Seedance 2.0 vs Veo 3.1: which AI video model fits your creative workflow?

Seedance 2.0 gives you more flexibility in what you can use to guide the generation. Mix text with images, existing videos, and audio, and the model can reference elements such as composition, movement, camera direction, visual effects, and sound. Veo 3.1 gives you a more defined set of controls for shaping the scene itself, including character and object references, style references, motion controls, First and Last Frame, and Scene Extension.

Veo 3.1 is a strong choice when realism and control over the individual shot matter most. Give it reference images to maintain characters, objects, or the look of a scene, define movement with Motion Controls, or set the first and last frames to guide how a shot develops. Scene Extension lets you continue an existing clip while maintaining visual and audio consistency, while native audio adds dialogue, ambient sound, and effects directly to the generated video.

Seedance 2.0 puts particular emphasis on motion stability, physical accuracy, and complex interactions between multiple subjects. ByteDance says the model has been improved specifically for complex motion scenarios, alongside stronger consistency and instruction following. Veo 3.1 also focuses heavily on realistic physics and prompt adherence, with Google positioning realism and fidelity as core improvements. Both are designed for convincing motion, but Seedance puts more emphasis on handling complex movement, while Veo puts more emphasis on realism and accurately following the requested scene.