Gemini 4 Carbon

Gemini 4 Carbon is our strongest model with state-of-the-art cybersecurity and long horizon capabilities.

Gemini 4 Carbon 是我们最强大的模型，具备最先进的网络安全和长周期任务处理能力。

SVP, Google DeepMind and Chief AI Architect, Google

Google DeepMind 高级副总裁兼首席 AI 架构师

Today, we’re announcing the next frontier model: Gemini 4 Carbon, our strongest model with state-of-the-art cybersecurity and long horizon capabilities.

今天，我们宣布推出下一代前沿模型：Gemini 4 Carbon，这是我们最强大的模型，具备最先进的网络安全和长周期任务处理能力。

Carbon ranks #1 on the recently updated v5.0 of Artificial Analysis Intelligence Index at 59. 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. 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.

Carbon 在最近更新的 v5.0 人工智能分析指数（Artificial Analysis Intelligence Index）中以 59 分位列第一。它在编码和智能体任务，以及网络安全防御的关键能力方面表现出显著提升，在漏洞发现的 SEC-bench Pro（88.2%）、漏洞利用的 ExploitGym（54.8%）以及补丁修复的 CWE-bench（71.0%）中均处于领先地位。在内部基准测试中，Carbon 在生成安全代码方面带来了显著提升，并且在我们团队的实时编码环境中，它表现出了更低的失准率和虚构率。

Building on Gemini 4 Argon, which was launched two weeks ago, Carbon illustrates the pace at which we’re pushing the frontier forward. Our researchers and models are working hand in hand to advance capabilities faster, while strengthening our safeguards in tandem.

基于两周前发布的 Gemini 4 Argon，Carbon 展示了我们推动前沿技术发展的速度。我们的研究人员与模型携手合作，在加快提升能力的同时，同步加强了我们的安全保障措施。

We’re taking a deliberate approach to rollout and are actively engaged in the U.S. government’s voluntary process for pre-release model testing. 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. 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.

我们正采取审慎的推广策略，并积极参与美国政府的预发布模型测试自愿流程。从本周开始，我们将向部分网络防御者开放 Carbon，并通过我们的 Fairwind 计划逐步向更多受信任的合作伙伴开放访问权限。我们将继续收集反馈并迭代安全护栏，以便尽快通过我们的产品界面向开发者、企业和消费者提供 Carbon。

Gemini 4 Carbon will launch at the same introductory price 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.

Gemini 4 Carbon 的发布将采用与 Argon 相同的入门价格，即每百万输入 token 2 美元，每百万输出 token 10 美元，缓存的输入 token 可享受输入 token 价格 95% 的折扣。

Designed to take on much harder, long-horizon engineering problems, Carbon is built for sustained agentic workflows. Internally, our teams have seen Carbon run for days to persist through dead ends to tackle complex, multi-step engineering tasks like root-causing and patching subtle bugs across large codebases and low-level systems.

Carbon 专为应对更艰巨的长周期工程问题而设计，旨在支持持续的智能体工作流。在内部，我们的团队观察到 Carbon 可以连续运行数天，在遇到死胡同时依然能够坚持，从而解决复杂的、多步骤的工程任务，例如在大型代码库和底层系统中进行根本原因分析并修复细微的漏洞。

Building on user feedback, we focused on improving model performance across a variety of domains, including coding, agentic, and scientific tasks, as well as full-stack web development and multimodal understanding. With improved quality of output and artifacts in web development, Carbon jumps +89 elo points to land at #4 (1768) on WebDev Arena.

基于用户反馈，我们专注于提升模型在多个领域的性能，包括编码、智能体和科学任务，以及全栈 Web 开发和多模态理解。凭借在 Web 开发中输出质量和工件的提升，Carbon 在 WebDev Arena 上的 Elo 分数跃升了 89 点，位列第四（1768 分）。

Gemini 4 Carbon delivers a significant leap in cybersecurity capabilities. It achieves state-of-the-art performance across the cybersecurity defense lifecycle — vulnerability detection, validation, and remediation.

Gemini 4 Carbon 在网络安全能力方面实现了重大飞跃。它在整个网络安全防御生命周期——漏洞检测、验证和修复——中均达到了最先进的性能水平。

Our teams are already seeing strong gains in cyberdefense. On internal benchmarks, Carbon achieves more than 2x uplift in success rate for generating secure code over Argon. As another example, the Chrome team has reported that Carbon performed more than 10X better than another lab’s large frontier model when generating high quality patches. Wiz, our leading Cloud security platform, also observes Carbon leading on benchmarks for web penetration testing, a core capability for Wiz’s Scan for Good initiative.

我们的团队已经看到了网络防御方面的显著收益。在内部基准测试中，Carbon 在生成安全代码方面的成功率比 Argon 提高了两倍以上。另一个例子是，Chrome 团队报告称，在生成高质量补丁时，Carbon 的表现比另一家实验室的大型前沿模型好 10 倍以上。我们领先的云安全平台 Wiz 也观察到，Carbon 在 Web 渗透测试基准测试中处于领先地位，这是 Wiz“Scan for Good”计划的核心能力。

Carbon excels across key external benchmarks (evaluated without guardrails):

Carbon 在关键外部基准测试中表现优异（在无护栏评估下）：

Gemini 4 Carbon builds on the same multi-layered safety and security stack of Argon — combining model training, real-time misuse defenses, prompt-injection resilience, and chain-of-thought monitoring. 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. With Carbon, we challenged ourselves to go a step further on alignment, and trained the model to respond to complex or high-pressure tasks in the right way.

Gemini 4 Carbon 构建在与 Argon 相同的多层安全与防护架构之上，结合了模型训练、实时滥用防御、提示词注入防御和思维链监控。特别是在 Argon 上，我们在模型对齐方面取得了重大进展，并在我们的安全与防护报告中报告了其表现出对齐行为的倾向。对于 Carbon，我们挑战自己，在对齐方面更进一步，并训练模型以正确的方式响应复杂或高压任务。

Pushing the frontier forward requires moving fast while remaining deliberate about deployment. With Gemini 4 Carbon, our goal is to deliver meaningful leaps in software engineering and cybersecurity defense without compromising on safety or reliability. We’re eager to see how the initial cohort of cyber defenders use this model and we look forward to bringing Carbon to developers, businesses, and consumers soon.

推动前沿发展需要快速行动，同时在部署方面保持审慎。通过 Gemini 4 Carbon，我们的目标是在不牺牲安全性和可靠性的前提下，在软件工程和网络安全防御方面实现有意义的飞跃。我们迫切希望看到首批网络防御者如何使用该模型，并期待尽快将 Carbon 带给开发者、企业和消费者。

After the introductory period expires, the price of $4 per 1M input tokens and $20 per 1M output tokens will apply.

入门期结束后，将适用每百万输入 token 4 美元和每百万输出 token 20 美元的价格。