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  4. /veo3.1-pro
Google
veo3.1-pro
Documentation
Documentation
The veo 3.1 pro api provides industry-leading video generation and multimodal reasoning. Integrate Gemini 3.1 tech to process up to 1 hour of footage, utilizing the Files API for 20GB uploads and granular frame-by-frame analysis.

$ 2.5

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video

$ 2.5

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Your request will cost$0per run, for$100you can run this model approximately0times
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veo 3.1 pro api Core Technical Features

Built for developers, the veo 3.1 pro api offers granular control over video inputs, including custom frame rates and high-capacity storage for complex AI vision tasks.

Granular Frame Rate Control

Override the default 1 FPS sampling to capture high-motion details. The veo 3.1 pro api adapts to fast action or static lecture content seamlessly.

An intense, high-octane cinematic action scene: A lone hero sprints through a rain-soaked neon city street at night, chased by masked attackers. Camera tracks the hero from a low angle, droplets flying in slow motion as they leap over a crashed motorcycle. Explosions flare in the background, sending shockwaves of light across wet pavement. The rain turns into a shimmering curtain under neon signs, debris and sparks fill the air. In the final seconds, the hero spins mid-air, deflecting an enemy strike with a glowing katana, a burst of light erupts, freezing the scene with maximum impact. 8K ultra photorealistic, bold color grading, dynamic focus pulls, raw cinematic energy packed into 8 seconds.

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Granular Frame Rate Control

Override the default 1 FPS sampling to capture high-motion details. The veo 3.1 pro api adapts to fast action or static lecture content seamlessly.

Precise Timestamp Referencing

Query specific moments using MM:SS formatting. The veo 3.1 pro api identifies visual and audio cues at exact points in the timeline.

A cinematic close-up shot of a beautiful young woman applying eyebrow makeup in a softly lit room. Scene details: - The camera focuses on her face with shallow depth of field, soft bokeh in the background. - She slowly and gracefully draws her eyebrows using an eyebrow pencil, hand movements delicate and precise. - Warm, gentle light falls across her smooth skin, highlighting the contours of her face. - 4K ultra photorealistic detail: visible texture of the eyebrow hairs and the pencil tip, subtle movement of her eyelashes. - Slight smile forms naturally as she finishes one brow, creating a serene, intimate atmosphere. - Camera slowly dolly-in from forehead area to eyes, emphasizing her graceful motions. - Style: cinematic, beauty advertising film, poetic and calming.

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Precise Timestamp Referencing

Query specific moments using MM:SS formatting. The veo 3.1 pro api identifies visual and audio cues at exact points in the timeline.

Native YouTube URL Support

Streamline your workflow by passing public YouTube links directly. The veo 3.1 pro api processes external content without requiring local downloads.

A cinematic close-up shot of a beautiful Chinese hwamei bird perched on a moss-covered branch in a misty forest. Scene details: - The bird is elegantly turning its head, showing its delicate brown feathers with the signature white eye-stripe pattern. - Soft diffused morning light filters through leaves, creating a gentle bokeh in the background. - Slow motion effect, 4K ultra photorealistic detail: every feather strand visible, subtle movement in the bird’s chest as it breathes. - Camera slowly dolly-in toward the bird, shallow depth of field for movie-like softness. - Mood: tranquil, poetic, nature documentary meets art film. - Slight breeze moves nearby leaves, water droplets glisten on moss.

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Native YouTube URL Support

Streamline your workflow by passing public YouTube links directly. The veo 3.1 pro api processes external content without requiring local downloads.

High-Capacity File API Integration

Upload and manage video files up to 20GB. The veo 3.1 pro api handles large-scale assets, ensuring stability during long-form video reasoning.

Two person street interview in New York City. Sample Dialogue: Host: "Did you hear the news?" Person: "Yes! Veo 3.1 is now available on WaveSpeedAI. If you want to see it, go check their website."

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High-Capacity File API Integration

Upload and manage video files up to 20GB. The veo 3.1 pro api handles large-scale assets, ensuring stability during long-form video reasoning.

How to Get a veo3.1-pro API Key

Getting a veo3.1-pro API key takes four steps and a few minutes. Create a free GPTProto account, add credits, generate your key, and make your first call — at $2.5 it's a cheaper veo3.1-pro API key than going direct, and one key works across every model on the platform. Full veo3.1-pro Documentation is in the docs.

Sign up

Sign up

Create your free GPT Proto account to begin. You can set up an organization for your team at any time.

Top up

Top up

Your balance can be used across all models on the platform, including veo3.1-pro, giving you the flexibility to experiment and scale as needed.

Generate your API key

Generate your API key

In your dashboard, create an API key — you'll need it to authenticate when making requests to veo3.1-pro.

Make your first API call

Make your first API call

Use your API key with our sample code to send a request to veo3.1-pro via GPT Proto and see instant AI-powered results.

Get API Key

veo 3.1 pro api FAQ and Usage Guide

Find answers about implementing the veo 3.1 pro api, covering file limits, YouTube integration, and performance optimization for your AI video projects.

What is the max file size for veo 3.1 pro api uploads?

Using the File API, you can upload videos up to 20GB for paid tiers or 2GB for free tiers. For one-off, short inputs under 100MB, you can also use inline data. The veo 3.1 pro api is optimized for handling these large files to ensure your video understanding tasks are processed without interruption, making it ideal for long-form content analysis like lectures or films.

Does the veo 3.1 pro api support YouTube URLs?

Yes, the veo 3.1 pro api can process public YouTube videos directly via URL. Note that the free tier is limited to 8 hours of YouTube video processing per day. The veo 3.1 pro api makes it easy to summarize public content or create quizzes based on specific YouTube videos, though private or unlisted videos are currently not supported in the preview version.

How does veo 3.1 pro api handle video tokenization?

At default media resolution, the veo 3.1 pro api consumes approximately 300 tokens per second of video. This includes individual frames sampled at 1 FPS (258 tokens each) and audio at 32 tokens per second. If you switch to low resolution, the veo 3.1 pro api reduces this to about 100 tokens per second, which helps in managing costs for massive video datasets.

Can I refer to specific timestamps in my prompts?

Absolutely. When prompting the veo 3.1 pro api, you can use the MM:SS format to ask questions about specific moments. For example, you can ask the veo 3.1 pro api to describe what occurs at 02:15. This precision is perfect for segmenting videos or creating automated highlights based on the audio-visual streams processed by the model.

Is the veo 3.1 pro api compatible with various formats?

The veo 3.1 pro api supports a wide range of MIME types including video/mp4, video/mpeg, video/quicktime, AVI, and WebM. This broad compatibility ensures that most standard video exports can be fed directly into the veo 3.1 pro api without needing complex transcoding steps, streamlining the development cycle for multimodal applications.

How can I optimize veo 3.1 pro api for long videos?

For videos exceeding 10 minutes, we recommend using context caching with the veo 3.1 pro api. This allows you to process the video once and reuse the tokens for subsequent queries, significantly reducing latency and costs. It is especially useful for chat sessions or repeated analysis where the same video file is the primary context for multiple user prompts.

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