Output token limit just jumped from 64K to a full million. Google's new frontier model is built to solve tough, long-horizon problems in one continuous pass. Title: Gemini 4 Argon: our next era of frontier intelligence URL: 📝 Overview Google's new frontier model built for software engineering, enterprise knowledge work (legal/finance), and cybersecurity defense. It's rolling out first to trusted cyber defenders through the Fairwind Program, with broader availability to follow. ❗ Problem it solves Complex, long-horizon professional tasks used to run into output and context limits. Gemini 4 Argon expands output capacity from 64K to 1 million tokens, enabling deep, sustained reasoning to finish tough problems in a single pass. 🛠️ Method Beyond the expanded token budget, it strengthens multimodal understanding, especially video and visual analysis. On safety, Google highlights four pillars: refusing harmful requests while preserving legitimate dual-use research, automated red-teaming for prompt-injection resilience, chain-of-thought monitoring that can halt execution, and sandboxed, isolated environments. 📊 Results 77.9% on DeepSWE v1.1 (state of the art on real-world long-horizon coding), #1# on AutomationBench at 51.3% for end-to-end business execution, tied for first on CWE-bench v1 (vulnerability remediation) at 68%, and 91.7% on LVBench for video understanding. 🏢 Use cases Inside Google, it beat a published quantum-optimization baseline by 40% in minutes, freed over 300 TiB of data-center memory, and helped migrate 800K+ lines of C/C++ to Rust. #Gemini4Argon# #FrontierAI#