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Google Launches Gemini 4 Carbon With Enhanced Cybersecurity and Coding Capabilities
· Confirmed
In Short: According to Google, Carbon shows significant gains across coding and agentic tasks, as well as key capabilities critical for cybersecurity defense.
Google today announced Gemini 4 Carbon, the latest iteration of its AI model designed to excel in cybersecurity and complex coding tasks. 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.
According to Google, Carbon shows significant gains across coding and agentic tasks, as well as key capabilities critical for cybersecurity defense. It leads in SEC-bench Pro (88.2%) for finding vulnerabilities, ExploitGym (54.8%) for exploitation, and CWE-bench (71.0%) for patching.
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.
SVP of Google DeepMind and Chief AI Architect, Google, stated, 'Today, we’re announcing the next frontier model: Gemini 4 Carbon, our strongest model with state-of-the-art cybersecurity and long-horizon capabilities.'
Carbon will first be made available to a subset of cyber defenders and will gradually phase access to additional trusted partners through Google’s Fairwind Program.
The model is designed to take on much harder, long-horizon engineering problems, built for sustained agentic workflows, and achieves state-of-the-art performance across the cybersecurity defense lifecycle, including vulnerability detection, validation, and remediation.
The Chrome team reported that Carbon performed more than 10X better than another lab's large frontier model when generating high-quality patches.
Google positions Carbon as the top of the Gemini 4 line, using phrases like 'our next frontier model' and 'our strongest model.' The company groups the gains into several areas, and the order matters.
Anyone planning a migration or procurement cycle around Carbon today is planning around a promise, not a ship date, as the model is still being tested internally on Google's coding platform, 'Jetski.'
What this adds
The choice to focus on cybersecurity and coding tasks suggests Google expects scrutiny about how Carbon behaves when it runs unattended, not only how well it scores.
A high score on the Artificial Analysis Intelligence Index suggests Carbon can triage large volumes of code, which matters to teams that sit on 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
- 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.
- Building on Gemini 4 Argon, which was launched two weeks ago, Carbon illustrates the pace at which we’re pushing the frontier forward.
- Starting this week, we will make Carbon available to a subset of cyber defenders and will gradually phase access to additional trusted partners through our Fairwind Program.
- Following the launch of Argon two weeks ago, Google today announced Gemini 4 Carbon as its next frontier model.
- Yesterday, Google announced its latest Gemini 4 Carbon model, which is said to be the strongest model with state-of-the-art cybersecurity and long-horizon capabilities.
- Coding and agentic tasks come first, which tells developers where Google wants the model judged.
- Anyone planning a migration or a procurement cycle around Carbon today is planning around a promise, not a ship date.
- The Chrome team reported that Carbon performed more than 10X better than another lab's large frontier model when generating high-quality patches.
What's still developing
- 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.
- That person said Carbon’s coding “feels like Opus 5.5,” then cautioned that the model needed further testing.
- A high score here suggests Carbon can triage large volumes of code, which matters to teams that sit on backlogs of unreviewed dependencies.
- The choice to focus on cybersecurity and coding tasks suggests Google expects scrutiny about how Carbon behaves when it runs unattended, not only how well it scores.