Using Nano Banana 2 (Gemini 3.1 Flash Image) 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— see the documentation for request format. - 3
Code Examples
Install
pip install google-genaiAPI key
GOOGLE_API_KEYModel ID
gemini-3.1-flash-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-3.1-flash-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 | $0.50 |
| Output tokens | $60.00 |
Capabilities
VisionMultimodalReasoningBatch API
About Nano Banana 2 (Gemini 3.1 Flash Image)
Nano Banana 2 is the GA Gemini 3.1 Flash Image model for image generation and editing through the Gemini API. It accepts text, image, PDF, and video inputs, adds video-to-image generation for thumbnails, posters, and infographics, returns text and images, supports search grounding and thinking, and replaces the gemini-3.1-flash-image-preview model retiring on 2026-06-25.
Model Specs
Released2026-05-28
Context131k
ArchitectureDecoder Only
Knowledge cutoff2025-01