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  "title": "Gemini 4 Carbon · 关系",
  "description": "Google DeepMind 于 2026 年 10 月 28 日发布的前沿人工智能模型，侧重网络安全防御与长周期任务，初期仅向受信任的网络安全人员开放。",
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        "title": "Gemini 4 Carbon: our next frontier model",
        "author": "Google",
        "date": "2026-10-28",
        "url": "https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-4-carbon/"
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        "title": "Google announces Gemini 4 Carbon with ‘significant gains across coding and agentic tasks’",
        "author": "9to5Google",
        "date": "2026-10-28",
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        "title": "Google announces Gemini 4 Carbon, its latest frontier AI model that you can’t use",
        "author": "Ars Technica",
        "date": "2026-10-28",
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    "createdAt": "2026-10-30T00:00:00+08:00",
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    "body": "Gemini 4 Carbon 是 [[organization_google_deepmind|Google DeepMind]] 于 2026 年 10 月 28 日发布的前沿人工智能模型，[[organization_google|Google]] 称其为迄今能力最强的模型，重点提升网络安全防御与长周期任务处理能力。\n\n## 发布与开放范围\n\nCarbon 与 9 月 30 日发布的 [[work_gemini_4_argon|Gemini 4 Argon]] 沿用同一套安全与防护措施。发布时仅向一小批经筛选的网络安全防御人员开放，随后通过 Fairwind 计划扩大至更多受信任合作伙伴，再面向开发者、企业和消费者推出。Google 表示正在参与美国政府的前沿模型发布前自愿测试流程。\n\n## 评测结果\n\nArtificial Analysis Intelligence Index v5.0 给出 59 分，Carbon 在该指数中排名第一；WebDev Arena 得分 1768，排名第四。Google 公布的网络安全评测在未启用防护栏的条件下进行：SEC-bench Pro 漏洞发现得分 88.2%，ExploitGym 漏洞可利用性验证得分 54.8%，CWE-bench（Collinear）根因修复得分 71.0%。Google 同时称，生成安全代码的成功率较 Argon 提升一倍以上，高严重度失配警报减少近 80%，Gray Swan 间接提示注入攻击成功率为 0.0%。\n\n## 定价\n\n介绍期价格与 Argon 相同，为每百万输入 token 2 美元、输出 token 10 美元，缓存输入按输入价的 95% 折扣计费；介绍期结束后为每百万输入 token 4 美元、输出 token 20 美元。",
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