Using Gemini 3.1 Pro Preview on Google AI Studio

Implementation guide · Gemini 3.1 · Google DeepMind

Serverless

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 gemini-3.1-pro-preview — see the documentation for request format.
3
You'll be billed $2.00/1M input, $12.00/1M output tokens.

API Portal Documentation

Code Examples

Install

pip install google-genai

API key

GOOGLE_API_KEY

Model ID

gemini-3.1-pro-preview

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="gemini-3.1-pro-preview",
    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.

View all models on Google AI Studio →

Pricing on Google AI Studio

Type	Price (per 1M)
Input tokens	$2.00
Output tokens	$12.00

Capabilities

VisionMultimodalFunction CallingTool UseStructured OutputsCode Execution

About Gemini 3.1 Pro Preview

Google: Gemini 3.1 Pro Preview available via OpenRouter. Pricing: $2/1M input, $12/1M output.

Full model details →

Model Specs

Released2026-02-19

Context1M

ArchitectureDecoder Only

Knowledge cutoff2025-01