完整代码所有权
随时导出你的代码或同步到 GitHub。你构建的一切都归你所有。
Gemini 3.7 Flash
Use Gemini 3.7 Flash for fast multimodal coding and agents. Review its intro pricing, 1M context, model ID, tools, strengths, and limits.
无需信用卡几秒内部署完整代码所有权
受到来自以下地区客户的信赖
Gemini 3.7 Flash 是什么？
Gemini 3.7 Flash is Google's stable multimodal reasoning model for coding and agents. The official model ID is gemini-3.7-flash. Google documents a 1,048,576-token input limit, 65,536-token output limit, text, image, video, audio, and PDF input, plus function calling, structured outputs, code execution, file search, and search grounding. Introductory pricing is $0.75 per million input tokens and $3.75 per million output tokens through December 31, 2026.
| Fact | Current value |
|---|---|
| Provider | |
| Stable model ID | gemini-3.7-flash |
| Input / output limit | 1,048,576 / 65,536 tokens |
| Input modalities | Text, image, video, audio, and PDF |
| Output | Text |
| Intro API price | $0.75/1M input; $3.75/1M output through Dec. 31, 2026 |
| Thinking levels | Low, medium, and high |
| Best fit | Multimodal coding, agents, search-grounded and high-volume workflows |
| Main limitation | Promotional pricing expires; Computer Use remains preview |
| Verified | August 23, 2026 |
Official sources: Gemini 3.7 Flash model page, Gemini models, and Google model pricing.
Gemini 3.7 Flash is Google’s latest Gemini 3 Flash model for natively multimodal reasoning, coding, and agentic workflows. Google’s model documentation lists the stable model ID as gemini-3.7-flash and says the model supports text, image, video, audio, and PDF inputs with text output.
- 1,048,576-token input limit for long specifications, documents, code context, and media-rich tasks
- 65,536-token output limit
- Native multimodal input across text, images, video, audio, and PDF
- Thinking controls at low, medium, and high effort
- Function calling and structured outputs for applications and agents
- Code execution, file search, URL context, and search grounding
- Google Maps grounding and Computer Use in preview
- Batch, Flex, and Priority inference support
Google’s current API documentation marks Gemini 3.7 Flash as stable with an August 2026 update. Google lists introductory pricing of $0.75 per million input tokens and $3.75 per million output tokens through December 31, 2026; verify the current pricing page before using those promotional rates in a production forecast.
Gemini 3.7 Flash is a practical candidate for multimodal applications, coding agents, document and media analysis, search-grounded workflows, and high-volume tasks that need a large context window without flagship-tier pricing. Test tool reliability, output quality, and the exact Google API route for your workload before committing to a long-running agent.
代码生成
错误检测与修复
代码重构
代码解释
文档生成
单元测试编写
为什么选择 Atoms为什么在 Atoms 上使用 Gemini 3.7 Flash？
- Bring specifications and visual context together: include screenshots, documents, and product requirements in one build workflow.
- Build tool-connected products: use structured requirements and supported integrations to move from an idea to a working implementation.
- Review multimodal output: inspect the live result and refine layout, content, and behavior against the original brief.
- Compare models in one workspace: test a cost-sensitive Flash workflow against other available coding and reasoning models.
- Deploy the result: publish a working product after the relevant flows and edge cases are reviewed.
Atoms access, credits, and workspace behavior are separate from Google’s direct Gemini API pricing and limits. Check the current model selector when you start.
多智能体 AI 团队
产品经理、工程师和设计师协同合作，将你的提示转化为完整产品。
几分钟上线，而不是几个月
一次对话，即可从想法到部署产品。无需设置，无需配置。
完整代码所有权
可随时导出到 GitHub。所有内容都归你所有——无供应商锁定。
如何在 Atoms 上使用 Gemini 3.7 Flash
立即开始构建01
Provide the product goal, audience, required behavior, technical constraints, and any screenshots, documents, or reference material.
02
Ask Gemini 3.7 Flash to organize the requirements, data, tools, dependencies, and validation criteria before building.
03
Implement the product, inspect the rendered result, test important interactions, and refine the implementation with targeted prompts.
04
Check the final behavior on desktop and mobile, resolve remaining issues, and deploy when the acceptance criteria are met.
为什么在 Atoms 上使用 Gemini 3.7 Flash 进行构建
竞赛模式
并行生成多个设计变体并选出最佳方案。借助 AI 驱动的迭代更快交付。
一键部署
立即上线。Atoms 会处理托管、SSL 和服务器配置，让你专注于构建。
可扩展平台
自定义域名、分析、身份验证、数据库等——运行真实产品所需的一切。
你可以用 Gemini 3.7 Flash 构建什么
SaaS 仪表盘
构建一个具备用户身份验证、计费和实时分析功能的全栈 SaaS。
电子商务商店
创建一个包含购物车、结账和 Stripe 支付的产品目录。
内部工具
在几分钟内为你的团队交付管理面板、CRM 和工作流工具。
移动应用
构建具有原生体验 UI 和推送通知的跨平台移动应用。
查看我们的精选用例
团队已在 Atoms 上发布的真实应用和页面——选择一个作为起点。
Atoms 与从零开始构建对比
AtomsDIY / 从零开始
上线时间
分钟
数周到数月
所需技术技能
无
全栈开发
部署与托管
一键即可，已包含
需要手动设置
AI 模型访问
顶级 AI 模型，预先配置完成
API 密钥、SDK 和计费
持续维护
已为你处理
一切由你掌控
- 每天 15 个免费积分你的每日配额会自动补充——无需盯着标签页，也能持续迭代。
- 无需信用卡使用邮箱或 Google 可在几秒内注册——立即开始免费方案构建。
- 顶级 AI 模型，一个账户尽享随时在同一聊天中切换 Gemini 3.7 Flash 和其他前沿模型。
- 无需设置，无需基础设施你的 AI 团队负责规划、构建和预览——无需管理本地工具链或部署流水线。
- 可用于生产环境的部署每次构建都可部署到带有自定义域名、SSL 和版本历史记录的在线 URL。
常见问题
Start Building with Gemini 3.7 Flash
Use multimodal context, tools, and long-running workflows to turn a detailed brief into a working product.
在 Atoms 上探索更多 AI 模型
代码模型
图像模型
