Gemini 4 碳：我们的下一个前沿模型
今天我们宣布下一个前沿模型：Gemini 4 Carbon
在最近更新的人工分析智能指数v 5.0中，碳排行第1位为59. 显示在编码和代理任务以及网络安全防御的关键能力方面取得显著进展，在SEC-bench Pro(88.2%)中发现弱点、开发Gym(54.8%)和CWE-bench(71.0%)进行补丁。 在内部的基准测试上，Carbon在生成安全代码方面驱动了强大的提升，在与我们自己的团队的活编码环境中，显示降低了错配率和制造率。
以两星期前的Gemini 4 Argon为基础，我们的研究人员和模型正在携手合作，以更快地提高能力，同时同时加强我们的保障。
我们正采取慎重的推出方法，并积极参与美国政府的自愿进行出厂前型号测试。 从本周开始，我们将向一些网络维权者提供Carbon，并将通过我们的Fairwind方案逐步逐步接触更多的信任伙伴。 我们继续收集反馈，并在护栏上传播，然后尽快通过产品表面向开发商、企业和消费者提供碳。
Gemini 4 Carbon会以与Argon相同的入门价格1以每百万个输入令牌2美元和每百万个输出令牌10美元的价格进行发布，而缓存的输入令牌则以95%的输入令牌价格进行出价。
改进具有挑战性的长期任务编码和推理
碳设计是为了承担更难，更远的工程问题，而碳是为持续的代理工作流程而建造的。 在内部，我们的团队已经看到"碳"运行了好几天，持续地穿过死胡同，解决复杂的，多步骤的工程任务，如打根和补丁微妙的bug 跨越大代码库和低级别系统。
在用户反馈的基础上，我们注重改进各种领域的模型性能，包括编码、代理和科学任务，以及全网开发和多模式理解。 随着网络开发中输出和文物的质量得到提高，"碳"跳出+89 elo指向了WebDev Arena上第4 (1769)个地。
最先进网络安全性能帮助构建安全系统
Gemini 4 Carbon在网络安全能力上实现了重大飞跃。 它实现了最先进在网络安全防御生命周期中的性能——脆弱性检测，验证和补救。
我们的团队已经看到网络防御的强大进展。 在内部的基准测试上，Carbon在Argon上空生成安全代码的成功率上实现了2x以上的提升。 另一个例子是Chrome团队报告说，Carbon在生成高品质补丁时，比另一个实验室的大型前沿模型更好的表现超过10X. Wiz，我们领先的Cloud安全平台，也观测到Carbon在基准测试上领先进行网络穿透测试，这是Wiz"Scan for Good"倡议的核心能力。
跨越关键外部基准测试(在没有护栏的情况下评估)的碳：
- 寻找真正的弱点：网络安全防御的核心是寻找真正的弱点。 碳在SEC-bench Pro上实现了最先进 88.2%，自主地发现了埋藏在现实世界软件中的复杂缺陷。
- 通过剥削验证风险：为了优先确定哪些弱点可以首先得到补救或补救，网络维权者越来越多地依靠模型来检查哪些弱点是可以利用的。 碳在受欢迎开发上设置了新的最先进基准测试 ExpectGym (54.8%).
- 补充根源：最终在查明脆弱性后，确定根源是网络安全防御生命周期中的一个关键步骤。 碳在Collinear的CWE-bench上达到71.0%，将验证的发现直接转化为工作代码修正。
二。 推进边境示范安全和安保
Gemini 4 Carbon基于相同的多层次安全保障堆积的Argon——结合了模型训练，实时滥用防御，即时注射韧性，和思维链监测。 尤其是，我们在与Argon进行模式调整方面取得了长足进展，并在我们的安全和安保报告中报告了其以一致方式行事的倾向。 与Carbon一起，我们挑战自己在对接上再进一步，并训练模型以正确的方式应对复杂或高压的任务。
- 减少捷径和漏洞开发：通过Carbon，我们进一步减轻了在培训方面的捷径尝试，同时确保高质量的编码性能。 碳将终端4.0%至0.0 %的成功出轨率降低到0.4%，同时提高整体准确度。 在与我们内部团队的直播编码环境中，我们观察到高分错位警报下降了近80%.
