Veo 3
Veo 3 is a video generation model from Google that produces videos with native audio from text or image inputs.
Text and image to video with native audio
Veo 3 is a video generation model developed by Google, released in May 2025 under the full model identifier veo-3.0-generate-001. It accepts text prompts and reference images as inputs and generates video output, with a context window of 5,000 tokens for prompt processing. A notable feature is its ability to generate audio natively alongside video, rather than requiring a separate audio pipeline.
The model supports several configurable parameters at generation time, including aspect ratio, video duration, and a negative prompt field for excluding unwanted content. Users can also supply a first-frame image or a last-frame image to guide the visual composition of the generated clip, and a seed value can be set for reproducible outputs. These controls make Veo 3 suited for tasks like short-form video creation, storyboarding, and content prototyping where visual and audio consistency matter.
What Veo 3 supports
Text-to-Video
Generates video clips from text prompts using a 5,000-token context window to interpret scene descriptions and style instructions.
Native Audio Generation
Produces audio alongside video in a single generation pass, eliminating the need for a separate audio synthesis step.
Image-to-Video
Accepts an input image as the first frame or last frame to anchor the visual content and motion of the generated clip.
Reference Image Support
Accepts an array of reference images to guide visual style or subject consistency across the generated video.
Aspect Ratio Control
Allows selection of output aspect ratio at generation time to match target formats such as landscape, portrait, or square.
Negative Prompting
Accepts a negative prompt field to specify visual elements or styles that should be excluded from the generated output.
Prompt Auto-Enhancement
Optional toggle that automatically expands or refines the user's prompt before generation to improve output quality.
Seed-Based Reproducibility
Accepts a numeric seed value so that identical prompts and settings produce consistent, repeatable video outputs.
Ready to build with Veo 3?
Get Started FreeCommon questions about Veo 3
What is the context window size for Veo 3?
Veo 3 has a context window of 5,000 tokens, which applies to the text prompt used to describe the video content.
Does Veo 3 generate audio as well as video?
Yes. Veo 3 includes a native audio generation capability that can produce audio alongside the video in a single generation pass. This can be toggled on or off via the 'Include Audio' parameter.
Can I use an existing image as the starting point for a video?
Yes. Veo 3 accepts an input image to use as the first frame of the generated video, and separately accepts a last-frame image to define the ending frame, giving you control over the visual arc of the clip.
What aspect ratios and durations does Veo 3 support?
Aspect ratio and duration are both configurable at generation time via toggle and select inputs. The specific supported values depend on the API configuration, but both parameters are exposed as user-selectable options.
What is the current status of Veo 3 on MindStudio?
Veo 3 is currently marked as deprecated in the MindStudio model catalog. It was added on May 22, 2025, shortly after its release date of May 2025.
Is pricing information available for Veo 3?
No published pricing is listed in the MindStudio model metadata for Veo 3. You should check Google's official pricing pages or the MindStudio platform for current cost information.
What people think about Veo 3
Community reception to Veo 3 has been notably positive, with highly upvoted posts on both r/ChatGPT and r/aivideo showcasing creative video outputs that demonstrate the model's visual quality and stylistic range. Users frequently highlight its ability to render imaginative and visually coherent scenes, as seen in viral threads featuring historical events reimagined as video games.
Common use cases discussed in community threads include creative and entertainment applications rather than enterprise workflows, with users experimenting with stylized and concept-driven prompts. Some threads draw attention to the novelty of the outputs, though detailed technical limitations are not prominently featured in the available community discussions.
Parameters & options
Optional URL of an input image to animate.
Optional URL of the last frame of the video.
Provide up to 3 references images of the scene, subject, objects, or anything else in the image.
Description of what to exclude from an image.
A specific value that is used to guide the 'randomness' of the generation.
Explore similar models
GoogleGemini Omni Flash
Gemini Omni Flash is a video generation model from Google that supports image and video inputs with multimodal editing capabilities.
GoogleVeo 3.1 Lite
Veo 3.1 Lite is a video generation model from Google designed for fast, low-cost video creation with audio support.
GoogleVeo 3.1 Fast
Veo 3.1 Fast is a video generation model from Google designed for rapid text-to-video and image-to-video synthesis.
ByteDanceSeedance 2.5 Turbo
Seedance 2.5 Turbo is a video generation model from ByteDance that supports text-to-video, image-to-video, and video editing modes.
Black Forest LabsFLUX 3 Video
FLUX 3 Video is a video generation model from Black Forest Labs that supports audio, keyframes, and video continuation.
X.aiGrok Imagine 1.5
Grok Imagine 1.5 is a video generation model from X.ai that accepts text, image, and video inputs to produce generated video output.
Start building with Veo 3
No API keys required. Create AI-powered workflows with Veo 3 in minutes — free.