Using Nano Banana 2 (Gemini 3.1 Flash Image Preview) on Google AI Studio
Implementation guide · Gemini 3.1 · Google DeepMind
Serverless
Quick Start
- 1
- 2Use the Google AI Studio SDK or REST API to call
gemini-3.1-flash-image-preview— see the documentation for request format. - 3
Code Examples
Install
pip install google-genaiAPI key
GOOGLE_API_KEYModel ID
gemini-3.1-flash-image-previewUse 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-flash-image-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.
Pricing on Google AI Studio
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.50 |
| Output tokens | $60.00 |
Capabilities
No model capability flags are currently sourced.
About Nano Banana 2 (Gemini 3.1 Flash Image Preview)
Preview release of Nano Banana 2 for Gemini 3.1 Flash Image. Google released the GA gemini-3.1-flash-image model on 2026-05-28 and will retire this preview API ID on 2026-06-25.
Model Specs
Released2026-03-03
Context66k
ArchitectureDecoder Only
Knowledge cutoff2025-01