Using Gemma 3 on Google AI Studio

Implementation guide · Gemma 3 · Google DeepMind

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Google AI Studio exposes Gemma 3 through model ID gemma-3. 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 gemma-3 — see the documentation for request format.
3
You'll be billed Free/1M input, Free/1M output tokens. See full pricing.

API Portal Documentation Pricing

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)

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.

Full model details →

Model Specs

Released2025-03-12

ArchitectureDecoder Only

Knowledge cutoff2025-01