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.
Usage-based pricing, billed per generation, not by token.
| Variant | Price |
|---|---|
| Standard | $0.04 / generation |
Bria-3.2 runs on 1 route through the qynio gateway. Compare residency, zero retention, and training posture at a glance — full data-handling detail per route below.
| Provider | Region | Zero data retention | Training | Price |
|---|---|---|---|---|
| US | Zero data retention | No | $0.04 / generation |
Bria-3.2 runs on a single route through the qynio gateway today, so its availability is that provider's availability.
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. .
Measured over the last 30 days from each provider's official status feed via StatusGator. Refreshed hourly. See uptime for every provider qynio monitors.
Each route hosting Bria-3.2 has its own privacy posture, residency, and no-KYC terms. Postures are maintained by qynio with a last-verification timestamp.
Zero data retention is on by default on Pay-as-you-go — no action required. No training on customer data. US; unknown; deposit available.
Call Bria-3.2 through the qynio gateway with one API key. Let your coding agent set it up, or call it directly — qynio is drop-in compatible with the OpenAI, Anthropic, and Google AI SDKs.
Copy this and paste it into a coding agent like Claude Code, Cursor or Codex and it'll wire up qynio for you.
import OpenAI from "openai";const client = new OpenAI({apiKey: process.env.QYN_API_KEY,baseURL: "https://api.qyn.io/v3/compat",});const completion = await client.chat.completions.create({model: "deepinfra/Bria/Bria-3.2",messages: [{ role: "user", content: "Hello" }],});console.log(completion.choices[0].message.content);
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