Google: Gemini 3 Pro
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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
Code Example
Add AI to 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.chat("Explain quantum computing in simple terms").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").then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
More AI Models From Google
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.
ChatGemini 3.5 Flash-Lite
Gemini 3.5 Flash-Lite is Google's fastest and most cost-efficient model in the Gemini 3.5 series, built for high-throughput, low-latency workloads. It scores 54% on Terminal-Bench 2.1 and 72.2% on GDM-MRCR v2, up from 31% and 60.1% for Gemini 3.1 Flash-Lite. It also outperforms the larger Gemini 3 Flash on SWE-Bench Pro (54.2% vs. 49.6%) and OSWorld-Verified (74.0% vs. 65.1%), while generating output at roughly 350 tokens per second. It supports text, image, video, audio, and PDF input with a 1M token context window, configurable thinking levels, and function calling, including computer use as a built-in tool. It's suited for agentic search, document processing, and other high-volume tasks where throughput and cost matter more than maximum reasoning depth.
ChatGemini 3.6 Flash
Gemini 3.6 Flash is Google's workhorse Flash-tier model, released as the successor to Gemini 3.5 Flash. It's built for running AI agents in production, with improvements in coding precision, computer use, and multimodal understanding. In Google's own benchmarks, it scores 83.0% on OSWorld-Verified (up from 78.4% for 3.5 Flash), 49% on DeepSWE (up from 37%), 63.9% on MLE-Bench (up from 49.7%), and 58.7% on SWE-Bench Pro. It also produces 17% fewer output tokens than 3.5 Flash on comparable tasks. It accepts text, image, video, audio, and PDF input with a 1M token context window, supports function calling and a built-in computer-use tool, and has a March 2026 knowledge cutoff. At $0.75 per million input tokens and $3.75 per million output tokens, it's well under 3.5 Flash's $1.50 and $9.00 rates.
Frequently Asked Questions
You can access Gemini 3 Pro 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.
Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Gemini 3 Pro to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.
| Price per 1M tokens | |
|---|---|
| Input | $2 |
| Output | $12 |
Gemini 3 Pro was created by Google and released on Nov 18, 2025.
Gemini 3 Pro supports a context window of 1M tokens. For reference, that is roughly equivalent to 2,097 pages of text.
Gemini 3 Pro can generate up to 200K tokens in a single response.
Gemini 3 Pro has a knowledge cutoff date of Jan 2025. This means the model was trained on data available up to that date.
Gemini 3 Pro accepts the following input types: text, image, video, audio, pdf. It produces: text.
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.
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.
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