Using Veo 3.1 on Google AI Studio

Implementation guide · Veo · Google DeepMind

Serverless

Google AI Studio exposes Veo 3.1 through model ID veo-3.1-generate-preview. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-06-15. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at Google AI Studio and generate an API key.
  2. 2
    Use the Google AI Studio SDK or REST API to call veo-3.1-generate-preview — see the documentation for request format.

Code Examples

Install
pip install google-genai
API key
GOOGLE_API_KEY
Model ID
veo-3.1-generate-preview

Use the model name directly, e.g. "gemini-2.0-flash", "gemini-1.5-pro", or "gemini-2.5-pro-preview-05-06".

import os
from google import genai

client = genai.Client(api_key=os.environ["GOOGLE_API_KEY"])
response = client.models.generate_content(
    model="veo-3.1-generate-preview",
    contents="Hello"
)
print(response.text)

Pricing on Google AI Studio

Capabilities

VisionMultimodal

About Veo 3.1

Veo 3.1 is Google DeepMind's Veo model focused on video understanding and generation. It was released 2025-01-01.