Google has released Gemini 4 Argon, an AI model aimed at tasks like coding, research, writing, and especially defensive cybersecurity. Google says Argon can autonomously find, validate, and patch critical software vulnerabilities. The model is being rolled out only to a select set of cyber partners via its Fairwind Program, and Google positions it as outperforming other recent models on Vals benchmarks.
Google began rolling out Gemini 4 Argon to vetted cybersecurity defenders through its Fairwind Program, limiting outside access for now. The rollout is priced at $2 per million input tokens and $10 per million output tokens at launch. The model’s access and safeguards change so defenders get Argon first with cyber guardrails while later releases and commercial subscriptions are planned for other users.
Google DeepMind announced Gemini 4 Argon as the first Gemini 4-generation model aimed at long-horizon software engineering, enterprise knowledge work, and cyber defense. It can generate up to 1M output tokens in a single response, up from 64K on earlier Gemini models. Output-length and safety-guardrail changes enable larger refactors and longer reports in one turn, with a phased U.S. government pre-release process and pricing starting at $2 per 1M input tokens and $10 per 1M output tokens.
Google announced Gemini 4 Argon as its flagship model but is limiting access while it gathers early feedback and adjusts guardrails. The model is priced at $2 per million input tokens and $10 per million output tokens during an introductory period, before rising to $4 and $20. Access will roll out first to Fairwind participants, then paid API and AI Ultra subscribers, and only later to developers, enterprises, and consumers; overall it performs strongly on knowledge-work benchmarks but is weaker on some coding and cybersecurity measures.
Google announced Gemini 4 Argon, a new AI model aimed at complex software engineering, enterprise knowledge work, and cybersecurity defense. Access is being limited initially to a set of trusted cyber defenders, while Google works through the U.S. government’s voluntary pre-release access process. Over time, Google plans to gradually expand who can use the model.
Google launched Gemini 4 Argon, a frontier AI model aimed at careful reasoning and long-horizon professional tasks. It supports up to 1 million output tokens. Access will expand gradually via trusted testing and safety safeguards.
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