Gemini 4 Argon is a new frontier model released Oct 13, 2026, made available globally via API in AI Studio and the Gemini platform, in Google Antigravity for AI Ultra subscribers, and in the Gemini app and AI Mode in Search for Google AI Ultra and Pro users. Priced at an introductory $2 per million input tokens and $10 per million output tokens (with cached input tokens 95% off), Argon is presented as optimized for deep, multi-step real-world tasks across coding, finance, legal, cybersecurity, and science. Google positions Argon as top-ranked on the Vals Index for sector-spanning performance and emphasizes stronger reasoning, multimodal perception, clearer communication, and better adherence to style and grounding than prior Gemini models.
Concrete deployments and measured gains back those claims: within Google, Argon increased agentic code submissions by over 35% and reduced rollbacks by nearly a third. It helped Chrome separate a ~6M-line legacy folder inside a 40M-line codebase and finished months of refactor work in weeks; it produced a 40% cut to in-memory session prep and 21% faster cold imports in an open-source Python agent framework; and it sped up xTB quantum chemistry workloads by up to 2.3x (2.0x for conformer search). Performance engineering with Argon yielded a 2.85x end-to-end inference speedup on Gemma 4 E2B via vLLM with no quality loss. Use cases extend to complex 3D visualizations, automated document synthesis, LiDAR-based heritage reconstruction, vulnerability patching, and research in quantum computing, fusion, and life sciences, with emphasis on responsible development and safety.
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