2026年9月2日
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我们最新的Gemini模型为智能体工作流和网络安全带来下一代智能。
Raluca Ada Popa
Gemini安全负责人，Google DeepMind
基于三周前3.7 Flash的势头，并在仅六周内推出我们的第三个Flash版本，今天我们推出Gemini 3.8——这是我们迄今最优秀的推理与编码模型，同时保持与3.7相同的速度和低成本。Gemini 3.8引入两个变体：
- Gemini 3.8 Flash： 我们最智能的主力模型，在软件工程、智能体任务以及专业领域的关键多步推理方面，相比3.7 Flash有显著提升。它以与3.7 Flash相同的入门价格1提供，即每百万输入token $0.75，每百万输出token $3.75。
- Gemini 3.8 Flash Cyber： 我们最强大的网络安全模型，在漏洞检测和自动修补方面具备前沿性能，通过我们新的Fairwind计划向受信任的防御者提供。
虽然针对不同的部署环境进行了定制，但今天的两个版本都由相同的基础智能驱动，并通过旨在递归评估和优化底层模型的长期运行智能体循环进一步加速。这一共享核心在编码和推理方面的显著提升源于多项创新，包括在高度严苛的网络安全领域中的严格训练。
Gemini 3.8 Flash：为长周期编码和自主智能体而构建
Gemini 3.8 Flash相比3.7 Flash带来显著提升，通常接近更高成本前沿模型的性能。
在DeepSWE v1.1（长周期软件工程）上，3.8 Flash在端到端自主解决复杂工程问题方面优于大多数更大的前沿模型，而成本仅为其一小部分。
此外，3.8 Flash在专业知识领域展现出关键企业自主性所需的可靠性。在需要高级分析和报告的量化和专业领域，3.8 Flash在Vals Finance Agent V2和Harvey's Legal Agent Benchmark等基准测试中优于3.7 Flash及其他前沿模型。3.8 Flash在HLE-Verified上还达到54.9%，展示了其在STEM、人文学科和专业领域处理多步推理的能力。
这些性能提升源于一个核心设计选择：3.8 Flash更努力地工作。在复杂任务上，它表现出更高的勤勉度——执行额外的推理步骤，并迭代调用工具。有时，模型可能会使用更多token以最大化性能，尤其是在更高努力水平下。
对于计算效率是主要约束的应用，开发者可以利用较低的努力水平来最小化token开销，或继续依赖Gemini 3.7 Flash，后者在效率优先的工作负载中仍得到全面支持。
Gemini 3.8 Flash Cyber：专家级网络性能
Gemini 3.8 Flash Cyber通过Fairwind计划向一组受信任的防御者提供，在当今复杂的网络安全环境中提供决定性优势，并具备Flash的速度和成本，支持快速迭代。
自主漏洞发现
在行业标准的漏洞发现基准CyberGym上，Gemini 3.8 Flash Cyber在自主漏洞发现方面展现出前沿级性能。它超越了3.5 Flash Cyber以及显著更大的前沿模型。
为了更好地捕捉现实世界的防御需求（这些需求不仅限于CyberGym中的C/C++代码库），我们还针对一个全面的内部基准评估了Gemini 3.8 Flash Cyber，该模型需在跨越20种编程语言的复杂代码库中发现各种漏洞。在此，该模型相比我们之前的模型展现出显著飞跃，成功率超过70%。
自动修补
借助Gemini 3.8 Flash Cyber，我们特别专注于为防御者配备专家级能力，使其在对抗攻击者时占据优势。这就是为什么我们从一开始就投资于漏洞修复，并将其优先于利用等攻击性能力。
CWE-Bench由Collinear运营，是一个具有挑战性的外部修补能力基准。在此基准上，Gemini 3.8 Flash Cyber处于帕累托前沿：pass@1为47.2%，而领先的前沿模型为47.8%，但成本显著更低。
现实世界影响：保护Google的代码
我们已经在使用Gemini 3.8 Flash Cyber来保护Google内部的代码。例如：
- Chrome安全团队发现，3.8 Flash Cyber 生成的针对Chrome漏洞的正确补丁数量是那些体积大得多的最佳商业模型的2.6倍。
- Wiz发现，Gemini 3.8 Flash Cyber 在其内部渗透测试基准上实现了+7.5-9.7%的更高召回率，同时成本比其他领先前沿模型低2.3-5.2倍。
- 谷歌云漏洞研究团队利用3.8 Flash Cyber模型在不到2小时内发现了一个关键的基础性漏洞，而此类漏洞的研究和发现通常需要数月时间。
我们的Fairwind计划合作伙伴的评价
以安全为先的设计
3.8 Flash内置了针对化学、生物、放射性和核（CBRN）及网络攻击领域滥用的防护措施，同时根据我们的前沿安全框架支持有益的使用场景。3.8 Flash Cyber配备了更为宽松的网络安全缓解措施，因此仅向需要更全面网络能力且值得信赖的防御者开放。
Gemini 3.8模型在提示注入鲁棒性方面也取得了显著进步（根据Gray Swan的测量），保护Gemini模型用户免受与提示注入相关的恶意攻击。
Gemini 3.8 Flash和Cyber：立即开始使用
- 开发者：使用3.8 Flash进行构建，并在Google Antigravity中探索智能体优先的工作流程，或通过Google AI Studio和Android Studio在Gemini API中立即开始构建，或在Stitch中生成UI。从我们的开发者文档开始。
- 企业：在Gemini Enterprise中访问3.8 Flash。
- 消费者：3.8 Flash可供Google AI Pro和Ultra订阅用户在Gemini应用、Google搜索中的AI模式以及Google Sheets中的Gemini中使用。
