CALIFORNIA / RankWire.AI / – Google has unveiled Gemini 4 Argon, its latest flagship artificial intelligence system designed for sophisticated professional applications. Announced on Sept. 30, Argon is positioned as the premier model within the Gemini 4 series. It is capable of supporting intricate tasks such as software development, financial analysis, legal research, and cybersecurity operations. Additionally, the model is adept at managing extensive reasoning and execution sequences. Currently, access remains selective, with certain cybersecurity specialists utilizing Argon through the Fairwind Program.
The output limit of 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 perform more extended tasks without requiring work to be split across multiple sessions. Initial API pricing begins at $2 per million input tokens, while output tokens are priced at $10 per million for the same period. Inputs stored in cache benefit from a 95% discount. Future pricing is expected to adjust to $4 for input tokens and $20 for output tokens.
Currently, thousands of employees within Google utilize Argon for coding, research, and writing tasks. Internal teams have tested its capabilities on projects involving data center optimization and large-scale software migrations. One such project employed Argon agents to facilitate the migration of C and C++ codebases to Rust, while another focused on memory profiling across data centers. These optimization efforts resulted in freeing over 300 tebibytes of memory, with additional savings identified through ongoing system analysis.
Argon enhances capacity for extended technical and reasoning tasks
In performance evaluations, Google reported a 77.9% score for Argon on DeepSWE v1.1, which assesses long-term software engineering capabilities. The company also published results in areas including finance, legal work, automation, and multimodal functions. Argon is a product of Google DeepMind’s development efforts within the broader Gemini model series, combining coding tools with long-context reasoning and multimodal functionalities. Its expanded output capacity supports workflows that involve multiple interconnected steps before completion.
Cybersecurity remains a key focus during the initial deployment phase. Argon can identify, verify, and remediate vulnerabilities in authorized defensive environments. Wiz is deploying the model through its Scan for Good initiative, aimed at addressing security flaws in public infrastructure. Google also reported a 68% score on CWE-bench v1, a benchmark dedicated to vulnerability remediation. Selected security professionals are able to use Argon in environments without standard cyber guardrails when working on sanctioned defensive security tasks.
Limited public access during phased deployment
Google has not yet announced a specific date for widespread public access to Gemini 4 Argon. The company is releasing the model gradually, collecting feedback from early users, and participating in a voluntary U.S. government process that grants pre-release access to advanced AI models. Once fully available, it will serve developers, enterprise clients, and consumers. Priority access is anticipated for paid API subscribers and Google AI Ultra members, although a definitive launch date has not been disclosed.
Additionally, Google clarified that Gemini 3.5 Pro will not be released. This model was previously anticipated before the Gemini 4 series. Argon now acts as the flagship offering for demanding reasoning and professional workloads. Other models within the Gemini family remain accessible for users with varying performance and budget requirements. For now, Gemini 4 Argon is primarily aimed at trusted testers, cybersecurity partners, and select early-access programs, with broader release still in progress.