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. - 3You'll be billed $0.50/1M input, $60.00/1M output tokens.
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, and PDF inputs, 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