- 提高透明度和诚实度：在我们的内部测试中，Carbon 削减没有支持的声称在Argon上空约2x. 它直接向交付品提出方法上的警告，或扣压被封锁的行动，明确列出仍然需要什么，而不是围绕缺失的证据捏造或套取。
- 面对含糊不清的问题，改善与用户的合作：Carbon在采取行动之前，不应猜测或强迫前进，而应先向用户检索相关来源并显示差异，因此，用户应看到与Carbon更好的合作经验。
碳同时将超覆盖减少26%，服务不足减少29%，从而更可靠地执行多步骤计划，同时尊重项目限制和严格控制范围。
- 抵制提示词注入：Argon以前曾领导过灰天鹅的间接提示词注入(IPI)基准测试在提示词注入的抵抗力，攻击成功率很低为0.7%，而Carbon却达到了0.0 % – 抵制每一次评估的攻击尝试。
很快会来到开发商、企业和消费者那里
推进边境需要迅速前进，同时继续考虑部署。 有了Gemini 4 Carbon，我们的目标是在软件工程和网络安全防御方面实现有意义的飞跃而不损害安全或可靠性。 我们渴望看到最初的网络维权者如何使用这个模式
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Gemini 4 Carbon: our next frontier model
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 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.
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.
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.
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.
Improving coding and reasoning for challenging, long-horizon tasks
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.
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 (1769) on WebDev Arena.
State-of-the-art cybersecurity performance to help build secure systems
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.
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.
Carbon excels across key external benchmarks (evaluated without guardrails):
- Finding real vulnerabilities: Core to cybersecurity defense is finding real vulnerabilities. Carbon achieves a state-of-the-art 88.2% on SEC-bench Pro, autonomously uncovering complex flaws buried in real-world software.
- Validating risk through exploitation: To prioritize which vulnerabilities to remediate first or remediate at all, cyber defenders increasingly rely on models to check which vulnerabilities are exploitable. Carbon sets a new state-of-the-art on the popular exploitation benchmark ExploitGym (54.8%).
- Patching at the root cause: Ultimately after identifying the vulnerabilities, fixing the root cause is a critical step in the cybersecurity defense lifecycle. Carbon reaches 71.0% on Collinear’s CWE-bench, turning validated findings directly into working code fixes.
Advancing frontier model safety & security
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.
- Reducing shortcuts and loophole exploitation: With Carbon, we further mitigated shortcut attempts in training while ensuring high-quality coding performance. Carbon reduced successful cheating on Terminal-Bench 4.0 to 0.0%, with attempts to cheat dropping to 0.4% — all while improving overall accuracy. In live coding environments with our internal teams, we observed that high-severity misalignment alerts dropped by almost 80%.
- Greater transparency and honesty: In our internal testing, Carbon cuts unsupported claims by approximately 2x over Argon. It puts methodological caveats directly into the deliverable or withholds blocked actions with a clear list of what remains required, rather than fabricating or hedging around missing evidence.
- Improved collaboration with the user in the face of ambiguity: Rather than guessing or forcing a path forward, Carbon retrieves the relevant sources and surfaces discrepancies to the user before acting — as a result, users should observe a much better collaborative experience with Carbon.
- Following through without overstepping: Carbon simultaneously reduced overreach by 26% and under-service by 29% resulting in much more reliable execution of multi-step plans end-to-end while respecting project constraints and staying strictly within scope.
- Resisting prompt injection: While Argon previously led the Gray Swan’s Indirect Prompt Injection (IPI) Benchmark in prompt injection resistance with a very low 0.7% attack success rate, Carbon achieves 0.0% — resisting every evaluated attack attempt.
Coming soon to developers, businesses, and consumers
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.
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