How much does Gemini 4 Argon cost?

Until November 30, 2026 it is half price: $2 per million input tokens and $10 per million output tokens, reasoning tokens included. From December 1, 2026 it is $4 and $20. There is no fixed monthly fee, and you pay only for the tokens you use.

How do I access Gemini 4 Argon from inside Iran?

Create an account on Hormouz and generate an API key. Hormouz provides a stable path to the model from inside Iran, with no foreign credit card or circumvention tooling required.

Is Gemini 4 Argon compatible with OpenAI code?

Yes. Hormouz exposes an OpenAI-compatible API. Point your base URL at Hormouz and swap in your Hormouz key. Your existing SDKs and code run without a rewrite.

What context window and capabilities does Gemini 4 Argon have?

It has a 1,048,576-token context window and answers of up to 65,536 tokens. It accepts text, image, PDF, audio and video input, and supports tool calling, structured JSON output and streaming. It always reasons before answering, at low, medium or high effort.

What is Gemini 4 Argon good for?

Google built it for complex software engineering, mathematical and scientific problem solving, long-running agents, and answering from long documents that mix text, tables, charts and images.

Google: Gemini 4 Argon: AI model

Gemini 4 Argon is Google's flagship reasoning model, with a 1M-token context window, at half price until November 30, 2026. Reachable from inside Iran through Hormouz.

Context window:: 1,048,576 tokens
Input:: $2/1M tokens
Output:: $10/1M tokens
Discount:: −50%
Type:: text, audio, image, video

Vision
Tools
Streaming
Long context

Thinking levels: Always thinks · high · medium · low

Gemini 4 Argon is Google's flagship reasoning model and the first model of the Gemini 4 generation, released on October 13, 2026. Google built it for complex software engineering, deep mathematical and scientific problem solving, and autonomous agents that run many steps. It is trained to keep track of context across long multi-step tasks and to turn long documents that mix text, tables, charts and images into one grounded answer. Google reports that it leads the Vals Index across finance, legal, coding and tax work.

It accepts text, image, PDF, audio and video input and returns text. The context window is 1,048,576 tokens, shared between input and output, and one response can be up to 65,536 tokens long. It supports tool calling, structured JSON output and streaming. It always reasons before answering, and you choose how hard it thinks with the reasoning effort setting: low, medium (the default) or high. Hormouz serves it behind an OpenAI-compatible API: point your base URL at Hormouz, drop in a Hormouz key, and existing OpenAI SDK code runs without changes.

Google launched it at half price. Until November 30, 2026 it costs $2 per million input tokens and $10 per million output tokens, including reasoning tokens; from December 1, 2026 the price is $4 and $20. Cached input costs $0.10 per million tokens during the offer and $0.20 after it. There is no fixed monthly fee, and you pay only for the tokens you use. Hormouz provides stable access from inside Iran, with no foreign credit card or circumvention tooling required.

Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across...

Quickstart

curl https://api.hormouz.net/v1/chat/completions \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "google/gemini-4-argon",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Specs

Vendor	Google
Type	Text, Audio, Image, Video
Context window	1,048,576 tokens
Pricing	Previous price: $4 / $20 per MDiscounted price: $2 / $10 per M−50%
API	Chat Completions
Capabilities	Streaming · Vision · Tools

Code example

cURL

curl https://api.hormouz.net/v1/chat/completions \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "google/gemini-4-argon",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Python

from openai import OpenAI
client = OpenAI(api_key="ng-YOUR_API_KEY", base_url="https://api.hormouz.net/v1")
response = client.chat.completions.create(
    model="google/gemini-4-argon",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)

JavaScript

import OpenAI from "openai";
const client = new OpenAI({ apiKey: "ng-YOUR_API_KEY", baseURL: "https://api.hormouz.net/v1" });
const response = await client.chat.completions.create({
  model: "google/gemini-4-argon",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

Buy the Google: Gemini 4 Argon API, paid in rial

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One Hormouz key reaches Google: Gemini 4 Argon and 600+ other models, and you pay only for what you use.
No VPN and no risk of a banned account; just change the base URL to api.hormouz.net/v1.

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FAQ

How much does Gemini 4 Argon cost?: Until November 30, 2026 it is half price: $2 per million input tokens and $10 per million output tokens, reasoning tokens included. From December 1, 2026 it is $4 and $20. There is no fixed monthly fee, and you pay only for the tokens you use.
How do I access Gemini 4 Argon from inside Iran?: Create an account on Hormouz and generate an API key. Hormouz provides a stable path to the model from inside Iran, with no foreign credit card or circumvention tooling required.
Is Gemini 4 Argon compatible with OpenAI code?: Yes. Hormouz exposes an OpenAI-compatible API. Point your base URL at Hormouz and swap in your Hormouz key. Your existing SDKs and code run without a rewrite.
What context window and capabilities does Gemini 4 Argon have?: It has a 1,048,576-token context window and answers of up to 65,536 tokens. It accepts text, image, PDF, audio and video input, and supports tool calling, structured JSON output and streaming. It always reasons before answering, at low, medium or high effort.
What is Gemini 4 Argon good for?: Google built it for complex software engineering, mathematical and scientific problem solving, long-running agents, and answering from long documents that mix text, tables, charts and images.

Updated 2026-10-13