Using Nano Banana Pro (Gemini 3 Pro Image) on Google AI Studio
Implementation guide · Gemini 3 · Google DeepMind
Serverless
Quick Start
- 1
- 2Use the Google AI Studio SDK or REST API to call
gemini-3-pro-image— see the documentation for request format. - 3You'll be billed $2.00/1M input, $120.00/1M output tokens.
Code Examples
Install
pip install google-genaiAPI key
GOOGLE_API_KEYModel ID
gemini-3-pro-imageUse 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
| Type | Price (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