Gemini 4 Argon: API price, context window and how to connect

Gemini 4 Argon by Google: $2 per million input tokens, $10 per million output tokens, a 1.05M-token window. What it is good for, what to compare it with and how to connect it in SKILLOK.

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In this article

In short#

Google's flagship reasoning model for complex software engineering, deep math, scientific problems and autonomous multi-step agents. It accepts text, images, audio, video and files.

Specifications#

Provider Google
Released 2026-10-13
Context window 1.05M tokens
Accepts audio, files, images, text, video
Answers with text
Reasoning mode yes
Tool calling yes
Open weights no
Identifier google/gemini-4-argon

Price#

Per 1M tokens In dollars
Input (question, context) $2
Output (answer) $10

For reference: a conversation of 20 questions of ~500 tokens and answers of ~800 tokens costs about $0.18. Models in reasoning mode spend more tokens on an answer than the text shows: the reasoning is paid for too.

What it is good for#

  • Hard math and science
  • Agents with long chains of steps
  • Analyzing video, audio and documents

Similar models#

Catalog models with the same kind of output, closest in the price of a typical request.

Model Input Output Window Price
GPT-6.1 Sol $2 $10 1.05M about the same
GPT-6.1 Sol Pro $2 $10 1.05M about the same
Claude Sonnet 5.5 $2 $10 1M about the same
GLM 5.3 Prime $2.8 $8.8 1M about the same
Kimi K3 $0.239 $11.936 1.05M about the same

Other Google models#

How to connect in SKILLOK#

Gemini 4 Argon works through OpenRouter: add an OpenRouter key in Settings → AI and pick the google/gemini-4-argon model. It then becomes available in Space AI, in tasks and to the repository agent. In detail — Connecting a model in SKILLOK.

Where the data comes from#

Prices, the context window and capabilities come from the public OpenRouter catalog as of 2026-10-19. A provider may change the price — the exact figure is always on the model's OpenRouter page.

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