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Google: Nano Banana 2.1

google/gemini-nano-banana-2.1

Access Nano Banana 2.1 from Google using the Puter.js AI API.

Add to your app

Model Card

Nano Banana 2.1 is Google's image generation and editing model, released in October 2026 as the successor to Nano Banana 2 (Gemini 3.1 Flash Image). It improves visual quality, text rendering, subject consistency, and mask-based editing, and accepts up to 14 reference images.

It outputs 1K, 2K, and 4K images, supports configurable thinking levels, and runs at Flash-tier speed. In preliminary Arena rankings it placed #5 for text-to-image (1328) and #6 for image editing (1428), ahead of Nano Banana 2 by 80 and 38 points.

Image output is priced at $0.0336 per 1K image, half of Nano Banana 2, though Google's Nano Banana Pro still produces more realistic images at a higher price. It suits developers who need lower-cost image generation and editing.

Cost Per Image $0.0336

per generation

Configuration 1K:1x1

resolution

Release Date Oct 6, 2026

 

Add Nano Banana 2.1 to your app

Use Nano Banana 2.1 in your app with the Puter.js AI API, no API keys or setup required.

// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';

puter.ai.txt2img("A serene mountain landscape at sunset", {
    model: "google/gemini-nano-banana-2.1"
}).then(image => {
    document.body.appendChild(image);
});
<html>
<body>
    <script src="https://js.puter.com/v2/"></script>
    <script>
        puter.ai.txt2img("A serene mountain landscape at sunset", {
            model: "google/gemini-nano-banana-2.1"
        }).then(image => {
            document.body.appendChild(image);
        });
    </script>
</body>
</html>

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Gemini 3.7 Flash is Google's workhorse Flash-tier model, released August 13, 2026, three weeks after Gemini 3.6 Flash. It's built for coding and agentic workflows, targeting software engineering, web development, and knowledge-dense domains like finance and law. Google reports gains over Gemini 3.6 Flash on several benchmarks. DeepSWE v1.1 rose from 49.0% to 65.3%, FrontierCode 1.1 from 34.4% to 43.6%, and AutomationBench from 17.0% to 30.4%. On FrontierCode 1.1 it scores above Claude Sonnet 5 (42.7%) and GPT-5.6 Terra (41.3%), though GPT-5.6 Terra edges it out on Terminal-bench 2.1 (87.4% vs 85.8%). It accepts text, image, video, audio, and PDF input with a 1M token context window and 64K token output limit. It supports function calling, search as a tool, and computer use, and has a March 2026 knowledge cutoff. It's priced at roughly half of Gemini 3.6 Flash's rate, fitting teams running coding agents or high-volume document processing.

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Frequently Asked Questions

How do I use Nano Banana 2.1?

You can access Nano Banana 2.1 by Google through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required.

Is the Nano Banana 2.1 API free for developers?

Nano Banana 2.1 is free to integrate using the Puter.js AI API. With the User-Pays Model, you can add AI to your app for $0, since users cover their own AI usage through their Puter account.

What is the pricing for Nano Banana 2.1?
Nano Banana 2.1 costs $0.0336 per image.
Price
Per image$0.0336
Who created Nano Banana 2.1?

Nano Banana 2.1 was created by Google and released on Oct 6, 2026.

Does it work with React / Vue / Vanilla JS / Node / etc.?

Yes — the Nano Banana 2.1 API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.

Add Nano Banana 2.1 to your app for free

Developers can integrate Nano Banana 2.1 for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.

Get started How pricing works