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Google: Gemini 2.5 Flash Image

google/gemini-2.5-flash-image

Access Gemini 2.5 Flash Image from Google using the Puter.js AI API.

Add to your app

Model Card

Gemini 2.5 Flash Image (codenamed Nano Banana) is Google's state-of-the-art multimodal model for fast, conversational image generation and editing with low latency. It maintains character consistency across prompts, enables precise local edits via natural language, and supports multi-image composition and fusion.

Cost Per Image $0.039

per generation

Configuration 1x1

resolution

Release Date Apr 17, 2025

 

Add Gemini 2.5 Flash Image to your app

Use Gemini 2.5 Flash Image 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-2.5-flash-image"
}).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-2.5-flash-image"
        }).then(image => {
            document.body.appendChild(image);
        });
    </script>
</body>
</html>

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Gemini 3.8 Flash

Gemini 3.8 Flash is Google's workhorse Flash-tier model, released September 2, 2026, three weeks after Gemini 3.7 Flash. It's built for long-horizon software engineering, agentic workflows, and multi-step reasoning in professional domains. Google reports it outperforms 3.7 Flash and other frontier models on DeepSWE v1.1 for autonomous engineering tasks, on Vals Finance Agent V2, and on Harvey's Legal Agent Benchmark. It scores 54.9% on HLE-Verified, and completes more than three times as many tasks as 3.7 Flash in Google's long-running, document-heavy workflow evaluations. It accepts text, image, video, audio, and PDF input with a 1M token context window and 64K token output limit, supports function calling and iterative tool use, and has a March 2026 knowledge cutoff. Priced at $0.75 per million input tokens and $3.75 per million output tokens through 2026, it targets teams running coding agents or document-heavy enterprise workflows.

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Gemini 3.7 Flash

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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Gemini Robotics ER 2 Preview

Gemini Robotics ER 2 Preview is Google's embodied reasoning model for robotics, available through the Gemini API and Google AI Studio. It takes video, images, audio and text, reasons about a physical scene, plans multi-step tasks, and hands actions off to a vision-language-action model, a robotics API, or developer-defined tools through function calling. Google says it can plan its next step while a robot is moving, works with the Gemini Live API, and can monitor a task in video, detect failures and retry individual steps. It also supports multi-robot coordination. In Google's reported tests it reached 91.3% accuracy at identifying when a key event occurred in a video (mean error 0.96 seconds) and 57.4% on progress classification. It is meant for developers building robot planning, success detection and scene understanding on top of the Gemini API.

Frequently Asked Questions

How do I use Gemini 2.5 Flash Image?

You can access Gemini 2.5 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 the Gemini 2.5 Flash Image API free for developers?

Gemini 2.5 Flash Image 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 Gemini 2.5 Flash Image?
Gemini 2.5 Flash Image costs $0.039 per image.
Price
Per image$0.039
Who created Gemini 2.5 Flash Image?

Gemini 2.5 Flash Image was created by Google and released on Apr 17, 2025.

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

Yes — the Gemini 2.5 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.

Add Gemini 2.5 Flash Image to your app for free

Developers can integrate Gemini 2.5 Flash Image 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