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.
arstechnica.com
· 2026-09-30
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%.
blog.google
· 2026-09-30
Google introduced a new frontier AI model, Gemini 4 Argon, which DeepMind SVP Koray Kavukcuoglu says achieves strong results in software engineering, enterprise legal and finance tasks, and cybersecurity defense. The company is initially limiting access to select trusted cyber-defense partners while it engages with a U.S. government voluntary pre-release review process and strengthens safety measures against misuse and prompt injection before wider release.
theverge.com
· 2026-09-30
Koray Kavukcuoglu, in his first media appearance as Google DeepMind's leader, told The Information that Gemini 4 is in its post-training refinement stage and that Google hopes to release it well before year-end. He said Google would keep up 'fast-paced iterations,' and acknowledged the company shelved a planned Gemini 3.5 Pro update to focus on faster Flash models instead.
theverge.com
· 2026-09-24
GoKawiil