Google Introduces Gemini 3.7 Flash for Coding and Agent Workflows

Google Introduces Gemini 3.7 Flash for Coding and Agent Workflows Google has announced Gemini 3.7 Flash, an updated workhorse AI model focused on software engineering, web development, and agentic workflows, featuring benchmark improvements and a reduced introductory price compared to Gemini 3.6 Flash. Gemini 3.7 Flash launched three weeks after version 3.6 Flash, offering half the original per-token cost at an introductory rate of $0.75 per million input tokens and $3.75 per million output tokens through the end of the year. The model shows significant performance gains in coding benchmarks, reaching 43.6% on FrontierCode 1.1 Main and 65.3% on DeepSWE v1.1, alongside an Elo score of 1588 on WebDev Arena. Scores increased on knowledge-dense benchmarks, rising to 34.0% on GDP.pdf and 30.4% on AutomationBench. The model now powers Gemini Spark for Google AI Pro and Ultra subscribers and includes updated safeguards against CBRN and cyber offense misuse. Performance and Benchmark Improvements Gemini 3.7 Flash demonstrates enhanced capabilities in software engineering and web development, achieving improved first-pass code accuracy, debugging, and UI generation from reference inputs. The model outscored Gemini 3.6 Flash on coding metrics such as FrontierCode 1.1 Main (43.6% versus 34.4%) and DeepSWE v1.1 (65.3% versus 49.0%), and attained a 1588 Elo score on Arena.ai's WebDev Arena. For complex document and workflow processing, it scored 34.0% on the GDP.pdf benchmark and 30.4% on AutomationBench. Developer Experience and Pricing The release emphasizes multi-step planning, tool calls, and instruction following to reduce retries and manual oversight in engineering tasks. Google introduced 3.7 Flash at half the original cost per million tokens of 3.6 Flash, offering promotional pricing through the end of the year at $0.75 per million input tokens and $3.75 per million output tokens. Integrations, Availability, and Safety Starting at launch, Gemini 3.7 Flash powers Gemini Spark, the 24/7 personal agent available to Google AI Pro and Ultra subscribers in over 160 countries, boosting tool use across Google Workspace applications. The model is accessible to developers via Google AI Studio, Android Studio, and Google Antigravity, and to enterprises via the Gemini Enterprise Agent Platform. It also ships with updated Frontier Safety safeguards addressing misuse in cyber offense and Chemical, Biological, Radiological, and Nuclear (CBRN) domains.

Google发布Gemini 3.7 Flash：编码与智能体能力提升，价格降半 Google推出Gemini 3.7 Flash主力模型，重点优化编码、智能体工作流与知识任务，相比3.6 Flash实现大幅性能提升，同时提供半价优惠并集成至Gemini Spark。 在代码基准FrontierCode 1.1（43.6%对比34.4%）和DeepSWE v1.1（65.3%对比49.0%）中显著超越3.6 Flash。 年内首发价格降为3.6 Flash原价的一半，即每百万输入token收费0.75美元、输出3.75美元。 Google AI Pro与Ultra订阅用户的24/7个人智能体Gemini Spark即日起采用3.7 Flash驱动。 更新了防范化生放核（CBRN）及网络攻击滥用的前沿安全防护措施。 复杂工作流性能与基准表现 Gemini 3.7 Flash在调试、首次生成代码准确率和生产级代码生成上大幅提升，WebDev Arena评分达到1588分，UI设计复刻度更高。面对金融、法律与生物科学等知识密集型领域，其在GDP.pdf复杂文档基准（34.0%对比22.0%）与AutomationBench真实业务流程测试（30.4%对比17.0%）中均取得明显进步。 开发者体验优化与定价策略 新模型在多步规划和工具调用上表现更严谨，能更好地克服阻塞并提升指令遵循度，从而减少人工介入与重试。截至今年年底，3.7 Flash提供促销价格：输入每百万token 0.75美元，输出每百万token 3.75美元，以低成本协助开发者规模化部署生产级智能体。 产品应用集成与安全防范 在160多个国家和地区面向Google AI Pro与Ultra订阅用户推出的Gemini Spark智能体已切换至3.7 Flash，协同Google Workspace处理整理文件、起草邮件与更新状态文档等复杂任务。安全方面，该模型更新了针对化生放核（CBRN）和网络反制滥用的防护机制，并已开放通过Google AI Studio、Android Studio及企业平台接入。

