Does Gemma 4 31B IT support zero data retention?

Yes. Gemma 4 31B IT is available with zero data retention by default on Berget, DeepInfra, Novita through the Opper gateway.

Where is Gemma 4 31B IT hosted?

Gemma 4 31B IT runs on both EU and US hosting routes through the Opper gateway. Pick the route that matches your residency requirement.

Is Gemma 4 31B IT trained on prompts and outputs?

No. Every hosting route for Gemma 4 31B IT is configured so customer prompts and outputs are not used to train models by default.

Is a GDPR DPA available for Gemma 4 31B IT?

Yes. A GDPR Data Processing Agreement is available on at least one route serving Gemma 4 31B IT. Contact hello@opper.ai to receive it.

Gemma 4 31B IT

by Google

Gemma 4 31B IT is the instruction-tuned version of the dense 31-billion parameter flagship, tuned for chat, task completion, and agentic workflows. It accepts text, image, and video inputs and carries a 256K token context window for handling extensive documents and conversations. The model supports native function calling, structured output, configurable thinking modes for step-by-step reasoning, and multilingual understanding across more than 140 languages. Built for both complex reasoning and local execution, Gemma 4 31B IT handles coding, multimodal analysis, and agent-driven tasks, while a hybrid attention design keeps long-context processing efficient. Instruction tuning improves natural conversation and adherence to system prompts. Released April 2, 2026, under the Apache 2.0 license.

Open in playground Try in chat Compare

Key info

Input

Output

Features

Context window

131K

Max output

—

Input price

$0.29 /1M

Output price

$0.59 /1M

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

Available routes

Gemma 4 31B IT runs on 3 different routes through the Opper gateway. Compare residency, ZDR, and training posture at a glance — full data-handling detail per route below.

Provider	Region	Zero data retention	Training	Input	Output
Berget	EU	Zero data retention	No	$0.29	$0.59
DeepInfra	US	Enterprise	No	$0.13	$0.38
Novita	US	Enterprise	No	$0.14	$0.40

Training posture across routes: No training on prompts by default.

Data handling per route

Each route hosting Gemma 4 31B IT has its own privacy posture, residency, and GDPR terms. Postures are maintained by Opper with a last-verification timestamp.

Berget — Sweden🇸🇪

Zero data retention is on by default on Pay-as-you-go — no action required. No training on customer data. EU; DPA available.

Zero data retention: On by default on Pay-as-you-go.
Training: No training on customer data.
Logging: None
Third-party access: None disclosed
GDPR DPA: DPA available
Transfer mechanism: Not applicable — data stays in EU

DeepInfra — United States🇺🇸

Zero data retention is available via Opper Enterprise contract. No training on customer data. US; unknown.

Zero data retention: Available via Opper Enterprise contract.
Training: No training on customer data.
Logging: Limited debug logs
Third-party access: None disclosed
GDPR DPA: No DPA
Transfer mechanism: unknown

Novita — United States🇺🇸

Zero data retention is available via Opper Enterprise contract. No training on customer data. US; SCCs; DPA available.

Zero data retention: Available via Opper Enterprise contract.
Training: No training on customer data.
Logging: Abuse monitoring
Third-party access: None disclosed
GDPR DPA: DPA available
Transfer mechanism: SCCs

Get started

Call Gemma 4 31B IT through the Opper gateway with one API key. Let your coding agent set it up, or call it directly — Opper is drop-in compatible with the OpenAI, Anthropic, and Google AI SDKs.

Set it up with your agent

Copy this and paste it into your coding agent — Claude Code, Cursor, Codex, and more — 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: "berget/gemma-4-31b-it",
10  messages: [{ role: "user", content: "Hello" }],
11});
12console.log(completion.choices[0].message.content);