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Google AI Studio

Using Gemma 3 on Google AI Studio

Implementation guide · Gemma 3 · Google DeepMind

ServerlessOpen Source

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 gemma-3 — see the documentation for request format.
  3. 3
    You'll be billed Free/1M input, Free/1M output tokens.

Code Examples

Install
pip install google-genai
API key
GOOGLE_API_KEY
Model ID
gemma-3

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="gemma-3",
    contents="Hello"
)
print(response.text)

About Google AI Studio

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.

Pricing on Google AI Studio

TypePrice (per 1M)
Input tokensFree
Output tokensFree

Capabilities

Structured Outputs

About Gemma 3

Lightweight, state-of-the-art open model built from the same technology that powers Gemini models. Available for free local deployment via Hugging Face and other hosting providers.

Model Specs

Released2025-03-12
ArchitectureDecoder Only
Knowledge cutoff2025-01

More Models on Google AI Studio