Google: Gemini 4 Argon

google/gemini-4-argon

Try Gemini 4 Argon 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-4-argon"
}).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-4-argon"
        }).then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>

Model Card

Gemini 4 Argon is Google's flagship Gemini 4 model, announced by Google DeepMind on September 30, 2026. It is aimed at long, multi-step software engineering, legal and finance work, and defensive cybersecurity.

Google reports 77.9% on DeepSWE v1.1 (Claude Opus 5.5 74.2%, GPT-6 Astra 74.1%) and 19.6% on Harvey's Legal Agent Benchmark. It trails Opus 5.5 on Terminal-bench 4.0 (57.4% vs 66.4%) and GPT-6 Astra on FrontierSWE v2 (55.0% vs 65.5%). Vals.ai places it first on the Vals Index at 68.9%.

Introductory pricing is $2 per million input tokens and $10 per million output tokens, rising to $4 and $20 later. It suits teams running coding agents or document-heavy professional workflows.

Context Window 1M

tokens

Max Output 66K

tokens

Input Cost $2

per million tokens

Output Cost $10

per million tokens

Input text, image, video, audio, pdf

modalities

Tool Use Yes

Release Date Oct 13, 2026

Try Gemini 4 Argon for free

Try Gemini 4 Argon instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.

Chat google/gemini-4-argon

Chat with Gemini 4 Argon

Benchmarks

How Gemini 4 Argon performs on standard evaluations.

Artificial Analysis

Intelligence Index

52.6

Better than 98% of tracked models

Benchmark	Score
Humanity's Last Exam Cross-domain reasoning	57.1%
SciCode Scientific programming	61.8%
LCR Long-context reasoning	79.7%

Scores sourced from Artificial Analysis.

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Frequently Asked Questions

How do I use Gemini 4 Argon?

You can access Gemini 4 Argon 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.

Can I try Gemini 4 Argon for free?

Gemini 4 Argon 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.

Is the Gemini 4 Argon API free for developers?

Gemini 4 Argon 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 4 Argon?

Gemini 4 Argon costs $2 per 1M input tokens and $10 per 1M output tokens.

	Price per 1M tokens
Input	$2
Output	$10

Who created Gemini 4 Argon?

Gemini 4 Argon was created by Google and released on Oct 13, 2026.

What is the context window of Gemini 4 Argon?

Gemini 4 Argon 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 4 Argon?

Gemini 4 Argon can generate up to 66K tokens in a single response.

What types of input can Gemini 4 Argon process?

Gemini 4 Argon accepts the following input types: text, image, video, audio, pdf. It produces: text.

Does Gemini 4 Argon support tool use (function calling)?

Yes, Gemini 4 Argon supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.

How does Gemini 4 Argon perform on benchmarks?

Gemini 4 Argon scores 52.6 on the Artificial Analysis Intelligence Index, outperforming 98% of tracked models.

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

Yes — the Gemini 4 Argon 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 4 Argon to your app for free

Developers can integrate Gemini 4 Argon 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