- Cyber：通过我们新的Fairwind计划，我们为受信任的政府机构、关键基础设施运营商和软件维护者提供Gemini 3.8 Flash Cyber的优先访问权限。申请访问。
Sep 02, 2026
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Our newest Gemini models deliver next-generation intelligence for agentic workflows and cybersecurity.
Raluca Ada Popa
Gemini Security Lead, Google DeepMind
Building on the momentum of 3.7 Flash from three weeks ago and marking our third Flash release in only six weeks, today we’re introducing Gemini 3.8, our best reasoning & coding model yet, at the same speed and low cost of 3.7. Gemini 3.8 introduces 2 variants:
- Gemini 3.8 Flash: our most intelligent workhorse model, delivering significant improvements from 3.7 Flash across software engineering, agentic tasks, and critical, multi-step reasoning in specialized domains. It is available at the same introductory price 1 as 3.7 Flash at $0.75 per million input tokens and $3.75 per million output tokens.
- Gemini 3.8 Flash Cyber: our most capable cybersecurity model with frontier-level performance in vulnerability detection and automated patching, available to trusted defenders through our new Fairwind Program.
While tailored for different deployment environments, both of today's releases are powered by the same foundational intelligence, and further accelerated by long-running agentic loops designed to recursively evaluate and refine the underlying models. The significant coding and reasoning gains across this shared core were driven by a number of innovations, including rigorous training in the highly demanding domain of cybersecurity.
Gemini 3.8 Flash: built for long-horizon coding and autonomous agents
Gemini 3.8 Flash delivers substantial gains from 3.7 Flash, often approaching the performance of higher-cost frontier models.
On DeepSWE v1.1 (Long-Horizon Software Engineering) 3.8 Flash outperforms most larger frontier models in autonomously solving complex engineering problems end to end, only at a fraction of the cost.
Additionally, 3.8 Flash exhibits the dependability required for critical enterprise autonomy, across specialized knowledge domains**.** In quantitative and professional fields that require advanced analysis and reporting, 3.8 Flash outperforms 3.7 Flash and other frontier models in benchmarks like Vals Finance Agent V2 and Harvey's Legal Agent Benchmark. 3.8 Flash also achieves a 54.9% on HLE-Verified, demonstrating its ability to handle multi-step reasoning across STEM, humanities, and professional fields.
