Mistral AI
Mistral AI provides state-of-the-art large language models and AI APIs for developers and enterprises.
Real signal across most facets with visible, nameable gaps — the contract exists but is thin, or the portal is good while governance and commercial terms are absent.
API Evangelist profiles Mistral AI the way a machine reads it — 147 machine-readable artifacts across 13 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 52.3/100 (developing), with a separate agent-readiness read of 28/100 (agent aware). 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. Every facet and dimension name is a link: it opens that measurement's page on APIs.io, where the rating runs across the whole catalog — the exact checks that feed it, how every profiled provider distributes on it, and who is at the top of it.
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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 18
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
Mistral AI Chat Completions API
Endpoints for generating chat completions using Mistral language models in a conversational format.
Mistral AI Training Jobs API
Endpoints for creating and managing training jobs including pre-training, supervised fine-tuning, and reinforcement learning pipelines.
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 Fine-Tuning API
Fine-tuning API for customizing Mistral models on your own datasets, supporting text, vision, and classifier fine-tuning.
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 within the panel for all 18 ·
Postman Collections 8
A runnable collection turns the contract into something a developer can execute in seconds. We profile them because the fastest way to trust an API is to make a real call against it.
Ready-to-run Postman collections for exercising this provider's APIs.
Scroll within the panel for all 8 ·
Open Collections 27
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).
API Collection
OPEN COLLECTIONMistral AI Agents API
OPEN COLLECTIONMistral AI Agents API
OPEN COLLECTIONMistral AI Agents Audio API
OPEN COLLECTIONMistral AI Audio Transcription API
OPEN COLLECTIONMistral AI Agents Batch Jobs API
OPEN COLLECTIONMistral AI Batch API
OPEN COLLECTIONMistral AI Agents Chat API
OPEN COLLECTIONMistral AI Agents Chat Completions API
OPEN COLLECTIONMistral AI Chat Completions API
OPEN COLLECTIONMistral AI Chat API
OPEN COLLECTIONMistral AI Agents Embeddings API
OPEN COLLECTIONMistral AI Mistral Embeddings API
OPEN COLLECTIONMistral AI Agents Files API
OPEN COLLECTIONMistral AI Files API
OPEN COLLECTIONMistral AI Agents FIM API
OPEN COLLECTIONMistral AI FIM API
OPEN COLLECTIONMistral AI Agents Fine-Tuning Jobs API
OPEN COLLECTIONMistral AI Fine-Tuning API
OPEN COLLECTIONMistral AI Forge API
OPEN COLLECTIONMistral AI Agents Models API
OPEN COLLECTIONMistral AI Models API
OPEN COLLECTIONMistral AI Agents Moderation API
OPEN COLLECTIONMistral AI Mistral Moderation API
OPEN COLLECTIONMistral AI Agents OCR API
OPEN COLLECTIONMistral AI OCR API
OPEN COLLECTIONMistral AI Agents Training Jobs API
OPEN COLLECTIONScroll within the panel for all 27 ·
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...
GRAPHQLPricing 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 things the Kin Score reads for access clarity — renamed from commercial clarity in rubric 0.12, because a free statutory interface has access terms and no commercial ones.
Published pricing tiers and plan structures.
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
RATE LIMITSFinOps 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.
Mistral Finops
FINOPSFeatures 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.
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...
ASYNCAPISemantic 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
JSON-LDSpectral 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
SPECTRALMistral AI API Rules
SPECTRALJSON Schema 66
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.
AgentCompletionChoice
JSON SCHEMAAgentCompletionRequest
JSON SCHEMAAgentCompletionResponse
JSON SCHEMAAgentCompletionStreamResponse
JSON SCHEMAMistral AI Batch Job
JSON SCHEMABatchJob
JSON SCHEMABatchJobList
JSON SCHEMAMistral Chat Completion
JSON SCHEMAChatCompletionChoice
JSON SCHEMAChatCompletionRequest
JSON SCHEMAChatCompletionResponse
JSON SCHEMAChatCompletionStreamResponse
JSON SCHEMAChatMessage
JSON SCHEMAChatModerationRequest
JSON SCHEMAChoice
JSON SCHEMAContentPart
JSON SCHEMACreateBatchJobRequest
JSON SCHEMACreateFineTuningJobRequest
JSON SCHEMACreateTrainingJobRequest
JSON SCHEMADeleteFileResponse
JSON SCHEMADeleteModelResponse
JSON SCHEMADocumentInput
JSON SCHEMAEmbedding
JSON SCHEMAEmbeddingObject
JSON SCHEMAEmbeddingRequest
JSON SCHEMAEmbeddingResponse
JSON SCHEMAError
JSON SCHEMAExtractedImage
JSON SCHEMAMistral File
JSON SCHEMAFileList
JSON SCHEMAFimCompletionRequest
JSON SCHEMAFimCompletionResponse
JSON SCHEMAFimCompletionStreamResponse
JSON SCHEMAMistral Fine-Tuning Job
JSON SCHEMAFineTuningJob
JSON SCHEMAFineTuningJobList
JSON SCHEMAForgeHyperparameters
JSON SCHEMAFunctionDefinition
JSON SCHEMAHyperparameters
JSON SCHEMAIntegration
JSON SCHEMAMessage
JSON SCHEMAMistral Model
JSON SCHEMAModelCapabilities
JSON SCHEMAModelConfig
JSON SCHEMAModelList
JSON SCHEMAModerationRequest
JSON SCHEMAModerationResponse
JSON SCHEMAModerationResult
JSON SCHEMAMistral AI OCR Response
JSON SCHEMAOcrPage
JSON SCHEMAOcrRequest
JSON SCHEMAOcrResponse
JSON SCHEMAOcrUsage
JSON SCHEMAPageDimensions
JSON SCHEMASegment
JSON SCHEMAStreamChoice
JSON SCHEMATool
JSON SCHEMAToolCall
JSON SCHEMATrainingFile
JSON SCHEMATrainingJob
JSON SCHEMATrainingJobList
JSON SCHEMATranscriptionRequest
JSON SCHEMATranscriptionResponse
JSON SCHEMAUpdateModelRequest
JSON SCHEMAUsage
JSON SCHEMAWord
JSON SCHEMAScroll within the panel for all 66 ·
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
JSON STRUCTURESecurity 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.
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.
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.
Get Started 5
Portal, sign-up, and the first successful call
Documentation 5
Reference material describing how the API behaves
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 1
Pagination, idempotency, versioning, errors, and events
Build 6
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
Commercial 4
Pricing, plans, and the legal terms of use
Company 4
The organization behind the API
Other 1
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/mistral · machine-readable index on apis.io
This is an independent, third-party profile of Mistral AI, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.
The Kin Score and Agent Readiness rating are independently calculated assessments of a company's public API artifacts, scored against a published rubric. They are not certifications, endorsements, security assessments, or audits.
Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.
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