Text-to-Video Generation
Generates video content from natural language text prompts, supporting up to a 5000-token context window for detailed scene descriptions.
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.
High-signal model metadata in a structured two-column overview table.
The entity that provides this model.
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 3.1.
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.
Generates video content from natural language text prompts, supporting up to a 5000-token context window for detailed scene descriptions.
Accepts one or more image URLs as input to animate or extend still images into video sequences.
Supports an array of image URLs as input, allowing multiple reference images to inform a single video generation request.
Accepts a seed parameter so developers can reproduce the same video output from identical inputs, useful for testing and iterative workflows.
Exposes multiple toggle groups and select controls, enabling configuration of generation parameters such as aspect ratio, duration, and resolution.
Available as a generally available endpoint (veo-3.1-generate-001) on Vertex AI, providing production-grade support and stability for deployment at scale.
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.
Recent daily stories tied to Veo 3.1 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 3.1 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.
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
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.
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.
I don't really know what I'm doing, but I'm pretty happy with how it turned out. From start to finish it took about 2 hours. Figuring out how to use Davinci Resolve was the hardest part.
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.
Veo 3.1 supports a context window of 5000 tokens, which applies to the text prompt input for video generation requests.
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.
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.
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.
According to the available metadata, Veo 3.1 has a training date of July 2025.
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