CALIFORNIA / RankWire.AI / – Google has launched Gemini 4 Argon, its newest premier artificial intelligence system designed for sophisticated professional tasks. Announced on Sept. 30, Argon is positioned as the flagship model within the Gemini 4 series. It is capable of supporting complex software development, financial analysis, legal research, and cybersecurity operations. Additionally, the model can manage extended reasoning processes and execution sequences. Access to the model remains restricted initially, with selected cybersecurity professionals utilizing Argon through the Fairwind Program.
The maximum output limit for Argon has been increased to 1 million tokens, a significant jump from the previous cap of 64,000 tokens. This enhancement enables the model to handle longer tasks without needing to split work across multiple sessions. The introductory API pricing begins at $2 per million input tokens, while output tokens are billed at $10 per million during the same period. Inputs stored in cache benefit from a 95% discount. Future pricing adjustments will set costs at $4 for input and $20 for output tokens.
Currently, thousands of Google employees utilize Argon for coding, research, and writing tasks. Internal teams have tested the model on projects involving data center optimization and large-scale software migrations. One such initiative employed Argon agents to facilitate C and C++ to Rust migrations, while another focused on memory profiling across data centers. These efforts have resulted in freeing over 300 tebibytes of memory and identifying further savings through ongoing system analysis.
Argon broadens capabilities for extended technical assignments
Google highlighted a 77.9% score for Argon on DeepSWE v1.1, a benchmark measuring performance in extensive software engineering tasks. The company also shared results related to finance, legal activities, automation, and multimodal functions. Argon is developed by Google DeepMind as part of the larger Gemini model family, which integrates coding tools with long-context reasoning and multimodal features. Its expanded output capacity allows it to support workflows involving numerous interconnected steps before completing a task.
Cybersecurity remains a key focus during the initial rollout phase. Argon can identify, verify, and patch software vulnerabilities within authorized defensive environments. Wiz is leveraging the model through its Scan for Good initiative, which aims to detect security flaws in public infrastructure. Google reported a 68% score on CWE-bench v1, a benchmark dedicated to vulnerability remediation. Selected cybersecurity defenders can also use Argon without standard protective guardrails when working on authorized security tasks.
Availability to the public is limited during the phased deployment
Google has not announced a definitive date for widespread public access to Gemini 4 Argon. The company is employing a phased approach, collecting feedback from early users, and participating in a voluntary U.S. government process that grants pre-release access to advanced AI models. Future availability will include developers, enterprise clients, and consumers. Paid API customers and Google AI Ultra subscribers are expected to gain access first, though no specific launch date has been provided.
Google also confirmed that it does not plan to release Gemini 3.5 Pro, a model initially anticipated before the Gemini 4 series. Argon now stands as the flagship solution designed for complex reasoning and professional applications. Other Gemini models remain accessible for users with different needs regarding performance and pricing. For the moment, Gemini 4 Argon is focused on trusted testers, cybersecurity partners, and limited early-access programs, with broader rollout still pending.