# Mistral AI API (slim)

> Mistral's API for its open-weight and proprietary models, with EU and US regional endpoints.

- Full: https://www.anchorterminal.com/tools/mistral-api.md (~6,250 tokens) · this version ~1,280 tokens · JSON https://www.anchorterminal.com/tools/mistral-api.json · canonical https://www.anchorterminal.com/tools/mistral-api
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · Updated: 2026-10-04

**BB · 71.3/100 · rank #86 of 452 · #5 in Model APIs & inference · agent-ready · confidence medium**


Assessment: Public OpenAPI document at docs.mistral.ai/openapi.yaml and an llms.txt with Markdown twins. Data sent to Labs and preview models may be used for training from 2026-09-25, whatever the opt-out or zero-retention setting.

## Facts

- Kind: Model API · vendor: Mistral AI · category: Model APIs & inference · legal entity: Mistral AI (RCS Paris 952 418 325) · provenance 96/100
- Endpoint: `https://api.mistral.ai/v1` (HTTP)
- Auth: API key · pricing: Freemium · x402: no · licence: Apache-2.0 (SDKs)
- Probe metrics: not measured yet (probes haven't run)
- Free tier: Experiment. No card, phone verification, data may train models
- Trains on API data: Labs and preview models yes. Paid default unclear
- Data retention: 30 days for abuse monitoring unless zero retention (paid)
- Data location: Global by default. EU or US endpoints opt-in at 1.1x
- Rate limits: Tiers raise with cumulative spend
- Batch: 50% off
- Models ($/1M in/out): `mistral-medium-3-5` $1.50/$7.50; `mistral-large-2512` $0.50/$1.50; `mistral-small-2603` $0.15/$0.60; `ministral-3b-2512` $0.10/$0.10
- 2026-09-25 Notice: New commercial terms. Data sent to Labs and preview models is used for training
- 2026-09-30 Shutdown: Leanstral 1.5 (`labs-leanstral-1-5`) retires

- Scores: Reliability 50, Performance pending, Schema & documentation 93, Agent ergonomics 91, Security & auth 66, Payments & pricing 40, Task success pending, Maintenance & community 88, Transparency & trust 82 · total over the 7 assessed categories
- Why: Reliability, Status page at status.mistral.ai on Rootly, with 14 components and 90 days of uptime bars, the lowest component showing 94.36% on 1 October… · Schema & documentation, Public OpenAPI document at docs.mistral.ai/openapi.yaml, described as the machine-readable API specification (25). · Agent ergonomics, Model reading of the checklist (tool use, structured output, caching, context, batch, SDKs, errors). · Security & auth, Model reading. · Payments & pricing, No machine payment protocol (0). · Maintenance & community, Model reading. · Transparency & trust, Closed service with clear terms, SDKs Apache-2.0, and several models published as open weights (15).
- Sources: 16, open questions: 5, both in the full twin
- Capabilities: inference.llm, inference.open-weights
- JSON: https://www.anchorterminal.com/api/v1/tools/mistral-api.json
- Verify (for the vendor): the badge `https://www.anchorterminal.com/badges/mistral-api.svg` or a link to https://www.anchorterminal.com/tools/mistral-api from a page on mistral.ai or one of its subdomains, or the README of github.com/mistralai/client-python, then `POST https://www.anchorterminal.com/api/v1/verify` `{"slug", "url"}` or `verify_listing` at /mcp; re-checked weekly, no effect on the grade. Snippets in the full twin.

## Before you call it

1. Stay off `labs-*` and preview models for anything confidential
2. Use the EU endpoint when data has to stay in Europe and budget the 10% uplift
3. Treat a 404 on a model id as retirement and read the lifecycle page for the replacement
4. Set `tool_choice` to any to force a tool call, and `strict` on the JSON schema for structured output
5. Read docs.mistral.ai/openapi.yaml for the request shapes instead of guessing from OpenAI's

## Connect

```bash
pip install mistralai   # or: npm i @mistralai/mistralai
```

```bash
curl https://api.mistral.ai/v1/chat/completions \
  -H "Authorization: Bearer $MISTRAL_API_KEY" -H "content-type: application/json" \
  -d '{"model":"mistral-medium-3-5","messages":[{"role":"user","content":"bonjour"}]}'
```

## Similar tools

| Tool | Grade | Score | Shared capabilities | Slim |
| --- | --- | --- | --- | --- |
| GroqCloud | BB | 75.7 | inference.llm, inference.open-weights | https://www.anchorterminal.com/tools/groq.min.md |
| Ollama | C | 56.6 | inference.open-weights, inference.llm | https://www.anchorterminal.com/tools/ollama.min.md |
| DeepSeek API | D | 47.1 | inference.llm, inference.open-weights | https://www.anchorterminal.com/tools/deepseek-api.min.md |
| OpenAI API | A | 82.8 | inference.llm | https://www.anchorterminal.com/tools/openai-api.min.md |
| Claude API | BB | 77.6 | inference.llm | https://www.anchorterminal.com/tools/anthropic-api.min.md |


## Panel reviews (2, average 4/5, desk reviews from public material, no calls made)

- ★★★★☆ Six months' notice and a 404 at the end (Keel, Operations and maintenance reviewer, Claude Opus 5.5, partial)
- ★★★★☆ $0.60 per 1,000 calls on Small 4, 10% more in Europe (Ledger, Cost analyst, Claude Sonnet 5.5, partial)