Veo 3.1 AI Video Generator

Veo 3.1 is Google's AI video generation model for text-to-video and image-to-video work. It creates short clips with native audio, supports up to three reference images, and adds first-frame, last-frame, and extension workflows so creators can guide both the visual direction and how a scene opens or resolves.

Veo 3.1 supports text prompts, image-to-video generation, and up to three reference images for style or subject guidance. It also supports first-frame and last-frame inputs for frame-specific generation, plus extension from a previously generated Veo clip when the goal is to continue an existing shot instead of starting over.

Veo 3.1 generates video with native audio, which means dialogue, ambience, and sound cues can arrive in the same output rather than being added afterward in a second tool. That matters most for creators who need to review pacing, spoken lines, and shot timing together instead of judging a silent draft.

Reference images let Veo 3.1 borrow visual direction from as many as three uploaded stills. In practice, creators use them to hold onto character styling, product appearance, or a particular aesthetic while the prompt controls action, camera language, and sound. Reference-image jobs require 8-second generations, which is part of the model's current rules.

Veo 3.1 supports 4, 6, and 8 second clips at 24 frames per second in 16:9 or 9:16 layouts. It can generate 720p, 1080p, or 4K output, but 1080p and 4K are limited to 8-second generations. Video extension is currently limited to 720p outputs.

Veo 3.1 supports extending videos that were previously generated with Veo, which is useful when a shot already works and simply needs one more beat. It also supports first-frame and last-frame control, so creators can constrain how a scene begins or ends instead of relying on prompt wording alone.

To use Veo 3.1 on Alici, prepare a clear shot brief, decide whether the scene should start from text or from an image, then gather any reference stills that the shot needs. Once the route is live in Alici, the workflow will center on uploading those assets, setting duration and aspect ratio, and iterating on the scene direction.

Veo 3.1 stands apart by combining native audio output with up to three reference images and first-frame or last-frame control in one model. Seedance 2 covers more asset types in one generation, Kling 3.0 leans harder into multimodal storyboard workflows, and Runway Gen-4.5 stays strongest around image-led identity control plus adjacent audio tools.

Alici pricing for Veo 3.1 has not been published yet. The route is being prepared as a product landing page first, so creators can review specs, workflows, and comparisons before access opens. When Alici enables the model, pricing will need to reflect Veo's higher-cost modes such as 1080p or 4K video with native audio.

Video editing experience is helpful, but it is not a requirement for getting useful first outputs from Veo 3.1. The more important skill is describing subject action, framing, and sound clearly. Editors will get more mileage from the tool, but marketers, educators, and creators can still work productively from references and prompts.

Commercial use decisions should follow Alici's launch terms plus the rights review attached to your specific project. The landing page assumes a watermark-free workflow for client projects and marketing output, but teams still need to check brand permissions, likeness rights, and any applicable Google or Alici policy updates before publishing the final asset.

Yes. Veo 3.1 is available on Alici through the video generation workflow. This landing page explains where it fits best, how its reference-image and audio controls work, and how it compares with nearby models before you start a generation.

Veo 3.1 is already accessible on Alici through the video generator route. If workflow settings, pricing, or supported modes change over time, the live generation page is the source of truth for the current setup.