Google Introduces Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber for Scaled AI Agents

Google Introduces Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber for Scaled AI Agents Google has unveiled Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber, designed to boost token efficiency, speed, and reliability for AI agent workflows across software development, knowledge work, and cybersecurity. Gemini 3.6 Flash decreases output token consumption by 17% on the Artificial Analysis Index and costs $1.50 per 1M input tokens and $7.50 per 1M output tokens. Gemini 3.5 Flash-Lite produces 350 output tokens per second at $0.30 per 1M input tokens and $2.50 per 1M output tokens, outperforming 3.1 Flash-Lite across benchmarks. Gemini 3.5 Flash Cyber is integrated into the CodeMender security agent to identify and repair software vulnerabilities, restricted to governments and trusted partners in a pilot program. Gemini 3.5 Pro is currently in partner testing, while pre-training has begun for the next-generation Gemini 4. Gemini 3.6 Flash Capabilities and Safety Gemini 3.6 Flash delivers higher accuracy and requires fewer reasoning steps and tool calls than 3.5 Flash. It improves on benchmarks such as DeepSWE (49% vs. 37%), MLE Bench (63.9% vs. 49.7%), and OSWorld-Verified (83.0% vs. 78.4%), while incorporating computer use as a built-in client-side tool via the Gemini API and Gemini Enterprise. For safety, it adds enhanced protections against chemical, biological, radiological, and nuclear (CBRN) threats and cyber offense misuse, alongside safeguards to minimize unnecessary refusals. Gemini 3.5 Flash-Lite for High-Throughput Workflows Engineered for high-volume, low-latency tasks like search and document processing, Gemini 3.5 Flash-Lite offers configurable thinking levels for simple execution or complex subagent tasks. It demonstrates significant performance gains over 3.1 Flash-Lite on Terminal-Bench 2.1 (54% vs. 31%) and GDM-MRCR v2 (72.2% vs. 60.1%). It also surpasses Gemini 3 Flash on SWE-Bench Pro (54.2% vs. 49.6%) and OSWorld-Verified (74.0% vs. 65.1%). Gemini 3.5 Flash Cyber and Availability Fine-tuned to detect and patch security flaws, 3.5 Flash Cyber powers the multi-agent CodeMender system, which achieves competitive frontier performance on CyberGym. Due to dual-use security concerns, it is limited to vetted partners and governments. Meanwhile, 3.6 Flash and 3.5 Flash-Lite are available immediately through Google AI Studio, Android Studio, the Gemini API, Gemini Enterprise, and the Gemini consumer app, with 3.5 Flash-Lite also launching in Google Search.

谷歌推出 Gemini 3.6 Flash、3.5 Flash-Lite 与网络安全专用模型 3.5 Flash Cyber 谷歌发布了多款新型号 Gemini 模型，旨在提升构建 AI 智能体的效率、吞吐量并降低延迟。同时，Gemini 3.5 Pro 正处于测试中，团队也已启动 Gemini 4 的预训练。 Gemini 3.6 Flash 提升了代码与知识处理表现，输出 token 使用量减少 17%，输入与输出价格分别为每百万 token 1.50 美元和 7.50 美元。 Gemini 3.5 Flash-Lite 输出速度达每秒 350 个 token，输入与输出价格分别为每百万 token 0.3 美元和 2.5 美元，专为高吞吐量与低延迟智能体任务设计。 Gemini 3.5 Flash Cyber 结合 CodeMender 智能体专注于漏洞挖掘与修复，因双重用途特性将仅通过试点项目向政府和受信任伙伴提供。 Gemini 3.6 Flash 与 3.5 Flash-Lite 即日起向开发者、企业及普通用户开放，Gemini 4 预训练正在进行中。 Gemini 3.6 Flash：更高效率与更强性能 3.6 Flash 减少了推理步骤与工具调用，在 DeepSWE 测试中输出 token 使用减少多达 65%，编程精度达到 49%（前代为 37%）。在 OSWorld-Verified 评测中得分达 83.0%，并支持客户端“计算机使用”（Computer Use）内置工具。安全方面增强了 CBRN 及网络攻击防范，降低了被越狱的风险并减少有益请求的误拒。 Gemini 3.5 Flash-Lite：面向高吞吐量智能体工作流 3.5 Flash-Lite 是 3.5 系列中速度最快的模型，运行速度达 350 token/秒，支持在不同思考层级间灵活配置以平衡延迟与推理深度。其在 Terminal-Bench 2.1（54% 对 31%）和长上下文测试 GDM-MRCR v2（72.2% 对 60.1%）中大幅领先 3.1 Flash-Lite，甚至在 SWE-Bench Pro 等基准上超越了 3 Flash。 3.5 Flash Cyber 与未来路线图 基于 3.5 Flash 微调的 3.5 Flash Cyber 与 CodeMender 协同运行，在 CyberGym 基准测试中展现出前沿水平，用于规模化检测与修复代码安全问题。该模型将限制性开放。此外，Gemini 3.5 Pro 正与合作伙伴开展测试，下一代 Gemini 4 的预训练工作也已正式展开。

