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Google Launches Gemini 4 Carbon With Enhanced Cybersecurity Capabilities

· Confirmed

Technology Desk

In Short: Building on Gemini 4 Argon, which was launched two weeks ago, Carbon illustrates the pace at which Google is pushing the frontier forward in AI capabilities.

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Logos: Google (Public domain); Google Gemini (Public domain)

Google today announced Gemini 4 Carbon, the latest iteration of its AI model designed to excel in cybersecurity and complex coding tasks. The new model shows significant gains across coding and agentic tasks, as well as critical cybersecurity defense capabilities.

According to Google's blog, Carbon ranks #1 on the recently updated v5.0 of the Artificial Analysis Intelligence Index at 59, marking a firm lead in SEC-bench Pro (88.2%) for finding vulnerabilities, ExploitGym (54.8%) for exploitation, and CWE-bench (71.0%) for patching.

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Gemini 4 Carbon will launch at the same introductory price as Argon, with $2 per million input tokens and $10 per million output tokens, and cached input tokens priced at 95% off the input token price. After the introductory period, the cost will increase to $4 per million input tokens and $20 per million output tokens.

In particular, Google made significant strides in model alignment with Argon, as reported in its Safety and Security report. On internal benchmarks, Carbon drives a strong uplift in generating secure code and shows reduced misalignment and fabrication rates in live coding environments with Google's own teams.

Building on Gemini 4 Argon, which was launched two weeks ago, Carbon illustrates the pace at which Google is pushing the frontier forward in AI capabilities. Starting this week, Google will make Carbon available to a subset of cyber defenders and will gradually phase access to additional trusted partners through its Fairwind Program.

Google is continuing to gather feedback and iterate on guardrails before making Carbon available to developers, businesses, and consumers via its product surfaces as soon as possible. The company positions Carbon as the top of the Gemini 4 line, using phrases like 'our next frontier model' and 'our strongest model.'

The choice to prioritize cybersecurity and complex coding tasks suggests Google expects scrutiny about how Carbon behaves when it runs unattended, not only how well it scores. Google's Chrome team reported that Carbon performed more than 10X better than another lab's large frontier model when generating high-quality patches.

Anyone planning a migration or procurement cycle around Carbon today is planning around a promise, not a ship date. The gap between 'announced' and 'being tested' matters for anyone choosing a coding model this quarter.

What this adds

Google's announcement of Gemini 4 Carbon follows the launch of Argon two weeks ago. The new model is designed to excel in cybersecurity and complex coding tasks, with a focus on coding, agentic, and scientific tasks, as well as full-stack web development and multimodal understanding.

Testing on an internal coding platform like Jetski suggests what the lab cares about measuring. The model may be a new checkpoint of Gemini 4 Argon, though this is not confirmed.

A high score on the Artificial Analysis Intelligence Index suggests Carbon can triage large volumes of code, which is crucial for teams dealing with backlogs of unreviewed dependencies.

Background

Google announced Gemini 4 Carbon, its latest AI model designed to excel in cybersecurity and complex coding tasks.

Google today launched Gemini 4 Carbon, its latest AI model designed to excel in cybersecurity and complex coding tasks.

What's confirmed

What's still developing

Sources