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
- 2Use 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-genaiAPI key
GOOGLE_API_KEYModel ID
gemma-4-31b-itUse 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