Does GPT Realtime 2 support zero data retention?

With abuse monitoring, yes. On OpenAI through the Opper gateway, prompts and outputs are not used for training and are kept only for abuse monitoring, for up to 30 days.

Where is GPT Realtime 2 hosted?

GPT Realtime 2 runs on US hosting routes through the Opper gateway.

Is GPT Realtime 2 trained on prompts and outputs?

No. Every hosting route for GPT Realtime 2 is configured so customer prompts and outputs are not used to train models by default.

Is a GDPR DPA available for GPT Realtime 2?

Yes. A GDPR Data Processing Agreement is available on at least one route serving GPT Realtime 2. Contact hello@opper.ai to receive it.

GPT Realtime 2

by OpenAI

GPT Realtime 2, released in May 2026, is OpenAI's first voice model with GPT-5-class reasoning, built for complex voice-agent workflows that need deeper reasoning and tool coordination. It accepts text, audio, and image inputs and produces text and audio outputs. The model operates with a 128,000 token context window and up to 32,000 output tokens, with configurable reasoning effort levels (minimal, low, medium, high, xhigh). Against GPT Realtime 1.5 it lifts Big Bench Audio from 81.4 to 96.6 and Audio MultiChallenge from 34.7 to 48.5. It handles interruptions, corrections, and parallel tool execution while keeping conversation natural, and can pause to reason before responding, making it well suited to agentic voice applications.

Call GPT Realtime 2 on Opper with the OpenAI SDK. Sign up without a credit card. Get started

Open in playground Try in chat Compare

Key info

Input

Output

Features

Context window

—

Max output

—

Input price

$4.00 /1M$0.40 cache read

Output price

$24.00 /1M

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

Available routes

GPT Realtime 2 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
OpenAI	US		No	$4.00	$24.00	$0.40

Uptime and availability

GPT Realtime 2 runs on a single route through the Opper gateway today, so its availability is that provider's availability.

94.85%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 GPT Realtime 2 has its own privacy posture, residency, and GDPR terms. Postures are maintained by Opper with a last-verification timestamp.

OpenAI — United States🇺🇸

Zero data retention with abuse monitoring: prompts and outputs are kept for up to 30 days for abuse monitoring only, and are not used for training. No training on customer data. US; SCCs; DPA available.

Zero data retention: With abuse monitoring, 30-day window.
Training: No training on customer data.
Logging: Abuse monitoring (30-day retention)
Abuse monitoring: On by default, holds flagged content, 30 days, a person can view samples
Caching: Content cached for replay
GDPR DPA: DPA available
Transfer mechanism: SCCs

Get started

Call GPT Realtime 2 through the Opper gateway with one API key. Opper is drop-in compatible with the OpenAI, Anthropic and Google AI SDKs.

GPT Realtime 2 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: "openai/gpt-realtime-2",
10  messages: [{ role: "user", content: "Hello" }],
11});
12console.log(completion.choices[0].message.content);