Aug 13, 2026 | Our most intelligent workhorse model yet for coding and agents. Your browser does not support the audio element. Listen to article [[duration]] minutes This content is generated by Google AI. Generative AI is experimental Today, we’re building on the progress of our widely used Flash series by introducing Gemini 3.7 Flash, our most intelligent workhorse model yet for coding and agents. This release comes just three weeks after Gemini 3.6 Flash , and is a direct result of developer feedback and algorithmic innovations that we look forward to bringing to future models. 3.7 Flash delivers substantial improvements across software engineering, knowledge work, and web development workflows — with an introductory price of half the original 3.6 Flash cost per million tokens. Better intelligence for complex workflows 3.7 Flash shows strong gains over 3.6 Flash in coding tasks like debugging and issue resolution. It also achieves higher first-pass code accuracy and has improved performance in generating production-ready code as seen in FrontierCode 1.1 Main (43.6% vs 34.4%) and DeepSWE v1.1 (65.3% vs 49.0%). In web development, 3.7 Flash generates more functional layouts and feature-complete apps in fewer prompts. For UI generation, the model shows high design adherence and parity based on a reference input, whether it’s a screenshot, an image, or a full design system. It outperforms 3.6 Flash on Arena.ai’s WebDev Arena with an Elo score of 1588 vs 1538. For knowledge-dense fields like finance, law, and biosciences, 3.7 Flash delivers improved reasoning and accuracy. It significantly outperforms 3.6 Flash on the GDP.pdf benchmark (34.0% vs 22.0%), an eval for testing a model’s ability to process complex documents. It also surpasses 3.6 Flash in AutomationBench , demonstrating it can more effectively complete real-world business workflows (30.4% vs 17.0%). Better developer experience and price Gemini 3.7 Flash delivers a noticeably improved developer experience over 3.6 Flash. It better adapts to roadblocks, clarifies intent when needed, and follows instructions with greater fidelity. It thinks more diligently, putting in more effort into multi-step planning and tool calls. A more disciplined execution means less manual oversight and fewer retries across engineering workflows. 3.7 Flash is available through the end of the year at an introductory price 1 of $0.75/1M input tokens and $3.75/1M output tokens. This price combined with the enhanced model performance enables developers and customers to scale production-ready agents cost effectively. Early customer feedback is highlighting 3.7 Flash’s performance and precision, achieving results that are significantly better than 3.6 Flash at a low cost. Improving Gemini Spark with 3.7 Flash Gemini Spark, available to Google AI Pro and Ultra subscribers in over 160 countries , will be using Gemini 3.7 Flash starting today. We launched Spark at I/O as your personal AI agent that runs 24/7, taking action on your behalf while under your direction. This model update makes Spark more efficient for knowledge work with improved tool use for Google Workspace apps, delivering improved accuracy and output quality for complex, multi-skill workflows. With 3.7 Flash, Gemini Spark can turn ideas into action more efficiently by consolidating files, drafting emails, and updating status documents. Built with safety in mind We continually work to improve the coverage and robustness of Frontier Safety safeguards . Gemini 3.7 Flash is shipping with updated safeguards against misuse in the domains of Chemical, Biological, Radiological, and Nuclear (CBRN) and cyber offense, while enabling beneficial use cases, in accordance with our approach to bioresilience and our cyber program . For more information, see the 3.7 Flash model card . Try it today Developers : Explore agent-first workflows in Google Antigravity or start building today in the Gemini API via Google AI Studio and Android Studio . Get started with our developer guide . Enterprises : Access 3.7 Flash in Gemini Enterprise Agent Platform and the Gemini Enterprise app. Individuals : Available via Spark, your 24/7 personal agent in the Gemini app for Google AI Pro and Ultra subscribers in supported countries . Detailed benchmarks 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.