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Google released Gemini 4 Argon, a new frontier model designed to handle complex multi-step business tasks across software development, finance, legal work, and security. The model can maintain context over long documents, deliver precise results with verifiable citations, and execute autonomous work from a single prompt.
- Argon handles multi-step tasks that previously took hours or days, processing long documents with mixed text, tables, charts, and images into structured outputs with honest reporting of limitations.
- In regulated domains, Argon leads on benchmarks for precision: it tops the Vals Index for financial and legal work, scores 68% on CWE-Bench for security vulnerability remediation, and achieved 20% better task success than earlier models in ServiceNow's testing.
- Google's internal teams used Argon to cut code session prep time by 40%, reduce rollbacks by nearly a third, and compress months of architectural refactoring work into weeks on Chrome's 40-million-line codebase.
- Argon resists indirect prompt injection attacks at 0.7% success rate across 15 adaptive attempts and includes defensive security capabilities while blocking offensive tasks like pentesting.