When was Mistral Medium 3.5 released?

Mistral released Mistral Medium 3.5 on 29 Apr 2026. It is available through the Opper gateway.

Does Mistral Medium 3.5 support zero data retention?

Yes. Mistral Medium 3.5 is available with zero data retention on Mistral through the Opper gateway.

Where is Mistral Medium 3.5 hosted?

Mistral Medium 3.5 runs on EU hosting routes through the Opper gateway, with contractually enforced residency on supported providers.

Is Mistral Medium 3.5 trained on prompts and outputs?

No. Every hosting route for Mistral Medium 3.5 is configured so customer prompts and outputs are not used to train models by default.

Is a GDPR DPA available for Mistral Medium 3.5?

Yes. A GDPR Data Processing Agreement is available on at least one route serving Mistral Medium 3.5. Contact hello@opper.ai to receive it.

Mistral Medium 3.5

by Mistral

Released 44 days after Mistral Small 4 · All Mistral releases

Mistral Medium 3.5 from Mistral — text model on the Opper gateway.

Call Mistral Medium 3.5 on Opper with the OpenAI SDK. Sign up without a credit card. Get started

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Key info

Input

Output

Features

Context window

262K

Max output

—

Input price

$1.50 /1M

Output price

$7.50 /1M

Released

29 Apr 2026

EU residency available
Zero data retention on pay-as-you-go
No training by default
GDPR DPA available

Available routes

Mistral Medium 3.5 runs on 1 route through the Opper gateway. Compare residency, zero data retention and training posture at a glance, with full data-handling detail per route below. In the EU it is served by Mistral (France). See every Mistral model hosted in the EU.

Provider	Region	Zero data retention	Training	Input	Output	Cache read
Mistral	EU		No	$1.50	$7.50	Input price

Uptime and availability

Mistral Medium 3.5 runs on a single route through the Opper 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. Set up a fallback chain.

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

Data handling per route

Each route hosting Mistral Medium 3.5 has its own privacy posture, residency, and GDPR terms. Postures are maintained by Opper with a last-verification timestamp.

Mistral — France🇫🇷

Zero data retention: nothing is logged, held for abuse monitoring or used for training. No training on customer data. EU; DPA available.

Zero data retention: Yes. Nothing is logged, held for abuse monitoring or used for training.
Training: No training on customer data.
Logging: None
Abuse monitoring: No classifier
Caching: Content cached for replay
GDPR DPA: DPA available
Transfer mechanism: Not applicable — data stays in EU

Benchmarks

Independent benchmark scores — composite indices for reasoning, coding, and math, plus individual eval scores where available.

Global rank#294 of 677 LLMs

TierEfficient

Output speed164 tok/s

First token0.62s

Intelligence Index14.2

Coding Index46.9

Reasoning & knowledge

GPQA Diamond

75%

Humanity's Last Exam

14%

Long-context reasoning

69%

Coding

SciCode

40%

Agentic & tool use

Terminal-Bench Hard

33%

τ²-Bench Telecom

94%

Math & instruction following

IFBench

69%

See full leaderboard →Benchmarks via Artificial Analysis · View on AA

Get started

Call Mistral Medium 3.5 through the Opper gateway with one API key. Opper is drop-in compatible with the OpenAI, Anthropic and Google AI SDKs.

Mistral Medium 3.5 is a premium model on Opper. Sign up needs no credit card: you get an API key straight away and the free models work in the playground and the API. Add a card to use premium models, pay-as-you-go with no minimum.

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 Opper for you.

Or call it directly

1import OpenAI from "openai";
2
3const client = new OpenAI({
4  apiKey: process.env.OPPER_API_KEY,
5  baseURL: "https://api.opper.ai/v3/compat",
6});
7
8const completion = await client.chat.completions.create({
9  model: "mistral:eu/mistral-medium-3.5",
10  messages: [{ role: "user", content: "Hello" }],
11});
12console.log(completion.choices[0].message.content);