Text-to-Video
Generates video clips from written text prompts, interpreting scene descriptions, camera directions, and stylistic cues to produce coherent video output.
Google
Veo 2
Veo 2 is Google's production-ready video generation model, released in April 2025 via the Gemini API under the model ID veo-2.0-generate-001. It accepts both text prompts and reference images as input, generating high-definition video output at resolutions up to 4K. The model includes physics-aware rendering that handles fluid dynamics, lighting, and object interactions, and it embeds SynthID watermarking in all generated videos to identify AI-created content. Veo 2 is available through both the Gemini API and Google's Vertex AI platform, making it accessible to developers via standard API calls without specialized infrastructure. It supports cinematic prompt controls such as aerial shots, panning, and time-lapses, and maintains consistent character appearance across scenes. The model is suited for developers, marketers, creative professionals, and educators who need to generate video content programmatically for use cases like product demos, ad campaigns, and educational visualizations.
Unknown
5,000 context
N/A output
Text-to-Video
Image-to-Video
Physics-Aware Rendering
Cinematic Camera Control
High-Resolution Output
SynthID Watermarking
Model Overview
High-signal model metadata in a structured two-column overview table.
Provider
The entity that provides this model.
Google
Input Context Window
The number of tokens supported by the input context window.
5,000
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
N/A
tokens
Open Source
Whether the model's code is available for public use.
No
Release Date
When the model was first released.
Unknown
Knowledge Cut-off Date
When the model's knowledge was last updated.
Unknown
API Providers
The providers that offer this model. This is not an exhaustive list.
Google, Vertex AI, Gemini API
Modalities
Types of data this model can process.
Video
Text
Image
What is Veo 2
A fuller summary of positioning, capabilities, and source-specific details for Veo 2.
Veo 2 is Google's production-ready video generation model, released in April 2025 via the Gemini API under the model ID veo-2.0-generate-001. It accepts both text prompts and reference images as input, generating high-definition video output at resolutions up to 4K. The model includes physics-aware rendering that handles fluid dynamics, lighting, and object interactions, and it embeds SynthID watermarking in all generated videos to identify AI-created content.
Veo 2 is available through both the Gemini API and Google's Vertex AI platform, making it accessible to developers via standard API calls without specialized infrastructure. It supports cinematic prompt controls such as aerial shots, panning, and time-lapses, and maintains consistent character appearance across scenes. The model is suited for developers, marketers, creative professionals, and educators who need to generate video content programmatically for use cases like product demos, ad campaigns, and educational visualizations.
Capabilities
What Veo 2 supports
Image-to-Video
Animates a reference image into a video sequence, using the provided image as the visual starting point for the generated clip.
Physics-Aware Rendering
Models realistic physical behavior including fluid dynamics, lighting interactions, and object motion to produce visually consistent scenes.
Cinematic Camera Control
Responds to prompts describing specific camera movements such as aerial shots, panning, tracking, and time-lapses.
High-Resolution Output
Supports video generation at resolutions up to 4K, suitable for professional and commercial production workflows.
SynthID Watermarking
Embeds an imperceptible SynthID watermark in every generated video to enable identification of AI-created content.
API & Vertex AI Access
Available through both the Gemini API and Google Vertex AI, allowing integration via standard REST or SDK calls.
Pricing for Veo 2
Primary API pricing shown in the same “quick compare” spirit as the reference page.
Input tokens
N/A
Per million tokens
Output tokens
N/A
Per million tokens
Price Comparison
Additional usage-cost dimensions synced into the project for this model.
maxTemperature
1
API Access & Providers
Places where this model is available, based on the synced detail-page metadata.
Google
Vertex AI
Gemini API
Configuration & Parameters
The configurable options currently documented for this model.
Duration
SelectAspect Ratio
SelectSupported Request Parameters
Parameters currently listed by OpenRouter or the local catalog for this model.
Resources & Documentation
Official model cards, release notes, docs, and other references synced from the source page.
Community discussion
What people think about Veo 2
Veo 2 discussions are most active in r/singularity, r/OpenAI, r/Bard. Top Reddit threads cluster around benchmark and model-comparison threads. The strongest match in this snapshot has 2155 upvotes and 215 comments.
Saw a bunch of videos on the deepmind YouTube channel pop up
FAQ
Common questions about Veo 2
What is the context window for Veo 2?
Veo 2 has a context window of 5,000 tokens, which applies to the text prompt input used to describe the video to be generated.
When was Veo 2 made generally available?
Veo 2 became generally available in April 2025, released via the Gemini API under the model ID veo-2.0-generate-001.
What input types does Veo 2 accept?
Veo 2 accepts text prompts and images as inputs, supporting both text-to-video and image-to-video generation workflows.
Where can I access Veo 2 via API?
Veo 2 is accessible through the Gemini API and Google's Vertex AI platform. Both provide standard API interfaces for integrating video generation into applications.
Does Veo 2 watermark its generated videos?
Yes. All videos generated by Veo 2 include an embedded SynthID watermark, which is Google's tool for identifying AI-generated content.
What is the maximum output resolution supported by Veo 2?
Veo 2 supports video output at resolutions up to 4K, making it suitable for professional and high-definition production use cases.
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