By PYMNTS | October 13, 2026
Google’s new frontier model, Gemini 4 Argon, is now available to developers, enterprises, scientists and consumers, the company said in a Tuesday (Oct. 13) blog post.
“Argon excels at deep work in complex, real-world tasks across domains including coding, finance, legal, cybersecurity and science,” Google said in the post.
Google announced Gemini 4 Argon in a Sept. 30 blog post, saying the company was initially releasing the model to a set of trusted cyber defenders before releasing it to developers, enterprises and consumers who are paid application programming interface (API) customers or Google AI Ultra subscribers.
Early users of Argon have used the model to solve major engineering problems, optimize business workflows, find and patch cybersecurity vulnerabilities, and enable novel breakthroughs in quantum computing, nuclear fusion and life sciences, according to the Tuesday blog post.
“At Google, we’ve been using Argon on our hardest engineering problems,” the company said. “Over the past few weeks, software engineers have been shipping high-quality code faster than ever.”
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For safety and security, Argon is equipped with misuse and jailbreak defenses; agent alignment and real-time monitoring; and prompt injection resistance, per the post.
Google rolled out Argon globally on Tuesday. Cybersecurity defenders can apply to join the Fairwind Program to get access to the model without cyber guardrails on a rolling basis, the post said.
Google said Aug. 11 that its AI app, the Gemini app, had reached more than 1 billion monthly users and had become the fastest-growing product in the company’s history.
That figure was up from the 650 million monthly active users Google reported in October 2025.
Sundar Pichai, CEO of Google and Alphabet, said in an Aug. 11 post on X: “1B+ people are now using [the Gemini app] every month to spark new ideas and get things done. It’s our fastest-growing product ever, and our 14th to hit the 1B-user mark.”
Alphabet reported in July that during the second quarter, enterprise customers’ demand for computing capacity, Gemini models and AI applications contributed to an 82% increase in Google Cloud revenue and pushed Cloud backlog to $514 billion.
PYMNTS reported at the time that the scale of that demand had strengthened Alphabet management’s view of the AI opportunity over the past year.
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