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Google Officially Launches Gemini 4 Argon, Targeting Coding and Professional Work

By Kevin Wong | Oct 14, 2026, 18:41 KST | Based on 14 Korean news reports

Key points

Google officially launched its top-tier AI model, Gemini 4 Argon, worldwide on the 13th (local time). Chosun Biz and AI Newspaper (인공지능신문) reported that the model is designed to solve complex tasks that require multi-step reasoning, such as coding, finance, law, cybersecurity and science. Datanet reported that Google DeepMind disclosed this on the 14th.

How it is offered depends on the user. According to Digital Daily and Industry News, developers and companies can use it through the Gemini API, and general users through paid subscription services. EBN reported that paid subscribers on the Pro and Ultra plans can use Argon in the Gemini app, AI Mode in Google Search and elsewhere.

Outlets differ somewhat in explaining the background of the launch. Byline Network noted that it comes two weeks after a limited release because of potential for misuse, and that its performance and features are the same as when it was unveiled on the 30th of last month. AI Times also reported that Google put forward practical results and integration with existing products as it commercialized the model released in limited form last month. Techworld News stressed an effort to capture the enterprise AI and development markets, including step-by-step reasoning for work and code writing and legacy-system modernization using AI agents.

There was also an explanation of the competitive picture. According to Byline Network, Google emphasized that it outperforms rival models such as GPT-6 Astra and Claude Opus 5.5. Digital Today, citing The Verge, reported that Google said the model has performance to compete with industry-leading models, and TechM reported that Google has entered the paid AI market competition with OpenAI and Anthropic.

In a separate article, AI Times also covered Gemini 4 Argon for robots. On the 13th, Google focused on improving robots' dexterous manipulation and work efficiency by reasoning about physical laws and 3D space and verifying actions in virtual simulations.

There was also coverage before the launch. AI Times, citing a Business Insider report on the 10th (local time), reported that Google was said to be testing internally an internal checkpoint model with improved coding performance, called "Carbon," ahead of the official release. The same outlet reported that on the 9th, Google Cloud unveiled an enterprise "Gemini Agent" equipped with both Argon and Claude.

Sources (in Korean)

Drafted with AI writing tools and published first; Kevin Wong reviews it after publication. Translated from the Korean version.