Does Mistral Large 3 support zero data retention?

Not by default. See the per-route data-handling section for each route's logging stance and retention window.

Where is Mistral Large 3 hosted?

Mistral Large 3 runs on crypto rails routes through the qynio gateway, with contractually enforced residency on supported providers.

Is Mistral Large 3 trained on prompts and outputs?

No. Every hosting route for Mistral Large 3 is configured so customer prompts and outputs are not used to train models by default.

Is a no-KYC deposit available for Mistral Large 3?

Yes. A no-KYC Data Processing Agreement is available on at least one route serving Mistral Large 3. Contact hello@qyn.io to receive it.

Mistral Large 3

by Mistral

Mistral Large 3 is a frontier-class, open-weight multimodal model featuring a granular mixture-of-experts architecture with 41 billion active parameters and 675 billion total parameters. Released December 2025 under the Apache 2.0 license, it combines dense and sparse computation for strong efficiency and reasoning performance. With native vision and text understanding, a 256k token context window, and strong agentic capabilities including function calling and JSON outputs, Mistral Large 3 targets complex reasoning tasks, multimodal document analysis, and code-heavy workflows. The model supports more than 40 languages, including English, French, Spanish, German, Italian, Portuguese, Dutch, Chinese, Japanese, Korean, and Arabic, making it suitable for global applications.

Open in playground Try in chat Compare

Key info

Input

Output

Features

Context window

256K

Max output

Input price

$0.50 /1M

Output price

$1.50 /1M

onchain settlement available
No training by default
no-KYC deposit available

Available routes

Mistral Large 3 runs on 1 route through the qynio gateway. Compare residency, zero retention, and training posture at a glance — full data-handling detail per route below.

Provider	Region	Zero data retention	Training	Input	Output
Mistral	EU	Not by default	No	$0.50	$1.50

Uptime and availability

Mistral Large 3 runs on a single route through the qynio gateway today, so its availability is that provider's availability.

100%route uptime, last 30 days

Single route, no failover target within this model.

Name a second model in the same request and the gateway tries it on retriable errors, so a busy hour never has to reach your users. .

Measured over the last 30 days from each provider's official status feed via StatusGator. Refreshed hourly. See uptime for every provider qynio monitors.

Data handling per route

Each route hosting Mistral Large 3 has its own privacy posture, residency, and no-KYC terms. Postures are maintained by qynio with a last-verification timestamp.

Mistral — France🇫🇷

Zero data retention is not on by default — abuse monitoring, 30-day retention. No training on customer data. EU; deposit available.

Zero data retention: Not by default — abuse monitoring, 30-day retention. Derived from the logging and moderation facts.
Training: No training on customer data.
Logging: Abuse monitoring (30-day retention)
Moderation: Not established
Caching: Not established
Subprocessor access: Not established
no-KYC deposit: deposit available
Transfer mechanism: Not applicable — data stays in EU

Get started

Call Mistral Large 3 through the qynio gateway with one API key. Let your coding agent set it up, or call it directly — qynio is drop-in compatible with the OpenAI, Anthropic, and Google AI SDKs.

Set it up with your agent

Copy this and paste it into a coding agent like Claude Code, Cursor or Codex and it'll wire up qynio for you.

Or call it directly

1import OpenAI from "openai";
2
3const client = new OpenAI({
4  apiKey: process.env.QYN_API_KEY,
5  baseURL: "https://api.qyn.io/v3/compat",
6});
7
8const completion = await client.chat.completions.create({
9  model: "mistral/mistral-large-2512",
10  messages: [{ role: "user", content: "Hello" }],
11});
12console.log(completion.choices[0].message.content);