Google

Veo 3.1

Veo 3.1 is Google's generally available video generation model, released under the identifier veo-3.1-generate-001 and accessible through Google's Vertex AI platform. It is the production-ready successor to the veo-3.1-generate-preview endpoint, making it the recommended migration target for developers who built on the preview version. The model generates video content from text prompts and supports image-based inputs, enabling a range of media creation workflows. It is part of Google's broader Veo model family, which includes multiple generation variants. Veo 3.1 is designed for developers and businesses that need a reliable, supported API for AI video generation at scale. Its stable endpoint status means it carries production-grade support commitments, distinguishing it from preview or experimental releases. The model accepts text prompts, individual image URLs, and image arrays as inputs, and supports a seed parameter for reproducible outputs. It is well suited for applications such as marketing content pipelines, automated media production, and any workflow requiring consistent, repeatable video generation.

July 2025 5000 context N/A output
Text-to-Video Generation Image-to-Video Multi-Image Input Reproducible Outputs Configurable Generation Options Stable Production API

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.

5000 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.

July 2025

Knowledge Cut-off Date

When the model's knowledge was last updated.

July 2025

API Providers

The providers that offer this model. This is not an exhaustive list.

Vertex AI, Google

Modalities

Types of data this model can process.

Video Text Image

What is Veo 3.1

A fuller summary of positioning, capabilities, and source-specific details for Veo 3.1.

Veo 3.1 is Google's generally available video generation model, released under the identifier veo-3.1-generate-001 and accessible through Google's Vertex AI platform. It is the production-ready successor to the veo-3.1-generate-preview endpoint, making it the recommended migration target for developers who built on the preview version. The model generates video content from text prompts and supports image-based inputs, enabling a range of media creation workflows. It is part of Google's broader Veo model family, which includes multiple generation variants.

Veo 3.1 is designed for developers and businesses that need a reliable, supported API for AI video generation at scale. Its stable endpoint status means it carries production-grade support commitments, distinguishing it from preview or experimental releases. The model accepts text prompts, individual image URLs, and image arrays as inputs, and supports a seed parameter for reproducible outputs. It is well suited for applications such as marketing content pipelines, automated media production, and any workflow requiring consistent, repeatable video generation.

Capabilities

What Veo 3.1 supports

VID

Text-to-Video Generation

Generates video content from natural language text prompts, supporting up to a 5000-token context window for detailed scene descriptions.

IMG

Image-to-Video

Accepts one or more image URLs as input to animate or extend still images into video sequences.

IMG

Multi-Image Input

Supports an array of image URLs as input, allowing multiple reference images to inform a single video generation request.

AI

Reproducible Outputs

Accepts a seed parameter so developers can reproduce the same video output from identical inputs, useful for testing and iterative workflows.

AI

Configurable Generation Options

Exposes multiple toggle groups and select controls, enabling configuration of generation parameters such as aspect ratio, duration, and resolution.

API

Stable Production API

Available as a generally available endpoint (veo-3.1-generate-001) on Vertex AI, providing production-grade support and stability for deployment at scale.

Pricing for Veo 3.1

Primary API pricing shown in the same “quick compare” spirit as the reference page.

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.

Vertex AI Google

Configuration & Parameters

The configurable options currently documented for this model.

Duration

Select
Default: 8
8s

Include Audio

Toggle Group
Default: false

Aspect Ratio

Toggle Group
Default: 16:9

Resolution

Toggle Group
Default: 1080p

Auto-Enhance Prompt

Toggle Group
Default: true

Input Image

Image URL

Optional URL of an input image to animate.

Last Frame Image

Image URL

Optional URL of the last frame of the video.

Reference Images

Image URL Array

Provide up to 10 references images of the scene, subject, objects, or anything else in the image.

Negative Prompt

Text

Description of what to exclude from an image.

Seed

Seed

A specific value that is used to guide the 'randomness' of the generation.

Range: 0 - 2147483647

Supported Request Parameters

Parameters currently listed by OpenRouter or the local catalog for this model.

Duration Include Audio Aspect Ratio Resolution Auto-Enhance Prompt Input Image Last Frame Image Reference Images Negative Prompt Seed

Resources & Documentation

Official model cards, release notes, docs, and other references synced from the source page.

