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AI Video Models · Side by side

Seedance 2.0 vs Veo

vs

Veo 3.1 and Seedance 2.0 are the two most director-friendly video models: both do native audio, reference images and first-to-last-frame control. The split is ecosystem versus input bandwidth, Veo lives inside Google's Gemini and Flow tooling, while Seedance accepts video and audio files as references on top of images, twelve files per generation.

Seedance 2.0

ByteDance's multimodal AI video model

Veo

Google DeepMind's video model with native audio

Side by side

Seedance 2.0Veo
VendorByteDanceGoogle DeepMind
InputsText + up to 9 images, 3 video clips, 3 audio tracks per runText + image prompts and reference images
Clip length4-15 s per generation, up to 1080p~8 s base clips, extendable in Flow
AudioStereo audio in the same pass, lip-sync in 8+ languagesNative audio, dialogue, music and SFX
Shot controlTime-coded multi-shot prompting, first-last frameFirst-last frame, scene extension and editing in Flow
AccessPartner platforms and the Volcengine / BytePlus APIGemini app, Flow, and the Gemini / Vertex AI API

The Verdict

Pick Veo if you're already in Google's ecosystem, Flow's scene extension and editing make it the strongest iterate-after-generation workflow. Pick Seedance 2.0 when the generation itself needs more direction: motion clips, audio tracks and character sheets all conditioning a single pass.

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Frequently asked questions

Do Seedance and Veo both support first and last frame control?

Yes. Both interpolate motion between a supplied opening and closing frame. Seedance does it through @Image tags in the prompt; Veo exposes it in Flow and the API.

Which handles multi-shot sequences better?

Differently: Seedance lets you time-code shots inside one 15-second generation ([0-4s]:, [4-9s]:, and so on); Veo builds sequences by extending and stitching clips in Flow.

Where do I learn Seedance's prompt syntax?

Our Seedance 2.0 prompt guide covers the full system, the 5-layer stack, camera and lighting keywords, constraints and the @ reference tags.

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