Google: Gemini 3 Flash
Try Gemini 3 Flash for free in your browser, and add it to your app for free with Puter.js AI API.
Try it free Add to your app// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms", {
model: "google/gemini-3-flash-preview"
}).then(response => {
document.body.innerHTML = response.message.content;
});
<html>
<body>
<script src="https://js.puter.com/v2/"></script>
<script>
puter.ai.chat("Explain quantum computing in simple terms", {
model: "google/gemini-3-flash-preview"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
Model Card
Gemini 3 Flash is Google's frontier intelligence model built for speed, combining Pro-grade reasoning with Flash-level latency at a fraction of the cost. It excels at agentic coding, complex analysis, and multimodal understanding with configurable thinking levels.
Context Window 1M
tokens
Max Output 66K
tokens
Input Cost $0.38
per million tokens
Output Cost $2.25
per million tokens
Input text, image, video, audio, pdf
modalities
Tool Use Yes
Knowledge Cutoff Jan 2025
Release Date Dec 17, 2025
Try Gemini 3 Flash for free
Try Gemini 3 Flash instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
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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.
Frequently Asked Questions
You can access Gemini 3 Flash 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. You can also use it with Python or cURL via Puter's OpenAI-compatible API.
Gemini 3 Flash is free to try with a Puter account. Every account includes a free AI allowance, and you can chat with it in the playground on this page. You can upgrade your account anytime for a larger allowance.
Gemini 3 Flash 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 1M tokens | |
|---|---|
| Input | $0.38 |
| Output | $2.25 |
Gemini 3 Flash was created by Google and released on Dec 17, 2025.
Gemini 3 Flash supports a context window of 1M tokens. For reference, that is roughly equivalent to 2,000 pages of text.
Gemini 3 Flash can generate up to 66K tokens in a single response.
Gemini 3 Flash has a knowledge cutoff date of Jan 2025. This means the model was trained on data available up to that date.
Gemini 3 Flash accepts the following input types: text, image, video, audio, pdf. It produces: text.
Yes, Gemini 3 Flash supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.
Yes — the Gemini 3 Flash 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 Flash to your app for free
Developers can integrate Gemini 3 Flash for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.