Bria API vs Qwen-Image 2.1 (Model Studio)

Bria API

Per-image prices, 100 free calls without a card, OpenAPI files and Markdown docs make a first call quick, and the terms warrant that customer content is not used for training. Keys are organisation-wide with no scopes, and the API has no changelog or deprecation policy.

Qwen-Image 2.1 (Model Studio)

qwen-image-2.1-pro generates and edits images with up to 10 references and transparent output, at $0.04 an image in Singapore, through an OpenAI-compatible endpoint or DashScope. Model Studio publishes a 99.9 per cent SLA and a no-training statement. The model allows 20 requests a minute, has no OpenAPI file, and its open weights are for non-commercial use only.

Bria API

1. Send the key in the api_token header, not as Authorization: Bearer. Only /v2/image/verify and /v2/video/verify work without it
2. Expect 202 with request_id and status_url from v2 endpoints. Poll GET /v2/status/{request_id} every 1 to 2 seconds, or pass sync: true
3. Status polls count towards the per-endpoint limit (10 a minute on Free, 60 on Pay-as-you-go), so prefer webhook_url for batches
4. Download results promptly. Image URLs expire after 3 days by default, and legacy /v1/product/* results after 1 hour
5. Do not resend a failed POST blindly. There is no idempotency key, and the SDKs retry status polls only

Qwen-Image 2.1 (Model Studio)

1. Use the same region for the key, the model and the endpoint. Cross-region calls fail
2. Download each result within 24 hours. The URL expires and the image is purged
3. With the OpenAI SDK, pass image, seed, prompt_extend and watermark through extra_body, and write size as 1024x1024, not 1024*1024
4. Set a client timeout of up to 600 seconds for several outputs, or use the async DashScope call and poll the task id
5. Do not send prompt_extend_mode: agent with input images. It returns 400