Jul 21, 2026 | Our newest Gemini models deliver the efficiency, latency, and reliability to build AI agents at scale. Developers and customers building production AI agents need higher token efficiency, lower latency, and more reliable performance. Our Flash series of models is built to meet the sweet spot of efficiency and quality to enable scaling agentic workflows. Building on Gemini 3.5 Flash, we’re introducing new Gemini models: 3.6 Flash: Our workhorse model that delivers better coding, knowledge work, and multimodal performance. According to the Artificial Analysis Index , it reduces output token usage by 17% compared to 3.5 Flash, and in some benchmarks like DeepSWE by Datacurve , we observe up to 65%, all at a lower cost per output token. 3.5 Flash-Lite: Our fastest, most cost-effective 3.5-class model, delivering 350 output tokens per second according to the Artificial Analysis Index, also significantly outperforming prior Flash-Lite generations in agentic workflows. 3.5 Flash Cyber in CodeMender: Successful cybersecurity applications require careful orchestration of a model alongside an agent infrastructure. We’re introducing a combination of a new, highly efficient, specialized cyber-focused model paired with our CodeMender code security agent that delivers competitive performance at the frontier. Beyond today’s releases, Gemini 3.5 Pro is currently testing with partners and we plan to make it broadly available as soon as it’s ready. In parallel, our team is already focusing on building the next generation of models. We have started our most ambitious pre-training run yet, for Gemini 4, and are excited by the progress. 3.6 Flash: More efficient and better quality than 3.5 Flash Gemini 3.6 Flash builds directly on developer and customer feedback from 3.5 Flash. 3.6 Flash not only delivers a step up in coding and knowledge work, but it does this while meaningfully improving token efficiency. For example, on the Artificial Analysis Index, we see 3.6 Flash consuming 17% fewer output tokens than 3.5 Flash. It also takes fewer reasoning steps and tool calls to accomplish multi-step workflows. This enhanced efficiency is also combined with a lower price than 3.5 Flash. At $1.50/1M input tokens and $7.50/1M output tokens, 3.6 Flash reduces the overall cost per agentic task, making agents more cost-effective to build and run. 3.6 Flash shows better token efficiency and reduced verbosity than 3.5 Flash in an OSWorld verified task (API) Even while being more efficient, 3.6 Flash sees performance gains compared to 3.5 Flash across use cases: 3.6 Flash delivers higher precision with fewer unwanted code edits and reduced execution loops, as seen in DeepSWE (49% vs. 37%), and shows significant improvement in ML Research, as seen in MLE Bench (63.9% vs. 49.7%). It has improved computer use capabilities as seen in OSWorld-Verified (83.0% vs. 78.4%). Computer use is now a built-in client side tool via the Gemini API and Gemini Enterprise. It outperforms 3.5 Flash in knowledge work, as shown by benchmarks like GDPval-AA v2 (1421 vs. 1349). Customers like Hebbia and Harvey have found it particularly capable at multimodal tasks like document parsing, chart and data analysis, and report drafting. Customers report 3.6 Flash is a step forward in both cost and quality, balancing token efficiency, accuracy, and speed across complex workflows and knowledge-based tasks: Built with safety 3.6 Flash is shipping with enhanced Frontier Safety safeguards in the domains of Chemical, Biological, Radiological, and Nuclear (CBRN) and cyber offense misuses. These safeguards make the model substantially more resistant to jailbreaks. At the same time, the model has been trained to minimize refusals for beneficial uses. For more information, see the 3.6 Flash model card. 3.5 Flash-Lite: Built to scale agentic workflows Beyond Flash, we’re also releasing Gemini 3.5 Flash-Lite, designed for both low-latency tasks and tasks where high throughput is critical for developers workflows, like agentic search and document processing. 