Veo is Google DeepMind's video generation model that creates cinematic clips with native audio from text prompts, available via Gemini and the API.
Veo is Google DeepMind’s AI video generation model, designed to produce cinematic-quality video clips from text prompts. The current version, Veo 3.1, is the first major AI video model to generate audio natively — meaning dialogue, sound effects, and ambient noise are produced alongside the video in a single generation, rather than added separately in post-production. Veo is available to consumers through Gemini and Google Flow, and to developers through the Gemini API, making it one of the most accessible high-quality video generation systems available in 2026.
Veo is a diffusion-based model — a class of AI system that learns to generate content by training on the relationship between text descriptions and video data, then iteratively refining a noisy starting point into a coherent output. Here is how the main components work together.
Yes. Veo 3 and later versions generate audio natively alongside the video. This includes dialogue spoken by characters in the scene, sound effects that match the visuals, and ambient background noise. You can describe the audio you want in your text prompt alongside the visual description. Earlier versions like Veo 2 were video-only.
Consumer access is through Google AI Pro ($19.99 per month) for Veo 3.1 Fast, or Google AI Ultra ($249.99 per month) for full Veo 3.1 access. Developer access via the Gemini API is priced per second of video: Veo 3.1 Lite is approximately $0.05 per video, Veo 3.1 Fast is $0.15, and standard Veo 3.1 is $0.40. New Google Cloud accounts receive $300 in free credits.
All three produce high-quality AI video. Veo 3.1's main differentiator is native audio generation — Runway and Sora do not generate synchronised audio in the same way. Runway has a stronger set of video editing tools and a more established creative workflow. Sora is available via ChatGPT Pro and tends to produce longer clips. Veo is the strongest choice when audio-visual synchronisation matters.
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