Using Gemini 3.1 Flash Lite Image (Nano Banana 2 Lite) on Google AI Studio

Implementation guide · Gemini 3.1 · Google DeepMind

Serverless

Google AI Studio exposes Gemini 3.1 Flash Lite Image (Nano Banana 2 Lite) through model ID gemini-3.1-flash-lite-image. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-10-19. Next refresh: weekly.

Quick Start

1
Create an account at Google AI Studio and generate an API key.
2
Use the Google AI Studio SDK or REST API to call gemini-3.1-flash-lite-image — see the documentation for request format.
3
You'll be billed $0.25/1M input, $1.50/1M output tokens. See full pricing.

API Portal Documentation Pricing Model Card

Code Examples

Install

pip install google-genai

API key

GOOGLE_API_KEY

Model ID

gemini-3.1-flash-lite-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-3.1-flash-lite-image",
    contents="Hello"
)
print(response.text)

Pricing on Google AI Studio

Type	Price (per 1M)
Input tokens	$0.25
Output tokens	$1.50

Capabilities

VisionMultimodalReasoningBatch API

About Gemini 3.1 Flash Lite Image (Nano Banana 2 Lite)

Gemini 3.1 Flash Lite Image (Nano Banana 2 Lite; API id gemini-3.1-flash-lite-image) is Google's efficiency-focused image generation/editing model. Inputs text/image/video/PDF; outputs image+text. FP limits 65536/4096. Paid: $0.25/1M input, $1.50/1M text output, $30/1M image output (~$0.0336/1K image).

Full model details →

Model Specs

Context64K