Meet Google Gemini 4 Carbon: AI Model with Cybersecurity Focus

Google announced Gemini 4 Carbon, a frontier model it says ranks #1 on version 5.0 of the Artificial Analysis Intelligence Index at 59 and leads cybersecurity benchmarks including SEC-bench Pro at 88.2%, ExploitGym at 54.8% and CWE-bench at 71.0%. Google is releasing Carbon this week to a subset of cyber defenders, phasing access to more trusted partners through its Fairwind Program while engaging in the U.S. government's voluntary pre-release testing process, at the same introductory price as Gemini 4 Argon of $2 per million input tokens and $10 per million output tokens. Google said internal benchmarks show more than 2x uplift in secure-code generation success over Argon, and the Chrome team reported Carbon performed more than 10X better than another lab's large frontier model when generating high-quality patches.

Google recently announced the next frontier model: Gemini 4 Carbon, their strongest model with state-of-the-art cybersecurity and long horizon capabilities. Carbon ranks 1 on the recently updated v5.0 of Artificial Analysis Intelligence Index https://artificialanalysis.ai/evaluations/artificial-analysis-intelligence-index at 59. It shows significant gains across coding and agentic tasks as well as across key capabilities critical for cybersecurity defense, landing a firm lead in SEC-bench Pro 88.2% for finding vulnerabilities, ExploitGym 54.8% for exploitation, and CWE-bench 71.0% for patching. On Google’s internal benchmarks, Carbon drives a strong uplift in generating secure code, and in live coding environments with their own teams it shows reduced misalignment and fabrication rates. Building on Gemini 4 Argon https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-4-argon/ , which was launched two weeks ago, Carbon illustrates the pace at which Google is pushing the frontier forward. They’re researchers and models are working hand in hand to advance capabilities faster, while strengthening our safeguards in tandem. Google mentioned that they’re taking a deliberate approach to rollout and are actively engaged in the U.S. government’s voluntary process for pre-release model testing. Starting this week, they will make Carbon available to a subset of cyber defenders and will gradually phase access to additional trusted partners through our Fairwind Program https://deepmind.google/fairwind-program/ . They’re continuing to gather feedback and iterate on guardrails before making Carbon available to developers, businesses, and consumers via our product surfaces as soon as possible. Gemini 4 Carbon will launch at the same introductory price 1 https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-4-carbon/ footnote-1 as Argon at $2 per million input tokens and $10 per million output tokens, with cached input tokens priced at 95% off input token price. Designed to take on much harder, long-horizon engineering problems, Carbon is built for sustained agentic workflows. Internally, Google’s teams have seen Carbon run for days to persist through dead ends to tackle complex, multi-step engineering tasks like root-causing and patching subtle bugs across large codebases and low-level systems. Building on user feedback, they have focused on improving model performance across a variety of domains, including coding, agentic, and scientific tasks, as well as full-stack web development and multimodal understanding. With improved quality of output and artifacts in web development, Carbon jumps +89 elo points to land at 4 1768 on WebDev Arena https://arena.ai/leaderboard/code/webdev . Gemini 4 Carbon delivers a significant leap in cybersecurity capabilities. It achieves state-of-the-art performance across the cybersecurity defense lifecycle — vulnerability detection, validation, and remediation. Google’s teams are already seeing strong gains in cyberdefense. On internal benchmarks, Carbon achieves more than 2x uplift in success rate for generating secure code over Argon. As another example, the Chrome team has reported that Carbon performed more than 10X better than another lab’s large frontier model when generating high quality patches. Wiz, our leading Cloud security platform, also observes Carbon leading on benchmarks for web penetration testing, a core capability for Wiz’s Scan for Good https://www.wiz.io/blog/scan-for-good-critical-ai-exposures initiative. Carbon excels across key external benchmarks evaluated without guardrails : Gemini 4 Carbon builds on the same multi-layered safety and security stack of Argon — combining model training, real-time misuse defenses, prompt-injection resilience, and chain-of-thought monitoring. In particular, they made significant strides in model alignment with Argon, and reported its propensities to behave in an aligned way in our Safety and Security report https://storage.googleapis.com/deepmind-media/gemini/gemini 4 safety report.pdf . With Carbon, Google has challenged themselves to go a step further on alignment, and trained the model to respond to complex or high-pressure tasks in the right way. Pushing the frontier forward requires moving fast while remaining deliberate about deployment. With Gemini 4 Carbon, their goal is to deliver meaningful leaps in software engineering and cybersecurity defense without compromising on safety or reliability. Google say they’re eager to see how the initial cohort of cyber defenders use this model and they look forward to bringing Carbon to developers, businesses, and consumers soon. Meet Google Gemini 4 Carbon: AI Model with Cybersecurity Focus https://pub.towardsai.net/meet-google-gemini-4-carbon-ai-model-with-cybersecurity-focus-84a01868352f was originally published in Towards AI https://pub.towardsai.net on Medium, where people are continuing the conversation by highlighting and responding to this story.