Using Gemini 3.1 Pro Preview Custom Tools on Google AI Studio
Implementation guide · Gemini 3.1 · Google DeepMind
Serverless
Google AI Studio exposes Gemini 3.1 Pro Preview Custom Tools through model ID gemini-3.1-pro-preview-customtools. 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
gemini-3.1-pro-preview-customtools— see the documentation for request format. - 3
Code Examples
Install
pip install google-genaiAPI key
GOOGLE_API_KEYModel ID
gemini-3.1-pro-preview-customtoolsUse 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="gemini-3.1-pro-preview-customtools",
contents="Hello"
)
print(response.text)Pricing on Google AI Studio
| Type | Price (per 1M) |
|---|---|
| Input tokens | $2.00 |
| Output tokens | $12.00 |
Capabilities
VisionMultimodalStructured Outputs
About Gemini 3.1 Pro Preview Custom Tools
Google: Gemini 3.1 Pro Preview Custom Tools available via OpenRouter. Pricing: $2/1M input, $12/1M output.
Model Specs
Released2026-01-01
Context1m
ArchitectureDecoder Only
Knowledge cutoff2025-01