分阶段推出发送 Google 的 Gemini 4 碳给网络捍卫者第一

AI 模型和平台

分阶段推出发送 Google 的 Gemini 4 碳给网络捍卫者第一

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在公告中，Koray Kavukcuoglu,Google DeepMind的SVP和Google的首席AI建筑师将Carbon定性为公司最强的模型，拥有最先进网络安全和长视能力。 Carbon继承了Gemini 4 Argon，而Google 发布是在"Carbon"宣布前两周。 Google 称新模式说明了它推进前沿同时加强保障的步伐。

Google 称正在采取审慎的部署方式，并积极参与美国政府的自愿程序，进行释放前模型测试。 从宣布的一周开始，公司将向一子网络维权者提供Carbon，然后通过它的Fairwind Program逐步逐步接触更多的被信任的伙伴。 Google 称正在继续收集反馈，并在护栏上进行移动，然后通过产品表面向开发者、企业和消费者提供模型，并补充说它打算尽快这样做。

长线编码和基准测试将军

Google 称 Carbon是针对更硬，更长的视野工程问题而设计的，并且是为持续的代理工作流程而建造的，内部团队已经看到模型运行了好几天并坚持了通过死端来完成复杂多步骤的任务，例如跨越大型代码库和低等系统的打根和补丁微妙的bug.

Google表示，Carbon在最近更新的人工分析情报指数5.0中排名第一，得分为59分。 该公司报告称，Carbon在WebDev Arena上以1768分的得分获得了89 elo的分数，达到第4名，并列举了网页开发产出和文物质量的提高。 Google 称的改进重点是编码、代理和科学任务，以及基于用户反馈的全网开发和多模式理解。

网络安全防御性能

Google报告最先进在脆弱性检测、验证和补救的网络安全防御生命周期中取得了结果，称的外部评价没有护栏。 关于SEC-bench Pro，它衡量现实世界软件中复杂缺陷的自主发现，Google报告为88.2%. 在勘探Gym上，一个基准测试用于验证所查明的弱点是否可以被利用，Google报告说，新的最先进得分为54.8%. Google报告为71.0%。

在内部的基准测试上，Google报告说Carbon在生成安全码在Argon上空的成功率上实现了2x以上的提升，其Chrome团队发现Carbon在生成高品质补丁方面比另一个实验室的大型前沿模型做得更好。 Google补充说，Wiz，它的云安全平台，观测到在基准测试上领先的Carbon进行网络穿透测试，这是Wiz扫描"好"倡议的核心能力。

安全与协调成果

碳基于用于Argon的多层安全防护堆，它结合了模型训练，实时滥用防御，即时注射应变能力，以及思维链监测，根据Google.

该公司报告称，Carbon将终端-Bench 4.0成功出轨率降至0.0 %，出轨尝试降至0.4%，而总体准确度提高，在与内部团队的直播编码环境中，高发错位警报下降了近80%. 在内部测试中，Google 称，Carbon 削减在Argon上空的大约2x不支持声称，直接将方法上的告诫放入可交付品中，并扣取了被封禁的行动，并明确列出仍然需要哪些内容，而不是围绕缺失的证据来编造或套取。 Google还报告说，在多步骤计划执行期间，超覆盖率减少26%，服务不足率减少29%，而称模型在任务模糊之前，会向用户检索相关来源并显示差异。 在Gray Swan的间接提示词注入基准测试上，Google报告在Argon之前以0.7%的成绩领导了基准测试之后，Carbon——抵制每一次评估的攻击尝试——的攻击成功率为0.0.

Fairwind 程序访问和定价

由Google DeepMind运营的"费尔温德计划"(Fairwind Program)，给予政府，医疗保健提供者，电信服务等高度优先的维权者早期获得先进模型的机会。 Google DeepMind称，它目前与全球650多个合作伙伴合作，一组程序合作伙伴获得Gemini 4 Argon的独家访问权，与CodeMender使用，其专用代码安全性agent用于软件自动修正。

方案准入有具体的条件。 合作伙伴只能执行允许的双重用途任务，包括授权的威胁模拟、逆向工程和恶意软件分析，以进行防御和学术研究；不允许制造恶意软件等恶意任务。 参与组织必须应用用户级认证和耐网信多因子认证，限制模型访问内部网络安全，事件应对，或穿透测试团队，并跟踪员工访问和使用。 合作伙伴不得分享、再分配或出售对模型的访问，Google DeepMind对申请人进行背景调查，以核实安全历史和道德操作记录。 该方案将政府和国家网络当局、关键基础设施运营商置于保健、电信、能源和金融网络以及核心技术平台的优先地位。

碳发布以与Argon相同的入门价格：每百万个输入令牌为2元，每百万个输出令牌为10元，而缓存的输入令牌以95%的价格从输入令牌出价。 公告中的一则脚注指出，入门期结束后，定价为每百万个输入信使4美元，每百万个产出信使20美元。

Google 称渴望看到最初的网络维权者如何使用这个模式

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AI Models & Platforms

Staged Rollout Sends Google’s Gemini 4 Carbon To Cyber Defenders First

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Google announced Gemini 4 Carbon on October 28, 2026, describing it as the company’s strongest frontier model, and said it will reach users through a staged rollout that begins with a subset of cyber defenders rather than a broad release.

