operations

Mistral AI Embeddings API

Text embedding operations

Mistral AI Files API

File management operations

Mistral AI FIM API

Fill-in-the-Middle code completion operations

Mistral AI Fine-Tuning Jobs API

Create and manage fine-tuning jobs

Mistral AI Models API

Model management operations

Mistral AI Moderation API

Content moderation and classification operations

Mistral AI OCR API

Document OCR and text extraction operations

Scroll within the panel for all 11 ·

Open Collections 11

Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

Mistral AI Agents API

OPEN COLLECTION

Mistral AI Batch API

OPEN COLLECTION

Mistral AI Chat API

OPEN COLLECTION

Mistral AI Files API

OPEN COLLECTION

Mistral AI FIM API

OPEN COLLECTION

Mistral AI Models API

OPEN COLLECTION

Mistral AI OCR API

OPEN COLLECTION

Scroll within the panel for all 11 ·

GraphQL 1

Where a provider ships GraphQL, the schema is the contract. We profile it alongside the REST surface so the whole interface is legible in one place.

GraphQL schemas published by this provider.

Mistral AI GraphQL Schema

Conceptual GraphQL schema for the Mistral AI API. Mistral AI exposes a REST API (OpenAI-compatible) at `https://api.mistral.ai/v1`. This schema translates those REST resources i...

GRAPHQL

Pricing Plans 1

Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.

Published pricing tiers and plan structures.

Mistral Plans Pricing

6 plans

PLANS

Rate Limits 1

Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.

Documented rate limits and quota policies.

Mistral Rate Limits

4 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.

Cost, billing, and metering signals for API financial operations.

Features 16

The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.

Notable capabilities this provider offers.

Mistral Large 2 at $2/$6 per MTok
Mistral Medium 3 at $0.40/$2
Mistral Small 3 at $0.10/$0.30
Ministral 3B at $0.04/$0.04 (smallest commercial model)
Mistral Nemo at $0.02/$0.04 (cheapest tier)
Codestral at $0.30/$0.90 for code completion/FIM
Pixtral Large for vision
Mixtral 8x22B mixture-of-experts
La Plateforme free tier with 1 RPS
Paid tier: 10 RPS, 5M TPM
OpenAI-compatible Chat Completions
Function calling and tool use
JSON mode and guided generation
Embed model for semantic search
Available on AWS Bedrock, Azure AI, Vertex AI
Fine-tuning service for select models

Scroll within the panel for all 16 ·

Event Specifications 1

Not every API is request/response. AsyncAPI describes the event-driven and streaming side — the webhooks and channels — so the asynchronous half of the interface is documented the same way the synchronous half is.

AsyncAPI definitions for this provider's event-driven and streaming APIs.

Mistral AI Streaming Completions API

AsyncAPI definition for Mistral AI streaming completion endpoints. Mistral is OpenAI-compatible and delivers streamed completions as Server-Sent Events (SSE) over HTTP when `str...

ASYNCAPI

Semantic Vocabularies 1

JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.

JSON-LD contexts and semantic vocabularies used across these APIs.

Mistral Context

0 classes · 11 properties

JSON-LD

Spectral Rules 2

Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.

Mistral AI API Rules

9 rules · 1 errors · 8 warnings

SPECTRAL

Mistral AI API Rules

6 rules · 5 warnings

SPECTRAL

JSON Schema 52

Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.

Standalone JSON Schema definitions for this provider's data models.

AgentCompletionRequest

8 properties

JSON SCHEMA

AgentCompletionResponse

6 properties

JSON SCHEMA

AgentCompletionStreamResponse

5 properties

JSON SCHEMA

BatchJob

16 properties

JSON SCHEMA

BatchJobList

3 properties

JSON SCHEMA

Mistral Chat Completion

6 properties

JSON SCHEMA

ChatCompletionRequest

12 properties

JSON SCHEMA

ChatCompletionResponse

6 properties

JSON SCHEMA

ChatCompletionStreamResponse

5 properties

JSON SCHEMA

ChatModerationRequest

2 properties

JSON SCHEMA

Choice

3 properties

JSON SCHEMA

ContentPart

3 properties

JSON SCHEMA

CreateBatchJobRequest

5 properties

JSON SCHEMA

CreateFineTuningJobRequest

7 properties

JSON SCHEMA

DeleteFileResponse

3 properties

JSON SCHEMA

DeleteModelResponse

3 properties

JSON SCHEMA

DocumentInput

4 properties

JSON SCHEMA

Embedding

3 properties

JSON SCHEMA

EmbeddingRequest

3 properties

JSON SCHEMA

EmbeddingResponse

5 properties

JSON SCHEMA

Error

4 properties

JSON SCHEMA

ExtractedImage

6 properties

JSON SCHEMA

Mistral File

8 properties

JSON SCHEMA

FileList

3 properties

JSON SCHEMA

FimCompletionRequest

10 properties

JSON SCHEMA

FimCompletionResponse

6 properties

JSON SCHEMA

FimCompletionStreamResponse

5 properties

JSON SCHEMA

Mistral Fine-Tuning Job

13 properties

JSON SCHEMA

FineTuningJob

12 properties

JSON SCHEMA

FineTuningJobList

2 properties

JSON SCHEMA

FunctionDefinition

3 properties

JSON SCHEMA

Hyperparameters

6 properties

JSON SCHEMA

Integration

4 properties

JSON SCHEMA

Message

4 properties

JSON SCHEMA

Mistral Model

11 properties

JSON SCHEMA

ModelList

2 properties

JSON SCHEMA

ModerationRequest

2 properties

JSON SCHEMA

ModerationResponse

3 properties

JSON SCHEMA

ModerationResult

2 properties

JSON SCHEMA

OcrPage

4 properties

JSON SCHEMA

OcrRequest

6 properties

JSON SCHEMA

OcrResponse

3 properties

JSON SCHEMA

Segment

5 properties

JSON SCHEMA

StreamChoice

3 properties

JSON SCHEMA

Tool

2 properties

JSON SCHEMA

ToolCall

3 properties

JSON SCHEMA

TrainingFile

2 properties

JSON SCHEMA

TranscriptionRequest

8 properties

JSON SCHEMA

TranscriptionResponse

5 properties

JSON SCHEMA

UpdateModelRequest

2 properties

JSON SCHEMA

Usage

3 properties

JSON SCHEMA

Word

4 properties

JSON SCHEMA

Scroll within the panel for all 52 ·

JSON Structure 1

JSON Structure captures the data shapes in a form built for tooling — a complement to JSON Schema that keeps the model machine-legible.

JSON Structure definitions describing this provider's data shapes.

Mistral Structure

0 properties

JSON STRUCTURE

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.

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

Mistral Authentication

http · 1 scheme

SECURITY

Mistral Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Agentic Access 1

An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.

Recommended x-agentic-access execution contracts for AI agents.

Mistral Agentic Access

29 operations · 19 acting

29 operations · 19 acting

AGENTIC

Resources

Every other property we hold for Mistral AI — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Build 4

SDKs, sample code, and the tooling you integrate with

Access & Security 2

Authentication, authorization, and security posture

Operate 3

Status, limits, changes, and where to get help

← All providers · Data indexed from github.com/api-evangelist/mistral · machine-readable index on apis.io