Which Veo model should I use in Flow AI Video?
Compare Veo 3.1 Lite, Fast, and Quality using the same prompt and supported settings, then judge the result against its current credit estimate.
Flow AI Video offers Veo 3.1 Lite, Fast, and Quality in the Veo Video Generator. Choose based on the settings available in the composer, the displayed credit estimate, and the result your shot needs. A model name alone does not establish a guaranteed speed or quality outcome.
How do I make a fair comparison?
Use the same prompt and reference image for each version. Choose a duration, resolution, and aspect ratio supported by the models you want to compare. Record those settings and the credit estimate before submitting.
For example, ask for one slow camera move around a product. Compare the continuity of the movement, the product outline, and the background. A different prompt or longer duration would make it harder to isolate the model choice.
Where do I see the cost?
Select the model in the composer and review the current estimate beside Generate. Settings and provider configuration affect the available options and cost, so this guide does not publish a fixed per-video price table.
If the balance is too low, the credit dialog lets you visit pricing or keep editing. The blocked request does not begin. Choose a supported setting with a suitable estimate rather than assuming a model label always means a particular price.
What should I compare in the output?
Watch the full video in Create. Look for motion that follows the brief, stable details, readable packaging where relevant, and an ending you can use. A take that looks attractive but changes the product may be unsuitable for your project.
Change one variable for the next comparison. Stop when a result meets the purpose of the shot rather than generating variations without a review criterion.
Can I compare other model families?
The model directory links to the available video and image families, including shared Seedance and GPT Image version pages. Check each family’s supported inputs and settings before reusing the same brief.