Google DeepMind Releases Gemini 3.8 Flash and 3.8 Flash Cyber

Google DeepMind Releases Gemini 3.8 Flash and 3.8 Flash Cyber Google DeepMind has introduced Gemini 3.8 Flash and Gemini 3.8 Flash Cyber, offering upgraded reasoning, autonomous software engineering, and defensive cybersecurity capabilities at the same pricing and speed tier as Gemini 3.7 Flash. Gemini 3.8 Flash is priced at $0.75 per million input tokens and $3.75 per million output tokens, matching 3.7 Flash while delivering higher multi-step reasoning and coding performance. Gemini 3.8 Flash achieved a 54.9% score on HLE-Verified and outperformed larger frontier models on the DeepSWE v1.1 benchmark. Gemini 3.8 Flash Cyber focuses on defensive cybersecurity, reaching over 70% vulnerability discovery across 20 languages on internal benchmarks and a 47.2% pass@1 on CWE-Bench for automated patching. Access to the Cyber variant is restricted to vetted defenders through the new Fairwind Program, while standard 3.8 Flash is available across developer APIs, enterprise services, and consumer apps. Gemini 3.8 Flash Capabilities and Trade-offs Gemini 3.8 Flash improves on 3.7 Flash across software engineering, agentic workflows, and specialized domain tasks, outperforming baseline models on benchmarks like DeepSWE v1.1, Vals Finance Agent V2, and Harvey's Legal Agent Benchmark. These gains stem from iterative tool calling and deeper multi-step reasoning, which can consume more tokens at higher effort settings. Developers prioritizing token overhead or compute limits can adjust effort levels downward or continue using Gemini 3.7 Flash. Gemini 3.8 Flash Cyber Benchmarks and Defenses Designed specifically for defense over exploitation, Gemini 3.8 Flash Cyber focuses on vulnerability discovery and automated patching. In CyberGym and internal testing across 20 programming languages, it achieved vulnerability discovery success rates exceeding 70%. On CWE-Bench, the model achieved a 47.2% pass@1 rate for patching. Internal deployments at Google showed Chrome Security producing 2.6 times more correct patches than larger models, Wiz reporting higher recall at reduced cost, and Google Cloud discovering a critical foundational vulnerability in under two hours. Safety Mitigations and Deployment Under the Frontier Safety Framework, Gemini 3.8 Flash contains safeguards against CBRN risks and cyber offensive actions, alongside improved prompt injection robustness evaluated by Gray Swan. Due to more permissive cyber mitigations, Gemini 3.8 Flash Cyber is restricted to trusted defenders, government authorities, and critical infrastructure operators via the Fairwind Program. Standard Gemini 3.8 Flash is available in Google AI Studio, Android Studio, Gemini Enterprise, and consumer subscriptions.

Google DeepMind推出Gemini 3.8 Flash与专为网络安全打造的3.8 Flash Cyber Google DeepMind发布新一代Gemini 3.8模型，推出通用型Gemini 3.8 Flash和专为网络安全防御设计的Gemini 3.8 Flash Cyber两个变体，保持低成本与高速度的同时大幅提升推理与编码能力。 Gemini 3.8 Flash定价与3.7 Flash一致（百万输入token为0.75美元，百万输出token为3.75美元），在软件工程与智能体多步骤推理方面提升显著。 Gemini 3.8 Flash在HLE-Verified基准测试中获得54.9%成绩，并在Vals Finance Agent V2及Harvey's Legal Agent Benchmark等专业领域评测中超越前代及更大模型。 Gemini 3.8 Flash Cyber专注于漏洞发现与自动修补，在包含20种编程语言的内部基准中漏洞发现成功率超70%，并在CWE-Bench达到47.2%的pass@1成绩。 3.8 Flash Cyber通过Fairwind计划向受信任的防御者开放；Chrome安全团队反馈其修复Chrome漏洞的正确补丁数量是大型商用模型的2.6倍。 Gemini 3.8 Flash性能与成本 Gemini 3.8 Flash延续了3.7 Flash的定价标准，每百万输入和输出token价格分别为0.75美元与3.75美元。在DeepSWE v1.1测试中，该模型以较低成本在端到端复杂工程解决能力上优于大部分更大型的前沿模型。此外，模型在HLE-Verified测试中取得54.9%的成绩，并在金融和法律领域的智能体基准中超越了3.7 Flash等模型。性能提升归功于其更严格的多步推理和迭代工具调用，开发者亦可通过调整努力级别降低token开销。 Gemini 3.8 Flash Cyber专业安全能力 Gemini 3.8 Flash Cyber在CyberGym漏洞挖掘基准中超越了3.5 Flash Cyber与体量更大的前沿模型，在覆盖20种编程语言的内部基准测试中，漏洞发现成功率超过70%。在自动修补方面，模型在CWE-Bench基准测试中实现47.2%的pass@1，接近领先前沿模型的47.8%。实际应用中，Chrome安全团队使用该模型产出的正确补丁数量达到更大型商业模型的2.6倍，Google Cloud漏洞研究团队用其在不到2小时内发现了一项通常需数月排查的关键底层漏洞。 安全防护与访问渠道 Gemini 3.8遵循Frontier Safety Framework，内置针对CBRN及网络攻击滥用的防护措施，并显著提升了抵抗Prompt注入攻击的鲁棒性。针对具备更宽松网络安全防护配置的3.8 Flash Cyber，官方仅通过Fairwind计划向可信防御者开放。普通开发者即日起可在Google AI Studio、Android Studio等平台调用3.8 Flash，企业和消费者则分别通过Gemini Enterprise及Google AI Pro/Ultra订阅进行体验。

Sep 02, 2026 | 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 and 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 .