Veo 3.1 Fast is a high-speed video generation model developed by Google DeepMind, designed as a performance-optimized variant of the Veo 3.1 architecture. It is engineered to provide faster inference times—approximately 2.2 times faster than the standard model—and lower operational costs, making it suitable for rapid prototyping, social media content, and iterative creative workflows.
The model generates high-fidelity video with native audiovisual integration, producing synchronized sound effects, ambient noise, and dialogue directly within the generation process. It supports multiple cinematic and mobile-friendly aspect ratios, including 16:9 and 9:16, and can generate footage at resolutions up to 1080p or 4K depending on the specific configuration used.
Technically, Veo 3.1 Fast emphasizes improved prompt adherence and physics simulation, building on Google's generative video research. It includes features for image-to-video generation and frame-specific controls, allowing users to guide motion using reference images or specify start and end frames for precise narrative continuity.