Related Daily Briefs

Recent daily stories tied to Veo 3.1 through direct model mentions or provider-level coverage.

Community discussion

What people think about Veo 3.1

Veo 3.1 discussions are most active in r/VEO3, r/singularity, r/GenAiApps. Top Reddit threads cluster around benchmark and model-comparison threads, coding workflow discussions.

The strongest match in this snapshot has 3522 upvotes and 405 comments.

r/VEO3 1 upvotes 22 comments April 10, 2026
Bye Veo 3.1

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

Open Reddit thread

Video made with Veo 3.1 ,

Genuine question for Veo 3 User,

I'm adding Veo 3.1 video generation to my app, Wazir AI, and I’m trying to understand if there’s still real demand – or if most of you have already moved on to other tools.

If something gave you cheaper access to Veo 3.1, plus free generations to test it properly, would you actually use it? What does Veo do that current tools still don’t get right?

Also, quick one – what platform are you using right now for Veo 3 video gen, and roughly how much are you paying? Just trying to get a real sense of what people are actually spending and where.

I’m asking because I want to offer Veo 3.1 at a lower cost than what’s out there, but only if people genuinely still want it. My plan is to give the first 300 users 3 free generations of Veo – partly to see if it clicks, and partly to collect honest feedback.

So the question is simple: is there still a spot in your workflow for Veo, if the price and access were better?

Note – I’m not here to sneak in self-promo. Just genuinely trying to understand what this community actually needs. If the demand is real, I’d love to build something helpful and affordable. If not, no hard feelings.

Would appreciate your real thoughts – it’d help me shape this properly.

Open Reddit thread
r/VEO3 22 upvotes 31 comments May 14, 2026
Veo 3.1 sucks

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.

Open Reddit thread
r/VEO3 117 upvotes 82 comments October 27, 2025
Everyone's Using VEO 3.1 Wrong (Here's What's Actually Possible)

Edit: Just realised I can only upload 1 video per day, but whatever, I'm leaving the body as I wrote it. I'll post other videos later; I have better stuff than this.

Right, so this is the kind of stuff you can actually pull off once you've got proper ideation and a solid script sorted.

Loads of people reckon this is impossible to do on VEO 3.1, but honestly, they haven't got a clue what they're on about. If you know how to prompt properly and you've got a decent script, you can do some pretty mad stuff.

Some of these might look a bit dodgy because I made them whilst testing out automations and trying to refine the process, but basically I can now automate a huge chunk of it. It starts with creating the script, then adapting it to my own voice and style.

After that, you create the image prompts, use an API to generate the images, which become your starting frames, and then, based on those frames and the script, you create the JSON prompts.

This used to take me anywhere from three to five hours to create, but once I'd tweaked and refined it a bit, pretty much once I had my spreadsheet ready, I just copied and pasted the prompts into VEO 3.

It took me about 20 minutes from choosing the right clips to stitching them together in CapCut with auto captions.

Very basic editing since I'm extremely ignorant in that department.

I reckon this is the sort of thing that'll separate people who just churn out random slop from those actually creating quality content, the kind of stuff that could even help you land clients.

Still, I've seen even wilder stuff, so I need to up my game for my image and video prompting.

P.S. the video with the man with the glasses has some spanish text baked into the video; basically, I just adapted the script to English so I could show it to you, guys.

Open Reddit thread
View more discussions →
FAQ

Common questions about Veo 3.1

What is the context window for Veo 3.1?

Veo 3.1 supports a context window of 5000 tokens, which applies to the text prompt input for video generation requests.

What is the difference between veo-3.1-generate-001 and the preview version?

The veo-3.1-generate-001 endpoint is the stable, generally available release, while veo-3.1-generate-preview was an earlier experimental endpoint. Google designates veo-3.1-generate-001 as the recommended migration target for production use.

What input types does Veo 3.1 accept?

Veo 3.1 accepts text prompts, individual image URLs, and arrays of image URLs. It also supports a seed value for reproducible outputs and several configurable toggle and select parameters.

Where is Veo 3.1 hosted and how is it accessed?

Veo 3.1 is available through Google's Vertex AI platform. It is also accessible via unified AI SDKs and gateways, including Vercel's AI Gateway.

What is the training data cutoff for Veo 3.1?

According to the available metadata, Veo 3.1 has a training date of July 2025.

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