LLM Reference
Google AI Studio

Using Nano Banana Pro (Gemini 3 Pro Image) on Google AI Studio

Implementation guide · Gemini 3 · Google DeepMind

Serverless

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 gemini-3-pro-image — see the documentation for request format.
  3. 3
    You'll be billed $2.00/1M input, $120.00/1M output tokens.

Code Examples

Install
pip install google-genai
API key
GOOGLE_API_KEY
Model ID
gemini-3-pro-image

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-pro-image",
    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.

Pricing on Google AI Studio

TypePrice (per 1M)
Input tokens$2.00
Output tokens$120.00

Capabilities

VisionMultimodalReasoningTool UseStructured OutputsBatch API

About Nano Banana Pro (Gemini 3 Pro Image)

Nano Banana Pro is the GA Gemini 3 Pro Image model for high-fidelity image creation through the Gemini API. It is aimed at complex graphic design, product mockups, data visualizations, and accurate text rendering, and replaces gemini-3-pro-image-preview retiring on 2026-06-25.

Model Specs

Released2026-05-28
Context66k
ArchitectureDecoder Only
Knowledge cutoff2025-01