Google unveils Gemini 4 Argon, limits access for now

Google has unveiled Gemini 4 Argon, its latest frontier AI model, positioning it as a formidable rival to leading systems from OpenAI and Anthropic in complex, long-horizon tasks, yet it is withholding wide release while further safety testing is under way.

Announced on September 30, the model is engineered to sustain deep reasoning across software engineering, financial research, legal work and cybersecurity. However, Google is initially restricting access to trusted cyber defenders through its Fairwind Program as it conducts additional safety evaluations. According to the company, Argon is built for demanding workflows that require extensive reasoning and can process up to 1 million output tokens, a capacity that substantially expands its scope for multi-step problem-solving.

In terms of performance, Google says the model is already being deployed internally for software debugging, large-scale codebase migration and engineering optimisation. Moreover, it has reported strong results in coding, financial research, legal drafting and cybersecurity evaluations. Nevertheless, Reuters reported that Argon does not outperform rival models in every assessment, particularly in some coding tests, which suggests that the competitive landscape remains finely balanced.

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For the time being, Argon will remain beyond the reach of ordinary users, as Google intends to refine its safeguards and gather feedback before extending access to developers, businesses and consumers. Meanwhile, the company has set an introductory price of $2 per million input tokens and $10 per million output tokens, underscoring its emphasis not only on advanced capabilities but also on the economic viability of deploying sophisticated AI systems at scale.