J JJAPI
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Mistral AI

Mistral API β€” European-sovereign models, no separate account.

mistral-large, mistral-small, codestral, and mixtral β€” fast, license-friendly European LLMs through one OpenAI-compatible endpoint.

Get my API key β†’ Quickstart in 30 seconds β†’

Latest models as of 2026-05-23

See all models β†’
mistral-medium-2-latest balanced

Production sweet spot. Lower cost than Large with similar capability for most tasks.
codestral-2-latest specialized

Code-specialized model with strong fill-in-the-middle. Used in many IDE integrations.
mistral-large-2-latest flagship

Mistral's top closed-weight model. EU-hosted option available for GDPR-strict workloads.

Why use JJAPI for this API

European data residency option

We can route your Mistral requests to EU-hosted endpoints for GDPR-sensitive workloads.

Code completion via FIM

Codestral supports fill-in-the-middle, perfect for editor integrations like Continue and Cody.

Permissive licensing

Mixtral models are Apache-2.0 β€” safe for commercial use and self-hosting.

OpenAI-compatible

Drop-in replacement for Mistral's own API with broader rate limits.

example.py 
from openai import OpenAI

client = OpenAI(
    base_url="https://api.jjapi.net/v1",
    api_key="sk-jjapi-...",
)

r = client.chat.completions.create(
    model="mistral-medium-2-latest",  # current as of 2026-05-23
    messages=[{"role": "user", "content": "Hi"}],
)
print(r.choices[0].message.content)

Frequently asked

Can I use Mistral for GDPR-strict workloads?

Yes β€” request EU-only routing in your console settings and your traffic will only hit Mistral's Paris infrastructure.

Does codestral support FIM (fill-in-the-middle)?

Yes β€” pass 'prompt' and 'suffix' params to /v1/completions and codestral fills the gap. Useful for IDE-style autocomplete.

What's the difference between mistral-large and mixtral?

mistral-large is closed-weight and Mistral's strongest model. mixtral-8x22b is open-weight, slightly weaker but Apache-2.0 licensed for self-hosting.

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