Gemini 4 Argon, announced in late September 2026 and rolled out across Google AI Studio, the Gemini API, Google Cloud, and Google Antigravity with the Google Pro paid subscription and above, changes the unit economics of autonomous software in five specific ways, according to the article. It expands the single-pass output ceiling to 1,000,000 tokens, jumping from a 64K output cap to a 1M-token long-decode limit within a 1M combined input-output sparse Mixture-of-Experts (MoE) window. It slashes context-heavy inference costs by 95% via context caching, launching at an introductory rate of $2 per 1M input tokens and $10 per 1M output tokens through November 30, 2026 ($4/$20 standard thereafter) with a 95% discount on cached input tokens. It hits 77.9% on DeepSWE v1.1 and ties for #1 at 68% on CWE-bench v1, while powering internal Google C/C++-to-Rust rewrites on libgav1 (achieving a 2.7x speedup over prior Rust ports) and uncovering 300+ TiB of data-center memory savings. It leads the GDP-weighted Vals Index across finance, legal, coding, and tax work, ranks #1 on AutomationBench (51.3%), and delivers a 14% accuracy jump over Gemini