Google launches Gemini 4 Carbon with a ‘significant leap’ in cybersecurity
Google launches Gemini 4 Carbon with a ‘significant leap’ in cybersecurity
Google has released its latest large model, Gemini 4 Carbon, achieving 'significant improvements' in coding, agent tasks, and network security. The model ranked first in the AI Analysis Index (v5.0) benchmark test and performed excellently in the SEC-bench Pro and ExploitGym evaluations.
Same story11 other outlets also reported this
- Artificial Analysis Articles··First
Gemini 4 Carbon topped the Artificial Analysis Intelligence Index v5
- Google DeepMind··+17 h 1 min
Google DeepMind releases the Gemini 4 Carbon cutting-edge model
- MarkTechPost··+17 h 49 min
Google DeepMind released Gemini 4 Carbon, emphasizing network security defense and coding.
- Ars Technica · AI··+18 h 47 min
Google has released Gemini 4 Carbon: a cutting-edge AI model that cannot be used immediately.
Adds:Ars Technica mentions the model has a 2x higher probability of generating bug-free code and a 10x higher ability to generate high-quality patches compared to non-Google models.
- The Decoder··+19 h 18 min
Google DeepMind releases Gemini 4 Carbon, just two weeks after Argon.
Adds:The Decoder notes the model topped the Artificial Analysis Intelligence Index v5.0 with 59 points, while the previous Argon scored 50 points.
- The Verge · AI··+20 h 3 min·Reading now
Google releases Gemini 4 Carbon, achieving a 'major leap' in cybersecurity capabilities
- ITHome · AI··+20 h 52 min
Google has released Gemini 4 Carbon, focusing on cybersecurity and topping the Artificial Analysis Intelligence Index.
- 36Kr · AI··+23 h 52 min
- QbitAI··+24 h 4 min
Google released Gemini 4 Carbon, surpassing Claude Opus 5.5 in multiple benchmarks.
- Platformer··+2 d
What are the common points between the bad days of Google and Reddit?
- O'Reilly Radar··+10 d
- The Verge · AI··+14 d
Google has publicly released Gemini 4 Carbon and previewed the swarm agent feature.
- Google DeepMind··+14 d
Google DeepMind releases the Gemini 4 Carbon cutting-edge model
- n8n Blog··+14 d
Google Gemini 4 Carbon is released in n8n, enhancing the security, reliability, and efficiency of agents and workflows
- The Decoder··+14 d
- ITHome · AI··+14 d
Google's strongest model yet, Gemini 4 Carbon, debuts: Focused on complex programming, scientific research, and cybersecurity
In order of publication · later reports are added as they appear · Compared by AI from each outlet’s title and summary
Emma Roth
is a news writer who covers the streaming wars, consumer tech, crypto, social media, and much more. Previously, she was a writer and editor at MUO.
Google has released its latest frontier model, Gemini 4 Carbon, offering “significant gains” in coding, agentic tasks, and cybersecurity. In an announcement on Wednesday, Google highlights Carbon’s top spot on the Artificial Analysis Intelligence Index (v5.0) benchmark, with Claude Opus 5.5 and GPT-6 Astra trailing behind.
The new Gemini 4 Carbon model offers improvements over Argon, which Google released earlier this month. It’s currently only available to a select group of cybersecurity defense companies, but it will eventually expand to other partners in its Fairwind Program.
The company says Carbon reflects the “pace at which we’re pushing the frontier forward,” coming with a “significant leap” in cyberdefense that makes it better at finding vulnerabilities and generating secure code. Carbon currently holds the number one spot on SEC-bench Pro, a benchmark that measures an AI model’s ability to discover real-world bugs, and ExploitGym, which measures how a model can turn a vulnerability into exploits.
Google says Gemini 4 Carbon is built for completing longer tasks, adding that its internal teams have seen it “run for days to persist through dead ends to tackle complex, multi-step engineering tasks.” It’s also better at avoiding shortcuts, resisting prompt injection attacks, and collaborating with users, according to Google. Carbon is supposed to offer more “transparency and honesty” as well, by cutting “unsupported claims” by two times when compared to Argon.
It will launch at the same competitive introductory price as Argon, at $2 per million input tokens and $10 per million output tokens.
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- Emma Roth
Source: The Verge · AI · theverge.com

