Text-to-Video Generation
Generates video content from natural language text prompts, accepting up to 5,000 tokens of input context to guide the synthesis.
Veo 3 (model ID: veo-3.0-generate-001) is Google's generally available video generation model, accessible through the Vertex AI platform. It is the stable, production-ready successor to the earlier veo-3.0-generate-preview endpoint, which Google has officially deprecated. The model accepts text prompts, image inputs, and configuration parameters to synthesize video content, and it supports a context window of up to 5,000 tokens. Veo 3 is part of Google's broader Veo 3.0 model family, which also includes a fast-generation variant. Google designated this release as the recommended migration target for teams that had been using the preview endpoint, signaling its readiness for large-scale, enterprise workloads. It is best suited for developers and organizations building production applications that require reliable, API-driven video generation through Google Cloud infrastructure.
High-signal model metadata in a structured two-column overview table.
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The number of tokens supported by the input context window.
The number of tokens that can be generated by the model in a single request.
Whether the model's code is available for public use.
When the model was first released.
When the model's knowledge was last updated.
The providers that offer this model. This is not an exhaustive list.
Types of data this model can process.
A fuller summary of positioning, capabilities, and source-specific details for Veo 3.
Veo 3 (model ID: veo-3.0-generate-001) is Google's generally available video generation model, accessible through the Vertex AI platform. It is the stable, production-ready successor to the earlier veo-3.0-generate-preview endpoint, which Google has officially deprecated. The model accepts text prompts, image inputs, and configuration parameters to synthesize video content, and it supports a context window of up to 5,000 tokens.
Veo 3 is part of Google's broader Veo 3.0 model family, which also includes a fast-generation variant. Google designated this release as the recommended migration target for teams that had been using the preview endpoint, signaling its readiness for large-scale, enterprise workloads. It is best suited for developers and organizations building production applications that require reliable, API-driven video generation through Google Cloud infrastructure.
Generates video content from natural language text prompts, accepting up to 5,000 tokens of input context to guide the synthesis.
Accepts one or more image URLs as input — including single images and image arrays — to use as visual references or starting frames for generated video.
Supports a seed parameter that allows reproducible video outputs by fixing the random state used during generation.
Exposes multiple toggle group and select inputs for controlling generation parameters such as aspect ratio, duration, and output style.
Deployed as a stable GA endpoint on Google's Vertex AI platform, making it available for enterprise integration via Google Cloud APIs.
Primary API pricing shown in the same “quick compare” spirit as the reference page.
Additional usage-cost dimensions synced into the project for this model.
Places where this model is available, based on the synced detail-page metadata.
The configurable options currently documented for this model.
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.
Parameters currently listed by OpenRouter or the local catalog for this model.
Official model cards, release notes, docs, and other references synced from the source page.
Recent daily stories tied to Veo 3 through direct model mentions or provider-level coverage.
Hugging Face and Google are pushing more practical AI product shifts.
Google and Qwen move deeper into real workflows.
Mistral and Google move deeper into real workflows.
OpenAI and Google are raising the stakes for enterprise adoption.
Veo 3 discussions are most active in r/aivideo, r/singularity, r/ChatGPT. Top Reddit threads cluster around benchmark and model-comparison threads.
The strongest match in this snapshot has 17389 upvotes and 2196 comments.
I don't know what to say they just keep messing up videos and they clnstantly fail my videos fuckypu veo kling is far better
image created by nano banana, and when i tried to make video of it just simple normal dialogue it says their policy prohibits uploading prominent figures. I mean what! it's created by nano banana. And other e.g I was creating Mahabharat Karna vs Arjun war, and it again and again created Karn as Ranveer singh and then rejected itselt with its policy.
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I created this video of my girlfriend with only 3 prompts and got shocked by result.
Veo 3 supports a context window of 5,000 tokens, which applies to the text prompt and other input parameters provided during a generation request.
Veo 3 (veo-3.0-generate-001) is the generally available, stable release that replaced the deprecated veo-3.0-generate-preview endpoint. Google designated it as the official migration target for users of the preview, indicating it is ready for production and large-scale workloads.
Veo 3 is available through Google's Vertex AI platform. Developers and enterprises can access it via the Vertex AI API on Google Cloud.
Veo 3 accepts text prompts, single image URLs, arrays of image URLs, seed values, and several toggle group and select configuration parameters for controlling generation behavior.
Based on the available metadata, Veo 3 has a training date of July 2025.
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