Google: Gemini 3.1 Flash Image

Access Gemini 3.1 Flash Image AI image generation using Puter.js API.

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Model Card

Gemini 3.1 Flash Image (also known as Nano Banana 2) is Google DeepMind's latest state-of-the-art image generation and editing model, combining Pro-level quality with the speed of the Flash architecture. It supports text and image input with up to 1M token context, generates images up to 4K resolution, and features advanced world knowledge, precise text rendering, subject consistency, and web-search grounding.

Cost Per Image $0.067

per generation

Configuration 1K:1x1

resolution

Release Date Feb 26, 2026

 

API Usage Example

Add Gemini 3.1 Flash Image image generation to your app with just a few lines of code.
No backend, no configuration required.

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

puter.ai.txt2img("A serene mountain landscape at sunset", {
    model: "google/gemini-3.1-flash-image-preview"
}).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-3.1-flash-image-preview"
        }).then(image => {
            document.body.appendChild(image);
        });
    </script>
</body>
</html>

View full documentation →

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Gemma 4 31B

Gemma 4 31B is a dense multimodal model from Google DeepMind, built on the same research foundation as Gemini 3. It is the most capable model in the Gemma 4 family, accepting text, image, and video input with a 256K-token context window. It delivers strong benchmark results: 89.2% on AIME 2026, 85.2% on MMLU Pro, 80.0% on LiveCodeBench v6, and 84.3% on GPQA Diamond. On the Arena AI text leaderboard, it ranks as the #3 open model globally, outperforming many models with far higher parameter counts. Gemma 4 31B features native function calling trained into the model, configurable chain-of-thought reasoning, and structured JSON output — making it especially well-suited for agentic workflows, coding tasks, and multi-turn tool use. It supports over 140 languages and serves as a strong foundation for fine-tuning.

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Veo 3.1 Lite

Veo 3.1 Lite is Google DeepMind's most cost-effective video generation model, built for high-volume applications where per-clip cost is a primary concern. It generates video at the same speed as Veo 3.1 Fast but at less than half the price — starting at $0.05 per second for 720p. The model supports text-to-video and image-to-video with 720p and 1080p output in landscape (16:9) or portrait (9:16), at configurable durations of 4, 6, or 8 seconds. It does not support 4K output, scene extension, or native audio generation — clips are silent by default. Veo 3.1 Lite is ideal for developers building batch video pipelines, social media automation, or interactive tools where cost per generation matters most and audio can be added in post-production.

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Frequently Asked Questions

How do I use Gemini 3.1 Flash Image?

You can access Gemini 3.1 Flash Image 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 Gemini 3.1 Flash Image free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Gemini 3.1 Flash Image to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.

What is the pricing for Gemini 3.1 Flash Image?
Pricing for Gemini 3.1 Flash Image is based on a per-image cost.
Price
Per image$0.067
Who created Gemini 3.1 Flash Image?

Gemini 3.1 Flash Image was created by Google and released on Feb 26, 2026.

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

Yes — the Gemini 3.1 Flash Image 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.

Get started with Puter.js

Add Gemini 3.1 Flash Image image generation to your app without worrying about API keys or setup.

Read the Docs View Tutorials