GoKawiil
Tech News
Google has begun rolling out Gemini 4 Argon, describing it as its most capable AI model yet. Access currently is limited to a small group of testers focused on cybersecurity defense, with plans to later expand availability to Google AI Ultra subscribers. Google released benchmark data showing strong performance across coding, legal reasoning, and business/economic tasks.
Alphabet introduced Gemini 4 Argon, describing it as its most capable AI model to date, with gains in software engineering, cybersecurity and professional tasks like finance and legal work. Google says the model is already reducing memory needs at its data centers and being used by quantum computing researchers, and it will first go to trusted cybersecurity partners and the U.S. government for safety testing before wider release.
Artificial Analysis benchmarked Gemini 4 Argon (High), a model that accepts text and image input and outputs text with a 1M token context window. It scored 53 on the firm's Intelligence Index, well above the median of 26, while using 110M tokens during evaluation versus a median of 82M. Pricing is set at $2.00 per 1M input tokens and $10.00 per 1M output tokens, both matching the median for comparable models.
Google announced Gemini 4 Argon, a new frontier AI model it claims leads the industry in coding, knowledge work, and cybersecurity tasks. The model is not yet publicly available, though Google engineers are already using it internally, including for data center memory optimization and migrating large C/C++ codebases to Rust. Google released benchmark results showing Argon outperforming rivals like GPT-6 Astra, Fable 5.1, and Opus 5.5, and confirmed it will support a 1 million token output limit, up from 64,000 in earlier Gemini models.
Google has unveiled Gemini 4 Argon, a new frontier AI model designed for sustained reasoning over complex, long-running tasks including software engineering, legal and finance work, and cybersecurity defense. The model is initially rolling out only to trusted testers through Google's Fairwind Program, alongside engagement with a U.S. government voluntary pre-release access process. Pricing has been set at $2 per million input tokens and $10 per million output tokens, with cached inputs discounted 95%.