Gemini 3 Pro API

Access Gemini 3 Pro from Google using Puter.js AI API.

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Model Card

Gemini 3 Pro is Google's most intelligent model, delivering state-of-the-art performance in reasoning, multimodal understanding, and agentic coding. It handles text, images, video, audio, and code with a 1M token context window and advanced tool-calling capabilities.

Context Window 1M

tokens

Max Output 200K

tokens

Input Cost $2

per million tokens

Output Cost $12

per million tokens

Input text, image, video, audio, pdf

modalities

Tool Use Yes

 

Knowledge Cutoff Jan 2025

 

Release Date Nov 18, 2025

 

API Usage Example

Add Gemini 3 Pro to your app with just a few lines of code.
No API keys, no backend, no configuration required.

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

puter.ai.chat("Explain quantum computing in simple terms", {
    model: "google/gemini-3-pro-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-pro-preview"
        }).then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>

View full documentation →

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Frequently Asked Questions

What is this Gemini 3 Pro API about?

The Gemini 3 Pro API gives you access to Google's chat model through Puter.js. With just a few lines of JavaScript, you can integrate Gemini 3 Pro into any web app or Node.js project — no API keys, no backend, and no configuration required.

Who created Gemini 3 Pro?

Gemini 3 Pro was created by Google and released on Nov 18, 2025.

What is the context window of Gemini 3 Pro?

Gemini 3 Pro supports a context window of 1M tokens. For reference, that is roughly equivalent to 2,097 pages of text.

What is the max output length of Gemini 3 Pro?

Gemini 3 Pro can generate up to 200K tokens in a single response.

What is the knowledge cutoff of Gemini 3 Pro?

Gemini 3 Pro has a knowledge cutoff date of Jan 2025. This means the model was trained on data available up to that date.

What types of input can Gemini 3 Pro process?

Gemini 3 Pro accepts the following input types: text, image, video, audio, pdf. It produces: text.

Does Gemini 3 Pro support tool use (function calling)?

Yes, Gemini 3 Pro supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.

How much does it cost?
The Gemini 3 Pro API is available through the User-Pays Model. As a developer, you can add the Gemini 3 Pro API to your app for free — your users pay for their own AI costs directly.
Price per 1M tokens
Input$2
Output$12
How do I access the Gemini 3 Pro API?

You can access the Gemini 3 Pro API with just a few lines of JavaScript — no API keys, no backend, and no configuration required. Include the Puter.js library in your project and start making calls right away. For more details, check out our documentation.

Does the Gemini 3 Pro API work with React / Vue / Vanilla JS / Node / etc.?

Yes — the Gemini 3 Pro 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 Pro to your app without worrying about API keys or setup.

Read the Docs View Tutorials