Seedance
A video-focused family for cinematic motion from prompts, stills, and creative references.
There is no single best AI video model
Model quality is specific to the shot. A model that performs well on slow cinematic camera movement may not be the best choice for dialogue, a complex physical action, stylized animation, or strict adherence to a reference image.
Choose using a representative test. Keep the prompt, input image, duration, and aspect ratio constant, then compare motion quality, subject stability, camera control, prompt adherence, generation time, and usable output rate.
Match the model to the input
Text-to-video is useful when the scene can be described clearly and you want the model to invent the composition. Image-to-video is better when the subject, framing, or visual identity already exists. Models also differ in how strongly they preserve the source frame once motion begins.
For a longer sequence, consistency matters alongside the quality of one clip. Preserve prompts and references, use the same visual constraints across shots, and test recurring subjects before generating every scene.
- Text-to-video prompt adherence
- Image-to-video reference stability
- Camera and subject motion
- Dialogue, ambience, or native audio needs
- Speed, duration, resolution, and aspect ratio
Model capabilities change over time
Variants, limits, and provider capabilities can change. Open the individual model page before starting important work to compare the current family details.
