Does Bria-3.2 support zero data retention?

Yes. Bria-3.2 is available with zero data retention on DeepInfra through the Opper gateway.

Where is Bria-3.2 hosted?

Bria-3.2 runs on US hosting routes through the Opper gateway.

Is Bria-3.2 trained on prompts and outputs?

No. Every hosting route for Bria-3.2 is configured so customer prompts and outputs are not used to train models by default.

Is a GDPR DPA available for Bria-3.2?

Yes. A GDPR Data Processing Agreement is available on at least one route serving Bria-3.2. Contact hello@opper.ai to receive it.

Bria-3.2

by Bria

Bria-3.2 is a rectified flow transformer text-to-image model with 4 billion parameters that generates images from natural language prompts. It delivers strong text rendering with a 70 percent OCR score, up from 5 percent in its predecessor, and achieves user preference scores around 65 percent higher than Bria-3.1. The model is roughly three times smaller than competing open-source text-to-image alternatives that typically run at 12 billion parameters, while delivering on-par quality to leading models. It supports multiple aspect ratios at around one million pixels of total resolution, runs efficiently with 30 to 50 inference steps, and fine-tunes about two times faster on professional GPUs such as the L40S and A100. Bria-3.2 trains exclusively on licensed data from leading content partners and includes commercial legal protections covering copyright and privacy claims. It is available via API, ComfyUI integration, or as source code and weights for commercial applications.

Call Bria-3.2 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

Pricing

$0.04 / generation

Billing

Per generation

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

Pricing

Usage-based pricing, billed per generation, not by token.

Variant	Price
Standard	$0.04 / generation

Available routes

Bria-3.2 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	Price
DeepInfra	US		No	$0.04 / generation

Uptime and availability

Bria-3.2 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 Bria-3.2 has its own privacy posture, residency, and GDPR terms. Postures are maintained by Opper with a last-verification timestamp.

DeepInfra — United States🇺🇸

Zero data retention: nothing is logged, held for abuse monitoring or used for training. No training on customer data. US; unknown; 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
GDPR DPA: DPA available
Transfer mechanism: unknown

Get started

Call Bria-3.2 through the Opper gateway with one API key. Opper is drop-in compatible with the OpenAI, Anthropic and Google AI SDKs.

Bria-3.2 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: "deepinfra/Bria/Bria-3.2",
10  messages: [{ role: "user", content: "Hello" }],
11});
12console.log(completion.choices[0].message.content);