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Google AI Studio

Veo 3 on Google AI Studio

Veo · Google DeepMind

Serverless

Last refreshed 2026-05-11. Next refresh: weekly.

Why use Veo 3 on Google AI Studio?

Google AI Studio offers Veo 3 with competitive pricing. Google AI Studio is a model prototyping environment and API access point for Gemini models, offering an inference playground for developers to test and build AI applications.

Compare Veo 3 across 3 providers to find the best fit for your use case
Input / 1M
-
Output / 1M
-
Cache
Not sourced
Batch
Not sourced

Setup recipe

Python + curl
Install
pip install google-genai
Auth
export GOOGLE_API_KEY=...
Call
import os
from google import genai
client = genai.Client(api_key=os.environ["GOOGLE_API_KEY"])
response = client.models.generate_content(
Model ID
veo-3.0-generate-001

Request example

import os
from google import genai

client = genai.Client(api_key=os.environ["GOOGLE_API_KEY"])
response = client.models.generate_content(
    model="veo-3.0-generate-001",
    contents="Hello"
)
print(response.text)

Gotchas

  • Use the model name directly, e.g. "gemini-2.0-flash", "gemini-1.5-pro", or "gemini-2.5-pro-preview-05-06".
  • The examples expect GOOGLE_API_KEY; rename it only if your application config maps the new variable.

Compare Veo 3 Across Providers

ProviderInput (per 1M)Output (per 1M)
Google AI Studio
GCP Vertex AI
Prodia

Capabilities

VisionMultimodal

About Veo 3

Google Veo 3.0 video generation model for diverse video content creation.

FAQ

Who created Veo 3?

Veo 3 was created by Google DeepMind as part of the Veo model family.

Is Veo 3 open source?

Veo 3 is not open source; the seed data lists it as proprietary.

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