Google 发布 Gemini 4 Carbon,称网络安全能力显著跃升
Google launches Gemini 4 Carbon with a ‘significant leap’ in cybersecurity
Google 发布前沿模型 Gemini 4 Carbon,称其在编码、智能体任务和网络安全方面有明显提升,并在 Artificial Analysis Intelligence Index(v5.0)上排名第一,Claude Opus 5.5 和 GPT-6 Astra 位列其后。该模型目前仅向部分网络安全防御公司开放,后续将通过 Fairwind Program 扩展给其他合作伙伴;它在 SEC-bench Pro 和 ExploitGym 两个基准上排名第一,定价与 Argon 相同,为每百万输入 token 2 美元、每百万输出 token 10 美元。
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原文列出 Gemini 4 Carbon 在编码、智能体任务和网络安全上的提升,并给出与 Argon 的定价对比。
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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.