Using Nano Banana 2.1 (Gemini Nano Banana 2.1) on Google AI Studio
Implementation guide · Gemini 3.1 · Google DeepMind
Google AI Studio exposes Nano Banana 2.1 (Gemini Nano Banana 2.1) through model ID gemini-nano-banana-2.1. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-10-07. Next refresh: weekly.
Quick Start
- 1
- 2Use the Google AI Studio SDK or REST API to call
gemini-nano-banana-2.1— see the documentation for request format. - 3
Code Examples
pip install google-genaiGOOGLE_API_KEYgemini-nano-banana-2.1Use 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-nano-banana-2.1",
contents="Hello"
)
print(response.text)Pricing on Google AI Studio
| Type | Price (per 1M) |
|---|---|
| Input tokens | $1.50 |
| Output tokens | $7.50 |
| Image input | $1.00 |
| Video input | $1.00 |
Capabilities
About Nano Banana 2.1 (Gemini Nano Banana 2.1)
Nano Banana 2.1 (API id gemini-nano-banana-2.1, GA 6 October 2026) is Google's high-efficiency Gemini image generation and conversational editing model, succeeding Nano Banana 2 (gemini-3.1-flash-image). First-party Gemini API docs: text/image/video/PDF in, image+text out; 131,072 input / 32,768 output tokens; Thinking levels minimal/medium/high; Google Web and Image Search grounding; up to 14 reference images; 1K/2K/4K output (default 1K); Batch API supported; caching not supported. DeepMind model card (Published 6 October 2026) says it is based on Gemini 3.6 Flash.