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Google Launches Gemini 4 Carbon with Enhanced Cybersecurity Capabilities
· Confirmed
In Short: Gemini 4 Carbon ranks #1 on the recently updated v5.0 of the Artificial Analysis Intelligence Index at 59, demonstrating its strength in cybersecurity and long-horizon capabilities.
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 key capabilities critical for cybersecurity defense, according to Google's blog post.
Gemini 4 Carbon ranks #1 on the recently updated v5.0 of the Artificial Analysis Intelligence Index at 59, demonstrating its strength in cybersecurity and long-horizon capabilities. The model leads in SEC-bench Pro (88.2%) for finding vulnerabilities, ExploitGym (54.8%) for exploitation, and CWE-bench (71.0%) for patching.
Google will launch Gemini 4 Carbon at the same introductory price as Argon, with $2 per million input tokens and $10 per million output tokens. Cached input tokens will be 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.
Building on Gemini 4 Argon, which was launched two weeks ago, Carbon illustrates the pace at which Google is advancing its AI capabilities. The company emphasizes that Carbon will first be made available to a subset of cyber defenders and will gradually phase access to additional trusted partners through its Fairwind Program.
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. Google plans to gather feedback and iterate on guardrails before making Carbon available to developers, businesses, and consumers.
Gemini 4 Carbon is designed to handle much harder, long-horizon engineering problems and is built for sustained agentic workflows. The model achieves state-of-the-art performance across the cybersecurity defense lifecycle, including vulnerability detection, validation, and remediation.
The choice of focusing on coding and agentic tasks suggests that Google expects scrutiny about how Carbon behaves when it runs unattended, not only how well it scores. Developers and businesses planning to migrate or procure Carbon today are advised to plan around a promise, not a ship date.
Google positions Carbon as the top of the Gemini 4 line, emphasizing its strength in cybersecurity and complex coding tasks. The company groups the gains into several areas, and the order matters.
What this adds
On Google's unveiling of Gemini 4 Carbon, highlighting its enhanced cybersecurity capabilities and complex coding tasks.
Background
Google has unveiled Gemini 4 Carbon, its latest AI model designed to excel in cybersecurity and complex coding tasks.
Google has unveiled Gemini 4 Carbon, its latest AI model designed to excel in cybersecurity and complex coding tasks.
What's confirmed
- 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.
- Carbon ranks #1 on the recently updated v5.0 of Artificial Analysis Intelligence Index at 59.
- Gemini 4 Carbon will launch at the same introductory price 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.
- On internal benchmarks, Carbon drives a strong uplift in generating secure code, and in live coding environments with our own teams it shows reduced misalignment and fabrication rates.
- We’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.
- Following the launch of Argon two weeks ago, Google today announced Gemini 4 Carbon as its next frontier model.
What's still developing
- In particular, we made significant strides in model alignment with Argon, and reported its propensities to behave in an aligned way in our Safety and Security report.
- Gemini 4 Argon reached general availability on October 13, according to developer-focused outlets such as Computing for Geeks, and engineers are already weighing it against Claude and OpenAI options in our GPT-6.1 Sol vs Sonnet 5.5 vs Gemini 4 Argon comparison.
- Anyone treating “feels like Opus 5.5” as parity is reading more than the sentence says.
- The gap between “announced” and “being tested” matters for anyone choosing a coding model this quarter.
- That person said Carbon’s coding “feels like Opus 5.5,” then cautioned that the model needed further testing.
- Short version: one unnamed Google employee told Business Insider that Carbon’s coding “feels like Opus 5.5,” and added that more testing was needed.
- A high score here suggests Carbon can triage large volumes of code, which matters to teams that sit on backlogs of unreviewed dependencies.