Developers can get the Gemini 4 Argon API running on 1min.AI in three moves: create an API key, set the model to gemini-4-argon, and send a first request. Every new account starts with free credits, so you can test Argon’s 1M-token reasoning on your own code and documents before building anything. This guide covers release details, specs, benchmarks, and a working code sample.

What Is Gemini 4 Argon? Release Date and Key Specs

Gemini 4 Argon is Google’s frontier reasoning model for long, multi-step work such as code migrations, security patching, and multi-document analysis. Its API model ID is gemini-4-argon.

Gemini 4 Argon Release Date and Google AI Availability

Google released Gemini 4 Argon on October 13, 2026. It is available through the Gemini API and Google AI Studio, and inside Google Antigravity for Google AI Ultra subscribers. 1min.AI adds another route: one API key that reaches gemini-4-argon next to the other leading models on the platform.

Gemini 4 Argon Specs at a Glance

Source: Google’s Gemini 4 Argon developer documentation. Thinking levels and long decode are Google API parameters. The request fields 1min.AI documents are listed in Step 3 below.

Gemini 4 Argon Benchmark Highlights

Early numbers from Google and an independent lab:

• DeepSWE v1.1 (long-horizon software engineering): 77.9%, reported by Google.
• LVBench (long video understanding): 91.7%, reported by Google.
• Hallucination rate: 15%, measured by Artificial Analysis.

Vendor benchmarks are directional, so run Argon on your own prompts to see how it handles your workload.

How to Use the Free Gemini 4 Argon API on 1min.AI

1min.AI serves gemini-4-argon through two endpoints, and one key works for both.

Step 1: Create Your API Key

Sign up at app.1min.ai, open the API page, and generate a key. Store it as an environment variable and keep it on your server, never in browser code. Free credits are added to your account automatically.

Step 2: Send Your First gemini-4-argon Request

curl -X POST "https://api.1min.ai/api/chat-with-ai" \
  -H "API-KEY: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "type": "UNIFY_CHAT_WITH_AI",
    "model": "gemini-4-argon",
    "promptObject": {
      "prompt": "Review this function and suggest a safer refactor."
    }
  }'

The same call in Python:

import os
import requests
# Send a request to gemini-4-argon
response = requests.post(
    "https://api.1min.ai/api/chat-with-ai",
    headers={
        "API-KEY": os.environ["ONEMIN_API_KEY"],
        "Content-Type": "application/json",
    },
    json={
        "type": "UNIFY_CHAT_WITH_AI",
        "model": "gemini-4-argon",
        "promptObject": {"prompt": "Explain how AI agents use tools in three sentences."},
    },
    timeout=300,
)
print(response.json()["aiRecord"]["aiRecordDetail"]["resultObject"][0])

The reply text sits in aiRecord.aiRecordDetail.resultObject.

Step 3: Add Web Search, Chat History, and File Attachments

• Web search: set settings.webSearchSettings.webSearch to true, and tune numOfSite and maxWord.
• Chat history: create a conversation with POST /api/conversations, then pass its uuid as promptObject.conversationId.
• Attachments: upload through the Asset API, then pass image keys in attachments.images or file IDs in attachments.files.
• Memory and brand voice: add withMemories or brandVoiceId for cross-chat memory and a consistent tone.
• Streaming: add ?isStreaming=true to receive Server-Sent Events.

Gemini 4 Argon API Documentation: Endpoints and Types

The 1min.AI API documentation lists every request field and model. Writing features set conversationId to the same value as type.

Gemini 4 Argon API Use Cases for Developers

One key reaches chat, writing, and code features, so you can chain them into complete workflows. As an AI API aggregator for developers, 1min.AI lets you change models by editing the model field.

Software Engineering and Code Migration

Send refactoring, test-writing, and debugging tasks to CODE_GENERATOR with gemini-4-argon. The 1M-token context window lets a long spec and several source files sit in one prompt, which suits migrations and multi-file fixes.

Legal and Finance Document Review

Upload contracts, filings, or reports through the Asset API, then pass the file IDs in a Chat with AI request. Ask Argon to extract clauses, flag risks, or summarize figures. Have a qualified professional review the output before acting on it.

Marketing and SEO Content Workflows

Chain KEYWORD_RESEARCH, CONTENT_GENERATOR_BLOG_ARTICLE, and CONTENT_TRANSLATOR under one key and one model. A keyword list becomes a drafted article, then a localized version, without moving data between tools.

Gemini 4 Argon API Pricing and Free Access

Gemini 4 Argon Pricing at a Glance

Google lists Gemini 4 Argon at $2 per million input tokens and $10 per million output tokens through November 30, 2026, rising to $4 and $20 from December 1. Cached input is $0.10 per million tokens, then $0.20. On 1min.AI, usage is counted in credits. The app’s model page estimates 8,004 credits per page of input and 40,020 per page of output, where one page is about 500 words. One credit balance covers every model and feature.

Can Developers Use Gemini 4 Argon for Free?

You can test it free. Every new 1min.AI account starts with free credits, and you can use them with gemini-4-argon in Multi AI Chat or through your API key. Create a key, send one request, and judge the output on your own work. For more ways to start, see our free AI API for developers guide.

Gemini 4 Argon in Google Antigravity

Google also offers Argon inside Google Antigravity, its agent-first development platform, for Google AI Ultra subscribers. Antigravity suits interactive agent sessions in a dedicated workspace. The 1min.AI API suits teams that want gemini-4-argon inside their own scripts, apps, and automations.

Gemini 4 Argon API FAQ

What is the Gemini 4 Argon API model ID?

The model ID is gemini-4-argon. Use it in the model field of POST /api/chat-with-ai or POST /api/features.

Is Gemini 4 Argon available on 1min.AI?

Yes. gemini-4-argon is listed in the Chat with AI API and the AI Feature API, including Code Generator and the Blog Article generator.

Is the Gemini 4 Argon API free to try on 1min.AI?

New accounts start with free credits that work with gemini-4-argon. Create an API key and send a request to try it.

How do I use Gemini 4 Argon?

Create a 1min.AI API key, send a POST request with type set to UNIFY_CHAT_WITH_AI and model set to gemini-4-argon, then read the reply from resultObject.

How big is the Gemini 4 Argon context window?

It is 1,048,576 tokens, shared between input and output, according to Google’s specifications.

Start Building With the Free Gemini 4 Argon API

Gemini 4 Argon shows its value on real tasks: long documents, large codebases, and multi-step content workflows. The fastest way to judge it is to run your own prompt. Create your 1min.AI API key, send the request from Step 2, and read what comes back. 1min.AI is rated Excellent on Trustpilot and listed on SourceForge, Slashdot Top Business Software, Capterra, Software Advice, and GetApp.