Text-to-Video Generation
Generates video content from text descriptions using prompts of up to 480 tokens. Output is AI-generated video based on the provided text input.
Veo 3 Fast is a video generation model developed by Google, available through Google AI Studio under the identifier veo-3.0-fast-generate-001. It is the speed-optimized variant of the Veo 3 model family, designed to produce AI-generated video from text prompts with faster turnaround times than the standard Veo 3 model. It accepts text inputs of up to 480 tokens and outputs video content based on those descriptions. This model is well-suited for workflows where generation speed is a priority, such as rapid prototyping of video concepts, content pipeline automation, and exploratory creative work. Developers and content creators who need to iterate quickly or generate video at scale will find the fast variant a practical choice. It supports image URL inputs alongside text, allowing for additional visual context to guide generation.
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.
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A fuller summary of positioning, capabilities, and source-specific details for Veo 3 Fast.
Veo 3 Fast is a video generation model developed by Google, available through Google AI Studio under the identifier veo-3.0-fast-generate-001. It is the speed-optimized variant of the Veo 3 model family, designed to produce AI-generated video from text prompts with faster turnaround times than the standard Veo 3 model. It accepts text inputs of up to 480 tokens and outputs video content based on those descriptions.
This model is well-suited for workflows where generation speed is a priority, such as rapid prototyping of video concepts, content pipeline automation, and exploratory creative work. Developers and content creators who need to iterate quickly or generate video at scale will find the fast variant a practical choice. It supports image URL inputs alongside text, allowing for additional visual context to guide generation.
Generates video content from text descriptions using prompts of up to 480 tokens. Output is AI-generated video based on the provided text input.
Accepts single image URLs or arrays of image URLs as input to provide visual reference for the generated video. Supports both individual and multi-image inputs.
Accepts a seed value as input, allowing users to reproduce or iterate on specific generation results consistently.
Supports multiple select-type inputs for configuring generation parameters such as aspect ratio, duration, and other output settings.
Designed specifically for faster video generation compared to the standard Veo 3 model, making it suitable for high-throughput or iterative workflows.
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 10 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.
Veo 3 Fast discussions are most active in r/VEO3, r/IndiaTech, r/AI_Deal_Cave. The strongest match in this snapshot has 1950 upvotes and 432 comments.
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My Ultra says 0 credits for VEO3 Fast. I tested with a lot of prompts, and my credits didn't move. Anyone else?
**Google Veo 3 (25,000 Credits) AI ULTRA is back**
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# What's included:
* ✔ 25,000 Monthly AI Credits
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* ✔ Flow with VEO 3 – Cinematic video creation
* ✔ Whisk – Ultra-level generation limits
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* ✔ Unlimited Generations with VEO 3 Fast model
* ✔ All Gemini Premium Benefits included
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I provide a full replacement guarantee on our $17 option to ensure you can use your account without any worries.
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If you’re interested, feel free to DM me or contact me on Telegram: @ hotice\_312
**What's included:**
**✔ 45000** Monthly AI Credits
**✔ Gemini App** with 2.5 Pro Deep Think + VEO 3
**✔ Flow** with VEO 3 – Cinematic video creation
**✔ Whisk** – Ultra-level generation limits
**✔ 30 Days** warranty (Use without worrying)
**✔ No Veo watermarks**
**✔ Gemini in** Docs, Gmail, YouTube & More
**✔ Unlimited Generations** with VEO 3 Fast model
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**Important Edit:**
New accounts now come with 25000 credits, and the price has increased to $39 due to higher setup costs.
Veo 3 Fast generations is now UNLIMITED (if you pay for Google AI Ultra)?
I just want to make sure this is true, before I blow a ton of $$$.
The FLOW website says ...
[https://labs.google/flow/about#pricing](https://labs.google/flow/about#pricing)
# Google AI Ultra
$249.99 ($124.99/mo for 3 months)
Everything in Google AI Pro
\+
Highest monthly generation limits
Top-up credits available
Veo 3 Fast generations for 0 credits
https://preview.redd.it/mljydddkdonf1.jpg?width=854&format=pjpg&auto=webp&s=ea299801c4ea120008a41cc212f2909ce9326fa6
Veo 3 Fast supports a context window of 480 tokens, which applies to the text prompt input used to describe the video to be generated.
Veo 3 Fast is available through Google AI Studio under the model identifier veo-3.0-fast-generate-001.
The model accepts text prompts, single image URLs, arrays of image URLs, seed values, and multiple select-type configuration parameters.
According to the available metadata, the training date for Veo 3 Fast is listed as October 2025.
Veo 3 Fast is the speed-optimized variant of the Veo 3 family, prioritizing faster generation turnaround. It is intended for use cases where rapid iteration or high-throughput video generation is more important than maximizing generation quality.
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