Google has unveiled Gemini 4 Argon, its most powerful AI model yet, meant for coding, research, enterprise work, and cybersecurity.
Gemini 4 Argon delivers GPT-6 Astra-level performance and even beats it in some of the benchmarks, at only 40% of the cost.
Google is initially rolling out Argon to selected cyber defenders through its Fairwind Program, rather than making it generally available. Google says it is gathering feedback and strengthening safeguards before expanding access to developers, enterprises, and consumers.
Pricing
Google says Argon will initially cost $2 per million input tokens and $10 per million output tokens when broader paid access begins. After the introductory period, pricing will rise to $4 and $20, respectively.
Coding and Long-Running Tasks
Google says Gemini 4 Argon is built for complex, long-horizon workflows and is already being used internally for debugging, research, algorithm design and large-scale code migrations.
The company says Argon scored 77.9% on DeepSWE v1.1, a benchmark focused on real-world software engineering tasks, and 51.3% on AutomationBench, where Google says it ranked first. It also scored 91.7% on LVBench, which evaluates long-video understanding.
Google says Argon helped migrate large C/C++ codebases to Rust, including projects exceeding 800,000 lines. In another internal example, it helped optimize a Rust video decoder to run 2.7x faster than an earlier Rust implementation.
The model supports up to a 1 million-token output limit, significantly higher than the 64,000-token limit cited for previous Gemini models.
Independent Benchmarks
Vals currently ranks Gemini 4 Argon first out of 41 models on its overall Vals Index with a score of 68.90%.
Vals says Argon’s overall score exceeds Claude Sonnet 5.5 (67.04%), Claude Opus 5.5 (66.97%), and GPT-6 Astra (63.13%). However, it does not lead in every individual test.
Cybersecurity Focus
Google trained Argon specifically for defensive cybersecurity and says the model can autonomously find, validate, and patch software vulnerabilities.
On CWE-bench v1, which measures vulnerability remediation, Argon scored 68% and tied for first place. Google also says Wiz used the model to identify a critical vulnerability affecting healthcare software that earlier frontier models had missed.
Fairwind gives selected governments, Google Cloud customers and cybersecurity partners access to advanced defensive AI tools.
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