Google unveils Gemini 4 Argon, an AI model built to hunt software bugs

Google has launched Gemini 4 Argon, the first model in its Gemini 4 series and one aimed squarely at defensive cybersecurity. The company says it can autonomously discover, validate, and patch software vulnerabilities. The launch landed on September 30, 2026. Beyond security, Google is pitching Argon for long-running, complicated workflows in software engineering and in knowledge-heavy fields like law and finance. The numbers behind Argon The headline spec is output capacity. Argon can produce up to 1 million tokens in a single response, compared with a 64K token output limit on earlier models. On benchmarks, Argon scored 77.9% on DeepSWE v1.1, a test built around real-world software engineering tasks. OpenAI’s GPT-6 Astra scored 74.1% on the same test, while Anthropic’s Claude Opus 5.5 posted 74.2%. Security is where Google is planting its flag. Argon achieved a top score of 68% on the vulnerability remediation portion of CWE-bench v1, a benchmark focused on fixing known categories of software weaknesses. Google has also shared internal results. The model helped move more than 800,000 lines of code in the Zircon kernel, part of the Fuchsia OS, over to Rust. The same work saved 300...