Veo 3.1 generates video from text or images with native audio, endpoint interpolation, references, and extension. Google’s current API positions it specifically for extension, last-frame control, and older Veo pipelines.

We tested Veo through Gemini and Google AI Studio. This review covers how it performs as an AI video generation model.

The output quality is in the top tier. Veo 3.1 produces photorealistic clips with natural motion, consistent lighting, and physics that hold up on most scenes. Native audio generation is a standout: Veo produces synchronized sound effects and ambient audio alongside the video, which most competitors don’t offer. For creating clips that feel complete without separate audio post-production, this is a meaningful advantage.

Camera movements feel directed rather than random. Veo handles tracking shots, depth transitions, and environmental pans with a cinematic quality that puts it alongside Runway and above most other generators on raw visual output.

Google Flow gives Veo 3.1 a dedicated filmmaking interface. Scenebuilder lets you join and extend shots, while reference images help keep characters and visual details consistent. Veo is also available through Gemini, Google AI Studio, and Vertex AI, although the different access points and credit allowances can be confusing.

The free tier through Gemini gives limited generations. Paid access comes through Google AI subscriptions ($19.99/mo AI Pro or higher). API pricing through Vertex AI is competitive but requires a Google Cloud account and billing setup.

Veo has been embedded into other platforms. Synthesia now includes Veo 3.1 for B-roll generation, and third-party platforms like Higgsfield offer Veo access under their own subscriptions. For many creators, accessing Veo through these platforms is easier than going throug0h Google directly.

Flow lets users join, extend, and refine Veo clips through Scenebuilder. Reference images also provide more control over character consistency between shots.