These performance gains stem from a core design choice: 3.8 Flash works harder. On complex tasks, it exhibits greater diligence — executing extra reasoning steps, and calling tools iteratively. At times, the model might use more tokens to maximize performance, especially at higher effort levels.
For applications where compute efficiency is the primary constraint, developers can utilize lower effort levels to minimize token overhead or continue to rely on Gemini 3.7 Flash, which remains fully supported for efficiency-first workloads.
Gemini 3.8 Flash Cyber: expert cyber performance
Gemini 3.8 Flash Cyber, available to a set of trusted defenders via the Fairwind Program, provides a decisive advantage in today’s complex cybersecurity landscape, with the Flash speed and cost that enables quick iteration.
Autonomous vulnerability discovery
On the standard industry benchmark for finding vulnerabilities, CyberGym, Gemini 3.8 Flash Cyber demonstrates frontier-level performance in autonomous vulnerability discovery. It surpasses both 3.5 Flash Cyber as well as significantly larger frontier models.
To better capture real-world defensive needs which are not limited to just C/C++ codebases like in CyberGym, we also evaluated Gemini 3.8 Flash Cyber against a comprehensive internal benchmark in which the model has to discover a wide range of vulnerabilities across complex codebases spanning 20 programming languages. Here, the model showcases an impressive leap over our previous models and reaches a success rate exceeding 70%.
Automated patching
With Gemini 3.8 Flash Cyber, we focused specifically on equipping defenders with expert capabilities that give them an advantage over attackers. This is why we have invested in vulnerability fixing from the start, and prioritized it over offensive capabilities like exploitation.
CWE-Bench, run by Collinear, is a challenging external benchmark for patching capabilities. On this benchmark, Gemini 3.8 Flash Cyber is on the Pareto frontier: with a pass@1 of 47.2% compared to a leading frontier model at 47.8%, yet offered at a significantly lower cost.
Real-world impact: securing Google’s code
We’re already using Gemini 3.8 Flash Cyber to secure code across Google. For example:
- The Chrome Security team found that 3.8 Flash Cyber produced 2.6 times more correct patches to vulnerabilities in Chrome than the best commercial models that are much larger.
- Wiz found that Gemini 3.8 Flash Cyber achieves +7.5-9.7% higher recall on their internal penetration testing benchmark for a 2.3-5.2x lower cost compared to other leading frontier models.
- Google’s Cloud Vulnerability Research team leveraged the 3.8 Flash Cyber model to find a critical foundational vulnerability in less than 2 hours, a vulnerability for which research and discovery usually takes months.
What our Fairwind Program partners are saying
Built with safety in mind
3.8 Flash ships with safeguards against misuse in the domains of Chemical, Biological, Radiological, and Nuclear (CBRN) and cyber offense, while enabling beneficial use cases, as per our Frontier Safety Framework. 3.8 Flash Cyber ships with a more permissive set of mitigations for cybersecurity, and as such, is only available to trusted defenders who require a more comprehensive set of cyber capabilities.
Gemini 3.8 models have also made a significant leap in prompt injection robustness as measured by Gray Swan, protecting Gemini model users from prompt-injection related malicious attacks.
Gemini 3.8 Flash and Cyber: get started today
- Developers: Build with 3.8 Flash and explore agent-first workflows in Google Antigravity or start building today in the Gemini API via Google AI Studio and Android Studio, or generate UIs in Stitch. Get started with our developer docs.
- Enterprises: Access 3.8 Flash in Gemini Enterprise.
- Consumers: 3.8 Flash is available to Google AI Pro and Ultra subscribers across the Gemini app, AI Mode in Google Search and Gemini in Google Sheets.
- Cyber: Through our new Fairwind Program, we’re providing trusted government authorities, as well as critical infrastructure operators and software maintainers with prioritized access to Gemini 3.8 Flash Cyber. Apply for access.
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