Does Deep Research Max Preview support zero data retention?

With abuse monitoring, yes. On Google Cloud through the Opper gateway, prompts and outputs are not used for training and are kept only for abuse monitoring.

Where is Deep Research Max Preview hosted?

Deep Research Max Preview runs on US hosting routes through the Opper gateway.

Is Deep Research Max Preview trained on prompts and outputs?

No. Every hosting route for Deep Research Max Preview is configured so customer prompts and outputs are not used to train models by default.

Is a GDPR DPA available for Deep Research Max Preview?

Yes. A GDPR Data Processing Agreement is available on at least one route serving Deep Research Max Preview. Contact hello@opper.ai to receive it.

Deep Research Max Preview

by Google

Deep Research Max Preview is Google's higher-tier research-focused model, built for long-running, accuracy-critical investigations. It autonomously conducts multi-step research across many public web sources and synthesizes the findings into comprehensive, cited reports, using extended thinking for the harder reasoning steps. The model accepts text and images along with documents, so it can pull visual material into a research workflow, and it produces structured output for downstream use. With extended thinking and a 128k context window, it suits investigative tasks that demand depth, breadth of sourcing, and careful synthesis.

Call Deep Research Max Preview on Opper with the OpenAI SDK. Sign up without a credit card. Get started

Get your API key Try in chat Compare

Key info

Input

Output

Features

Context window

131K

Max output

66K

Input price

$2.00 /1M$0.20 cache read

Output price

$12.00 /1M

US residency available
Zero data retention with abuse monitoring
No training by default
GDPR DPA available

Available routes

Deep Research Max Preview 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.

Provider	Region	Zero data retention	Training	Input	Output	Cache read
Google Cloud	US		No	$2.00	$12.00	$0.20

Uptime and availability

Deep Research Max Preview runs on a single route through the Opper gateway today, so its availability is that provider's availability.

99.40%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 Deep Research Max Preview has its own privacy posture, residency, and GDPR terms. Postures are maintained by Opper with a last-verification timestamp.

Google Cloud — United States🇺🇸

Zero data retention with abuse monitoring: prompts and outputs are kept for abuse monitoring only, for a window the provider does not state, and are not used for training. No training on customer data. US; SCCs; DPA available.

Zero data retention: With abuse monitoring, window not stated.
Training: No training on customer data.
Logging: Abuse monitoring
Abuse monitoring: On by default, holds flagged content, 55 days, a person can view samples
GDPR DPA: DPA available
Transfer mechanism: SCCs

Get started

Call Deep Research Max Preview through the Opper gateway with one API key. Opper is drop-in compatible with the OpenAI, Anthropic and Google AI SDKs.

Deep Research Max Preview 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: "gemini/deep-research-max-preview-04-2026",
10  messages: [{ role: "user", content: "Hello" }],
11});
12console.log(completion.choices[0].message.content);