Gemini 4 Argon targets deep work, not chat

Google's new frontier model is priced for enterprises and tuned for coding, science, and long multi-step tasks.

Google has made Gemini 4 Argon generally available to developers, enterprises, and consumers. The company pitches it at complex work: large codebase refactoring, financial and legal analysis, cybersecurity, and scientific research. Argon ranks first on the Vals Index, which measures performance across economic sectors including finance, coding, legal, and tax work.

Google's internal examples are unusually concrete. Argon helped the Chrome team separate core webpage handling from a roughly 6 million-line legacy folder, work that would have taken months. It cut in-memory session preparation time by 40% in Google's open-source Agent Development Kit and made the xTB quantum chemistry package up to 2.3x faster at predicting molecular structures.

The model launches at an introductory price of $2 per million input tokens and $10 per million output tokens, with cached input at 95% off. That pricing, plus availability in AI Studio, Antigravity, and the Gemini app, puts Argon in direct competition with other frontier models for enterprise workloads rather than casual chat.