Google: Gemini 3.1 Flash Lite Image
google/gemini-3.1-flash-lite-image
Access Gemini 3.1 Flash Lite Image from Google using the Puter.js AI API.
Add to your app
Model Card
Gemini 3.1 Flash Lite Image is Google DeepMind's fastest and lowest-cost image generation and editing model in the Gemini 3.1 family, also known as Nano Banana 2 Lite. It generates a 1K-resolution image in about 4 seconds, roughly 2.7x faster than Gemini 3.1 Flash Image, at $0.0336 per image.
It keeps the character consistency, precise natural-language editing, and real-world knowledge of the Nano Banana family while trading some peak quality for speed. It supports text-to-image generation, image editing, and multi-image composition through the same API used by other Gemini image models, with a discrete set of 14 aspect ratios at 1K resolution.
It's built for high-volume, latency-sensitive use cases such as rapid prototyping, interactive applications, and batch image generation, where cost and turnaround time matter more than maximum fidelity.
Cost Per Image $0.0336
per generation
Configuration 1K:1x1
resolution
Release Date Jun 30, 2026
Add Gemini 3.1 Flash Lite Image to your app
Use Gemini 3.1 Flash Lite 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-3.1-flash-lite-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-3.1-flash-lite-image"
}).then(image => {
document.body.appendChild(image);
});
</script>
</body>
</html>
More AI Models From Google
Nano Banana 2.1
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.
ChatGemini 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.
ChatGemini 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.
Frequently Asked Questions
You can access Gemini 3.1 Flash Lite 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.
Gemini 3.1 Flash Lite 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.
| Price | |
|---|---|
| Per image | $0.0336 |
Gemini 3.1 Flash Lite Image was created by Google and released on Jun 30, 2026.
Yes — the Gemini 3.1 Flash Lite 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 3.1 Flash Lite Image to your app for free
Developers can integrate Gemini 3.1 Flash Lite 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.