Google DeepMind announces Gemini 4 Carbon for cyber defense

What happened.Google DeepMind announced Gemini 4 Carbon, a frontier model optimized for autonomous cyber defense and long-horizon software engineering.
Why it matters.Long-horizon agentic debugging shifts software maintenance from assisted autocomplete toward fully automated root-cause isolation. Proving reliable multi-day execution on complex kernels allows engineering organizations to automate patch verification across large legacy repositories.
The technical specifications:
- Vulnerability benchmarks: Carbon achieved 88.2 percent on SEC-bench Pro for autonomous vulnerability discovery, 54.8 percent on ExploitGym, and 71.0 percent on CWE-bench.
- Pricing and rollout: API rates start at 2 dollars per million input tokens and 10 dollars for output tokens. Cached inputs receive a 95 percent discount under the Fairwind Program.
- Agentic coding: Internal engineering teams observed the model running multi-day debugging loops. The system isolated subtle defects across low-level operating system codebases.
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