Google just introduced Gemini 4 Carbon, its newest frontier model built specifically for long-horizon agentic tasks and cybersecurity defense. It grabbed the #1 spot on the Artificial Analysis Intelligence Index v5.0 and broke records in vulnerability detection and patching benchmarks. It costs $2 per million input tokens and $10 for output, rolling out first to select cyber defenders.
Google just launched Gemini 4 Argon, a frontier model tuned for deep work in coding, cybersecurity, and science. Ranking first on the Vals Index across key economic sectors, it has already driven a 35% boost in Google's internal agentic code commits. It is available now at $2 per million input tokens.
Google just announced Gemini 4 Argon, a frontier model built for long-horizon reasoning that pushes the output limit to an unprecedented 1 million tokens. Inside Google, it is already refactoring massive C++ codebases and hunting vulnerabilities. Why it matters: giving models the headroom to think across extended trajectories moves AI from an assistant to an autonomous engineer.
