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Large language model

Gemini 4 Argon

Gemini 4 Argon is Google DeepMind's flagship reasoning model, released on 13 October 2026 as the first member of the Gemini 4 family. It accepts text, images, video, audio and PDF and outputs text, and Google positions it for complex software engineering, science, agentic work and long-decode generation up to 1M tokens.

Last reviewed 28 Oct 2026 · by Google DeepMind

Facts at a glance

DeveloperGoogle DeepMind
Released13 October 2026 source
API namegemini-4-argon source
Context window1,048,576 tokens (unified input and output limit) source
Max output65,536 tokens by default; up to 1,048,576 with long decode source
API price$2 per 1M input tokens and $10 per 1M output tokens through 30 November 2026; $4 and $20 from 1 December 2026 source
ModalitiesText, image, video, audio and PDF input; text output
Free tierNot available on the Gemini API free tier source

What Gemini 4 Argon is used for

Google describes Gemini 4 Argon as a model for deep, multi-step work in coding, finance, legal, cybersecurity and science. It supports function calling, code execution, search grounding, file search, URL context, structured outputs and a preview of computer use in the Gemini API. Thinking can be set to low, medium or high. Only implicit caching is supported. Google publishes a separate model card with safety evaluations under its Frontier Safety Framework.

Questions people ask

When was Gemini 4 Argon released?
Google announced general availability on 13 October 2026 in the Gemini API, Google AI Studio, Google Antigravity, the Gemini app and AI Mode in Search for paying subscribers.
How much does Gemini 4 Argon cost?
The introductory API price is $2 per million input tokens and $10 per million output tokens through 30 November 2026. From 1 December 2026 it rises to $4 and $20.
What is the context window of Gemini 4 Argon?
1,048,576 tokens, shared between input and output, according to the Gemini API model page.