Google has unveiled Gemini 4 Argon, its newest frontier artificial intelligence model, as competition intensifies among the world’s leading AI developers.
The model sits at the top of Google’s Gemini 4 family and is designed for complex, long-running workloads across software engineering, enterprise knowledge work and cybersecurity. Google says Argon can sustain deeper reasoning over extended tasks, while Reuters reported that the model is larger and more capable than the company’s previous Pro-class systems.
Google is initially giving access to a limited group of cybersecurity specialists through its Fairwind Program. Wider availability will come later as the company gathers feedback, tests safeguards and expands access to developers, businesses and consumers. Paid API customers and Google AI Ultra subscribers are expected to be among the first broader groups to receive access, although Google has not announced a firm public release date.
Argon will initially cost $2 per million input tokens and $10 per million output tokens. Google said those introductory prices will later rise to $4 and $20 respectively.
One of the model’s biggest technical changes is its expanded output capacity. Google has increased the maximum output limit from 64,000 tokens to one million tokens, allowing Argon to work through much longer and more complex tasks in a single run.
Thousands of Google employees are already using the model internally for coding, research and writing. The company said Argon helped researchers improve the efficiency of a quantum computing process by 40 per cent in one test. Teams of AI agents have also identified memory optimisations across Google data centres that freed more than 300 tebibytes of capacity.
Google is also using Argon agents to support large-scale software migrations, including moving C and C++ codebases to the Rust programming language. Some of those projects involve hundreds of thousands of lines of code and are being subjected to automated and manual review before deployment.
Cybersecurity Becomes a Major Focus
Cybersecurity is one of the main areas where Google is positioning Argon as a significant upgrade.
The company says the model can autonomously identify, validate and patch critical software vulnerabilities. Trusted cybersecurity partners and internal Google teams are expected to receive versions with fewer cyber-related restrictions so they can use the model’s full defensive capabilities.
Cybersecurity company Wiz is already testing Argon through its Scan for Good initiative. According to Google, the model identified a critical vulnerability affecting healthcare software used by hospitals, uncovering an issue that earlier frontier models had failed to detect.
Google is also participating in the US government’s voluntary process for providing authorities with pre-release access to advanced AI systems as it prepares for broader deployment.
The launch comes as competition between Google, OpenAI and Anthropic continues to intensify, particularly in coding, enterprise applications and cybersecurity. Reuters reported that Google is positioning Argon directly against advanced systems from both rivals as it seeks to strengthen Gemini’s standing at the top end of the AI market.
Google says its internal testing shows Argon delivering frontier-level performance across several areas, although benchmark results vary by task and competing models remain stronger in some categories.
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