Google DeepMind Unveils Gemini 4 Argon with 1M Output Tokens for Coding, Knowledge Work and Cyber Defense
Google DeepMind has just announced Gemini 4 Argon, its new frontier model and the first model of the Gemini 4 generation. It targets long-horizon software engineering, enterprise knowledge work in legal and finance, and cybersecurity defense. The biggest technical change is output length. Argon can generate up to 1M tokens in a single response, up from 64K on earlier Gemini models. What Google Announced Google DeepMind described Argon as built for complex workflows across coding, enterpri
Google DeepMind announced a new AI model called Gemini 4 Argon designed for software engineering, enterprise knowledge work, and cybersecurity defense. The model's defining feature is its ability to generate up to 1 million output tokens in a single response, compared to 128 thousand tokens from competing models. This larger output capacity allows developers to complete large code refactors or generate lengthy reports without breaking work across multiple requests. The model is currently available only through a limited program with cyber defenders and the U.S. government, with introductory pricing at $2 per million input tokens and $10 per million output tokens.
Explainer: Gemini 4 Hydrogen Explained: Speed, Benchmarks, and Costs
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Introducing Gemini 4 Hydrogen
Google's latest model aims to compete with other frontier AI systems in reasoning and multimodal capabilities across text, image, audio, and video.
Also reported by Ars Technica
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Also reported by The Verge, SiliconANGLE, MarkTechPost and The Decoder
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Also reported by SiliconANGLE and The Decoder
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