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

Implementation guide · Gemini 3.1 · Google DeepMind

Serverless

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

Last refreshed 2026-06-15. 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-image — see the documentation for request format.
3
You'll be billed $0.50/1M input, $60.00/1M 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-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-image",
    contents="Hello"
)
print(response.text)

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.

Full model details →

Model Specs

Released2026-05-28

Context131k

ArchitectureDecoder Only

Knowledge cutoff2025-01