Google has introduced Gemini 4 Argon, its new flagship artificial intelligence model designed to handle complex tasks across software development, scientific research, finance, law and cybersecurity. Announced on October 13, 2026, the model is aimed at developers, businesses and users who need advanced AI capabilities for demanding professional work.
Designed for complex tasks and large volumes of data
Gemini 4 Argon is built to handle multi-step tasks, analyze large amounts of information and assist with complex software projects. According to Google, the model can be used for code refactoring, business process optimization and scientific problem-solving.
One of its key features is a context window of 1,048,576 tokens, allowing it to process large volumes of documents, source code and other information within a single interaction. The context window covers the input and the model’s generated output, subject to the applicable limits.
API pricing and access
Google has set the initial API price at $2 per million input tokens and $10 per million output tokens. These rates are scheduled to remain in effect until November 30, 2026. From December 1, the prices are expected to increase to $4 per million input tokens and $20 per million output tokens.
The API enables developers to integrate Gemini 4 Argon into their own applications, products and services.
Who can use Gemini 4 Argon?
Gemini 4 Argon is available globally to developers and businesses through the Gemini API and Google AI Studio. It is also available to Google AI Ultra subscribers on the Antigravity platform, while access through the Gemini app and Google Search’s AI Mode is available to Google AI Pro and Ultra subscribers.
Google also reports using the model in its internal software development processes, where it has helped increase AI-assisted code submissions by more than 35%.
The launch of Gemini 4 Argon reflects Google’s continued efforts to strengthen its position in the market for AI models designed for complex professional tasks. Its practical value will depend on the user’s requirements, the complexity of the work and the cost of usage.
