Vidu Q3 Pro and Turbo - test the same shot
Compare Vidu Q3 Pro and Turbo using the same prompt and reference. Score motion, image fidelity and cost under matching supported settings.
The Jantaris catalog contains Vidu Q3 Pro and Vidu Q3 Turbo. The variant name does not settle which output works better for your particular shot. Compare them using the same purpose, source material and settings supported by both forms.
Prepare the shot
- Write one prompt and a concrete acceptance condition, such as stable movement without changing the object.
- Choose a duration and resolution offered by both models.
- Use the same reference file. Some aspect-ratio behavior follows the image input.
- Record each estimate before generating, using matching settings rather than headline starting prices.
- Review without model labels and score fidelity, movement and edit usability separately.
- Repeat only when needed to decide; one successful output does not guarantee an entire series.
Review before publication
- Identical prompt and source.
- Separate quality and cost scores.
- No speed claims without a measured run.
API input example
The JSON below is the request body for POST /v1/generate. Use your own accessible image URL where a reference is required.
{
"model": "vidu-q3-pro",
"input": {
"prompt": "A red paper boat floating slowly on still water, fixed camera, soft morning light, no text"
}
}Model and cost
Use Vidu Q3 Pro. Its current unit price is from $0.142 per second. Check the pricing page and calculator for your settings. Credits never expire, there is no subscription and failed generations are free. A successful output is billable even if you choose not to publish it.
FAQ
Does this guide cover Vidu Q4?
No. It covers the Q3 variants present in the catalog and makes no claims about unlisted models.
Can I check the request before a paid run?
Yes. Check the model schema and the cost shown in Studio. Local demo API tests validate request handling but do not prove the visual or audio quality of the real model.
Where are the supported parameters?
Model details and the generation API guide list the supported inputs. Preview mode does not provide a real generated result.












