Google Releases Gemini 4 Argon on Google Cloud for Complex Enterprise Tasks

Google has made its new frontier model, Gemini 4 Argon, available on Google Cloud, designed to handle deep, multi-step business tasks with high precision. The model is trained to maintain context across long workflows, making it suitable for complex software builds, financial analysis, and legal research.

Key Capabilities and Benchmarks

Argon excels in regulated industries requiring verifiable results. It leads the Vals Index for economic impact in finance, coding, legal, and tax work, and tops Harvey's Legal Agent Benchmark for legal research. In security, it ties for first place on CWE-Bench v1 with a 68% score for remediating vulnerabilities and leads the Gray Swan Indirect Prompt Injection benchmark, reducing attack success to 0.7%.

Engineering and Development Impact

Internal tests show significant efficiency gains for developers. The Agent Development Kit (ADK) team used Argon to cut in-memory session prep time by 40% and speed up cold imports by 21%. Engineering teams using Argon in Google Antigravity increased agentic code submissions by more than 35% while reducing code rollbacks by nearly a third.

Availability and Pricing

Gemini 4 Argon is available today in Gemini for business on web, desktop, and mobile, as well as via API in Gemini platform, Google AI Studio, and Google Antigravity. It launches with an introductory rate of $2 per million input tokens and $10 per million output tokens through November 30, 2026. Standard pricing will then apply at $4 per million input tokens and $20 per million output tokens.