Using Gemma 3 on Google AI Studio
Implementation guide · Gemma 3 · Google DeepMind
ServerlessOpen Source
Quick Start
- 1
- 2Use the Google AI Studio SDK or REST API to call
gemma-3— see the documentation for request format. - 3You'll be billed Free/1M input, Free/1M output tokens.
Code Examples
Install
pip install google-genaiAPI key
GOOGLE_API_KEYModel ID
gemma-3Use 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
| Type | Price (per 1M) |
|---|---|
| Input tokens | Free |
| Output tokens | Free |
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