Google Launches Gemini 4 Argon With Focus on Coding and Cybersecurity

The model is initially being made available to a limited group of trusted cyber defenders, with a broader rollout planned for developers, businesses and consumers. Announced on September 30, Gemini 4 Argon is built to work through longer, multi-step tasks, including software development, financial research, legal drafting and security vulnerability detection. Google said the model can analyse large amounts of information and carry out tasks that require several stages of reasoning.

One of the key changes is its expanded output limit of up to one million tokens, compared with 64,000 tokens previously. This allows the model to generate longer responses and work through complex tasks in a single sequence. Focus on Coding and Cybersecurity Google said its engineers are already using Argon for debugging, software migrations and algorithm design.

In one example, the company said the model helped optimise software used for video decoding, making a Rust-based implementation 2.7 times faster than an existing Rust version while producing identical video output. The model is also designed to identify, validate and patch software vulnerabilities. Google said Argon identified a critical vulnerability in healthcare software used by hospitals worldwide that exposed sensitive personal information.

The company did not identify the software in its announcement. Google is initially providing access to trusted cyber defenders through its cybersecurity programme, while continuing to test the model's safeguards before expanding availability. Pricing and Availability Gemini 4 Argon will initially cost $2 per million input tokens and $10 per million output tokens.

Cached input tokens will be priced at a 95% discount against the standard input rate. After the introductory pricing period, the rates will increase to $4 per million input tokens and $20 per million output tokens, according to Google. The company plans to begin broader access with paid application programming interface (API) customers and Google AI Ultra subscribers before expanding availability further.

Google said it is continuing safety testing and refining safeguards against misuse and prompt injection attacks before a wider release.