In the announcement, Koray Kavukcuoglu, SVP of Google DeepMind and Chief AI Architect at Google, characterized Carbon as the company’s strongest model, with state-of-the-art cybersecurity and long-horizon capabilities. Carbon succeeds Gemini 4 Argon, which Google launched two weeks before the Carbon announcement. Google said the new model illustrates the pace at which it is pushing the frontier forward while strengthening its safeguards in tandem.

Google said it is taking a deliberate approach to deployment and is actively engaged in the U.S. government’s voluntary process for pre-release model testing. Starting the week of the announcement, the company will make Carbon available to a subset of cyber defenders, then gradually phase access to additional trusted partners through its Fairwind Program. Google said it is continuing to gather feedback and iterate on guardrails before making the model available to developers, businesses, and consumers through its product surfaces, adding that it intends to do so as soon as possible.

Long-Horizon Coding and General Benchmarks

Google said Carbon is designed for harder, long-horizon engineering problems and built for sustained agentic workflows, and that internal teams have seen the model run for days and persist through dead ends on complex, multi-step tasks such as root-causing and patching subtle bugs across large codebases and low-level systems.

According to Google, Carbon ranks first on the recently updated version 5.0 of the Artificial Analysis Intelligence Index with a score of 59. The company reported that Carbon gained 89 elo points to reach fourth place with a score of 1768 on WebDev Arena, citing improved quality of web development output and artifacts. Google said it focused its improvements on coding, agentic, and scientific tasks, as well as full-stack web development and multimodal understanding, building on user feedback.

Cybersecurity Defense Performance

Google reported state-of-the-art results across the cybersecurity defense lifecycle of vulnerability detection, validation, and remediation, and said the external evaluations were run without guardrails. On SEC-bench Pro, which measures the autonomous discovery of complex flaws in real-world software, Google reported 88.2%. On ExploitGym, a benchmark used to validate whether identified vulnerabilities are exploitable, Google reported a new state-of-the-art score of 54.8%. On Collinear’s CWE-bench, which tests patching vulnerabilities at the root cause, Google reported 71.0%.

On internal benchmarks, Google reported that Carbon achieves more than 2x uplift in success rate for generating secure code over Argon, and that its Chrome team found Carbon performed more than 10X better than another lab’s large frontier model at generating high-quality patches. Google added that Wiz, its cloud security platform, observes Carbon leading on benchmarks for web penetration testing, a core capability for Wiz’s Scan for Good initiative.

Safety and Alignment Results

Carbon builds on the multi-layered safety and security stack used for Argon, which combines model training, real-time misuse defenses, prompt-injection resilience, and chain-of-thought monitoring, according to Google.

The company reported that Carbon reduced successful cheating on Terminal-Bench 4.0 to 0.0%, with cheating attempts falling to 0.4% while overall accuracy improved, and that high-severity misalignment alerts dropped by almost 80% in live coding environments with internal teams. In internal testing, Google said, Carbon cuts unsupported claims by approximately 2x over Argon, places methodological caveats directly into deliverables, and withholds blocked actions with a clear list of what remains required rather than fabricating or hedging around missing evidence. Google also reported reductions of 26% in overreach and 29% in under-service during multi-step plan execution, and said the model retrieves relevant sources and surfaces discrepancies to the user before acting when tasks are ambiguous. On Gray Swan’s Indirect Prompt Injection Benchmark, Google reported a 0.0% attack success rate for Carbon — resisting every evaluated attack attempt — after Argon previously led the benchmark at 0.7%.

Fairwind Program Access and Pricing

The Fairwind Program, run by Google DeepMind, gives high-priority defenders such as governments, healthcare providers, and telecommunications services early access to advanced models. Google DeepMind states that it currently works with more than 650 partners globally, and that a set of program partners receives exclusive access to Gemini 4 Argon for use with CodeMender, its specialized code security agent for automating software fixes.

Program access carries specific conditions. Partners may carry out only permitted dual-use tasks, including authorized threat simulation, reverse engineering, and malware analysis for defensive and academic research purposes; malicious tasks such as creating malware are not permitted. Participating organizations must apply user-level authentication and phishing-resistant multi-factor authentication, limit model access to internal cybersecurity, incident response, or penetration testing teams, and track employee access and use. Partners may not share, redistribute, or sell access to the models, and Google DeepMind conducts background checks on applicants to verify security history and a record of ethical operations. The program prioritizes governments and national cyber authorities, critical infrastructure operators across healthcare, telecommunications, energy, and financial networks, and core technology platforms.

Carbon launches at the same introductory price as Argon: $2 per million input tokens and $10 per million output tokens, with cached input tokens priced at 95% off the input token price. A footnote in the announcement states that after the introductory period expires, pricing will be $4 per million input tokens and $20 per million output tokens.

Google said it is eager to see how the initial cohort of cyber defenders uses the model and looks forward to bringing Carbon to developers, businesses, and consumers soon.

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