| Provider | Google Gemini Omni | Google DeepMind Veo | ByteDance Seedance |
| Best For | Conversational video editing, prompt-to-video, image-to-video, and reference-guided iteration | Cinematic generation, native audio, image-guided shots, and production previsualization | Multi-shot stories, native audio-video generation, lip-sync, and complex multimodal references |
| Official Positioning | Create and edit video from any input, with world understanding and conversational refinement | Leading video generation model for filmmakers and storytellers, with realism, prompt adherence, and audio | Native multimodal audio-video generation model for text, image, audio, and video inputs |
| Input Modes on PoYo | Prompt only, 1 image, 3 images, or 1 video URL | Prompt, image guidance, first/last frames, reference images, or video extension depending on tier | Text, image, video, and audio reference workflows through the Seedance 2 API page |
| Output and Audio | Video output on PoYo; official model card describes high-resolution video with audio | Video with native audio or silent output depending on model settings | Native audio-video joint generation with dialogue, SFX, music, and ambience |
| Resolution on PoYo | 720p, 1080p | 720p or 1080p depending on tier | 480p, 720p, 1080p depending on model |
| Duration on PoYo | 4s, 6s, 8s, 10s for no-video-input jobs; video input uses its own mode | Usually 4s, 6s, or 8s generation; extension supports source-video continuation | 4-15 seconds, billed per second |
| Published Evaluation Status | Google says detailed T2VA, I2VA, R2VA, editing, and image generation evaluations will be shared when developer and enterprise APIs roll out | Google publishes Veo 3.1 preference, alignment, visual quality, audio-video alignment, and physics claims | Seedance 2.0 model card reports broad improvements and leading-level performance in expert and public user tests |
| Choose This When | You need Google Omni Flash search coverage, conversational editing language, and compact PoYo API controls | You need a mature cinematic model with native audio options and stronger public benchmark evidence | You need longer multi-shot clips, audio/lip-sync workflows, and richer multimodal references |