3.5 Flash-Lite is the fastest model in the 3.5 series. As measured by Artificial Analysis , it runs at 350 output tokens/s. Priced at $0.3/1M input tokens and $2.5/1M output tokens and with significantly better quality than 3.1 Flash-Lite, 3.5 Flash-Lite offers a strong price-to-performance ratio for developers and customers running high throughput production traffic. 3.5 Flash-Lite executes high volume tasks at a lower latency than 3.5 Flash. 3.5 Flash-Lite enables efficient scaling for agentic systems. Across thinking levels, the model significantly outperforms 3.1 Flash-Lite. Depending on the workload, developers can configure the model to prioritize low-latency, low-cost execution for high-volume tasks with the minimal and low thinking levels, or engage higher thinking levels to process multi-step subagent workloads. The model now also has computer use as a built-in tool to reliably support these agentic tasks across surfaces. It’s a significant step up in coding and agentic tasks as seen in Terminal-Bench 2.1 (54% vs 31%), long context as seen in GDM-MRCR v2 (72.2% vs. 60.1%), and real-world task execution as seen in GDPval-AA v2 (1140 vs. 642). In fact, on many agentic and coding evals, 3.5 Flash-Lite even outperforms 3 Flash, including on SWE-Bench Pro (54.2% vs. 49.6%) and OSWorld-Verified (74.0% vs. 65.1%), making it a faster & more capable option for workloads on both 2.5 and 3 Flash. Early customers of 3.5 Flash-Lite are highlighting its unique combination of speed, intelligence, and cost efficiency for scaling agentic workflows and data processing tasks: For more information about the model, see the 3.5 Flash-Lite model card. 3.5 Flash Cyber in CodeMender: finding and fixing vulnerabilities efficiently AI models have become capable of finding security vulnerabilities faster than current systems can fix them. Tackling this growing threat requires an approach to securing software that is highly capable and efficient. Flash’s performance and efficiency makes it an ideal foundation to detect, validate, and patch code security issues at scale. Gemini 3.5 Flash Cyber is built on top of 3.5 Flash, and fine-tuned for finding and fixing cybersecurity vulnerabilities at a lower price per token than larger models. Within CodeMender, which uses multiple 3.5 Flash Cyber agents working together to produce a single combined report, 3.5 Flash Cyber reaches competitive performance at the frontier on the popular benchmark CyberGym. Given the dual-use nature of this technology, we have taken an intentional approach to deploying 3.5 Flash Cyber. The model will be exclusively available to governments and trusted partners via CodeMender soon as part of a limited-access pilot program. This will give frontline defenders a head start in finding and fixing critical vulnerabilities before they can be exploited, while mitigating against broader misuse. 3.6 Flash and 3.5 Flash-Lite: Get started today 3.6 Flash and 3.5 Flash-Lite are available starting today: For developers in the Gemini API via Google AI Studio and Android Studio . 3.6 Flash is also available in Google Antigravity . Get started with the Developer Guide . For enterprises in Gemini Enterprise Agent Platform . 3.6 Flash is also available in the Gemini Enterprise app . For everyone via the Gemini app . 3.5 Flash-Lite is also rolling out in Google Search. As you start building with 3.6 Flash and 3.5 Flash-Lite, we welcome your feedback to improve future Gemini models and look forward to releasing 3.5 Pro soon. Get the latest news from Google in your inbox Sign up for our newsletters with product updates, event information, special offers, and more. Your information will be used in accordance with Google's privacy policy. You may opt out at any time.