Using Veo 2 on Google AI Studio

Implementation guide · Veo · Google DeepMind

Serverless

Google AI Studio exposes Veo 2 through model ID veo-2.0-generate-001. 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
Create an account at Google AI Studio and generate an API key.
2
Use the Google AI Studio SDK or REST API to call veo-2.0-generate-001 — see the documentation for request format.

API Portal Documentation Pricing

Code Examples

Install

pip install google-genai

API key

GOOGLE_API_KEY

Model ID

veo-2.0-generate-001

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-2.0-generate-001",
    contents="Hello"
)
print(response.text)

Pricing on Google AI Studio

Capabilities

VisionMultimodal

About Veo 2

Veo 2 is Google DeepMind's Veo model focused on video understanding and generation. It was released 2024-06-01.

Full model details →

Model Specs

Released2024-06-01