Does Ministral 3 8B support zero data retention?

Yes. Ministral 3 8B is available with zero data retention on AWS Bedrock through the Opper gateway.

Where is Ministral 3 8B hosted?

Ministral 3 8B runs on US hosting routes through the Opper gateway.

Is Ministral 3 8B trained on prompts and outputs?

No. Every hosting route for Ministral 3 8B is configured so customer prompts and outputs are not used to train models by default.

Is a GDPR DPA available for Ministral 3 8B?

Yes. A GDPR Data Processing Agreement is available on at least one route serving Ministral 3 8B. Contact hello@opper.ai to receive it.

Ministral 3 8B

by Mistral

Versions:Ministral 3 8BMinistral 3 8B

Mistral's efficient 8 billion parameter model delivers solid reasoning, world knowledge, and function-calling capabilities with a 128k token context window. Built for rapid inference and low memory overhead, Ministral 8B serves developers seeking a lightweight alternative to larger models while maintaining language understanding and instruction following. The model is succeeded by Ministral 3 8B (released December 2025), which expands context to 256k tokens, adds vision, and supports structured output. For new deployments, Ministral 3 8B is the recommended option.

Call Ministral 3 8B 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

128K

Max output

Input price

$0.15 /1M

Output price

$0.15 /1M

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

Available routes

Ministral 3 8B 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. Its route also sells flex and priority processing: the same model at another price, picked per request with service_tier. How service tiers work.

Provider	Region	Zero data retention	Training	Input	Output	Cache read
AWS Bedrock	US		No	$0.15	$0.15	Input price

Live routes and prices as JSON: api.opper.ai/v3/models?q=aws%2Fministral-8b

Uptime and availability

Ministral 3 8B 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 Ministral 3 8B has its own privacy posture, residency, and GDPR terms. Postures are maintained by Opper with a last-verification timestamp.

AWS Bedrock — United States🇺🇸

Zero data retention: nothing is logged, held for abuse monitoring or used for training. No training on customer data. US; SCCs; 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: Always on, keeps nothing
Subprocessor access: No subprocessor reads content
GDPR DPA: DPA available
Transfer mechanism: SCCs

Get started

Call Ministral 3 8B through the Opper gateway with one API key. Opper is drop-in compatible with the OpenAI, Anthropic and Google AI SDKs.

Ministral 3 8B 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: "aws/ministral-8b",
10  messages: [{ role: "user", content: "Hello" }],
11});
12console.log(completion.choices[0].message.content);