Google launches flagship AI model Gemini 4 Argon for developers, businesses

October 13, 2026 12:01 PM EDT

The Gemini app icon on a smartphone in this illustration taken October 27, 2025. REUTERS/Dado Ruvic/Illustration

Oct 13 (Reuters) - Alphabet's Google ‌on Wednesday released ​its ​flagship AI model Gemini 4 Argon to developers and businesses worldwide, seeking to regain ground against rivals OpenAI and Anthropic ‌after months of delays and a leadership shakeup at ⁠its DeepMind lab.

The model excels at "deep work" on complex, multi-step tasks in coding, finance, law, ‌cybersecurity and science, Google ‌said. API pricing at launch starts at $2 per million input tokens and $10 per million output tokens, with rates set to double after ​November 30.

The release follows a rocky stretch in Google's AI efforts. The company announced in September that it no longer planned to ⁠release Gemini 3.5 Pro, which CEO Sundar Pichai had originally said would be released in ​June.

It also overhauled DeepMind after the AI lab's co-founder and CEO Demis Hassabis stepped aside and several leaders of its Gemini ​model left the company.

Argon is available ‌to paying customers through the company's AI application building tools. Google AI Pro and Ultra subscribers can access ⁠it through the Gemini app and AI Mode in Search, while the Antigravity coding tool is limited to Ultra subscribers.

Teams using Argon in Antigravity increased agentic ⁠code submissions by more than 35%, while reducing code rollbacks by nearly a ​third, Google said.

Customers testing the model early include Deloitte, LexisNexis, Ambience Healthcare and Isomorphic Labs.

Meanwhile, Google said it would open its Fairwind Program to hundreds of additional partners. ‌The program gives vetted cybersecurity defenders a version of Argon without its cyber guardrails. In September, the company ‌had said it was providing the model to select cybersecurity partners.

Separately, Google ⁠will offer 10,000 scientists six ‌months of free access ​to Antigravity's highest usage tier.

(Reporting by Kenrick Cai in San Francisco and Prathik Jayaprakash in Bengaluru; Editing by ‌Jonathan Ananda)



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