Using Gemma 4 31B IT on Google AI Studio

Implementation guide · Gemma 4 · Google DeepMind

ServerlessOpen Source

Google AI Studio exposes Gemma 4 31B IT through model ID gemma-4-31b-it. 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. 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-4-31b-it — see the documentation for request format.

Code Examples

Install
pip install google-genai
API key
GOOGLE_API_KEY
Model ID
gemma-4-31b-it

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-4-31b-it",
    contents="Hello"
)
print(response.text)

Pricing on Google AI Studio

Capabilities

VisionMultimodalJSON / Tool useStructured Outputs

About Gemma 4 31B IT

Instruction-tuned variant of the 31B model with enhanced instruction-following. Maintains #3 Arena leaderboard performance with multimodal capabilities.

Model Specs

Released2026-03-31
Parameters31B
Context256k
Knowledge cutoff2025-01