# forms.app vs Replicate AI

forms.app 记录了 987,157 月访问量，月度环比增长为 -11.2%，定价为免费增值，付费。Replicate AI 记录了 904,038 月访问量，增长率为 -8.4%，定价为付费。

| 指标 | [forms.app](https://openaitools.app/zh/tool/forms-app) | [Replicate AI](https://openaitools.app/zh/tool/replicate-ai) |
| :--- | :--- | :--- |
| 官网地址 | https://forms.app | https://replicate.com |
| 分类 | AI 表单, AI 测验生成器, AI 测验 | AI API, AI Models, AI Developer Tools, Open Source AI Models |
| 定价模式 | 免费增值，付费 | 付费 |
| 月访问量 | 987,157 | 904,038 |
| 月度环比增长率 | -11.2% | -8.4% |
| 主要市场 | 巴西 | 美国 |
| 直接访问量 | 595,531 | 577,501 |
| 评价得分 | 4.2 | 4.6 |
| 收藏数 | 3 | 5 |
| 支持平台 | 网站 | 网站 |

## forms.app

forms.app 的核心承诺很简单：不受限制地收集数据，且几乎没有学习门槛。编辑器采用拖拽方式，团队中任何人都能在几分钟内搭出申请表、预约表、报名页或客户满意度问卷，并可从 5000+ 预置模板中选取现成结构。

除了普通表单，平台还覆盖问卷、测验、投票和考试，并在多个环节加入 AI 辅助。你可以描述所需表单让 AI 直接生成，请 AI 换一种更自然的问法，或自动生成单选题选项。回复进来后，实时提交跟踪、智能筛选和 AI 洞察帮助你解读数据，而不是仅仅导出。

团队与自动化同样重要：免费版即提供不限量的回复、浏览和成员数，另有 500+ 集成与 Webhook，可将提交推送到 Google Sheets、CRM 或内部系统。安全方面符合 GDPR、ISO/IEC 27001、PCI DSS 与 OWASP 要求，因此被定位为适合欧洲及受监管行业的方案。

**定价与套餐:** 采用免费增值模式，永久免费版包含不限量回复、浏览量及团队成员。付费版解锁高级品牌定制、文件上传、电子签名、PDF 生成和更大存储；企业版需联系销售。具体价格请查看官方定价页。

- **拖拽式表单构建器:** 以可视化方式搭建表单、问卷、测验和投票，并可自定义主题与品牌域名。
- **AI 表单生成:** 描述需求即可让 AI 起草完整表单，还能改写问题文案并自动生成选项。
- **500+ 集成与 Webhook:** 自动把提交数据送入表格、CRM 或内部系统，无需手动复制。
- **5000+ 现成模板:** 涵盖申请、预约、反馈、人力资源、活动与互动测验等经审核模板。
- **回复分析与 AI 洞察:** 实时跟踪提交、筛选结果、分析流失环节，并获得 AI 生成的数据总结。

**优势:** 免费版即提供不限量回复、浏览和团队成员; AI 覆盖全流程：整表生成、问题改写、选项生成与回复洞察; 模板库庞大，集成生态丰富; 合规能力强，包含 GDPR 与 ISO/IEC 27001

**局限:** 电子签名、自定义 PDF 生成等高级功能需付费; 模板数量极多，初次浏览需要一些时间; 深度品牌定制有一定学习成本

[工具详情（Markdown）](https://openaitools.app/zh/tool/forms-app.md)

## Replicate AI

Replicate is a cloud API for running, fine-tuning, and deploying machine learning models. Spin up open-source and hosted models — from image, video, and audio generation to speech synthesis, captioning, and LLM inference — with one line of code, or package your own model with Cog and put it behind a production-ready API.

**定价与套餐:** Paid, usage-based — you only pay for what you use. Most public models are billed by runtime at per-second hardware rates; some models are billed per input and output (for example, $0.04 per output image on Flux 1.1 Pro, $3.75 per million input tokens on DeepSeek R1). Published GPU hardware ranges from about $0.81/hr for a T4 up to roughly $43.92/hr for 8x H100. Private deployments bill for setup, idle, and active time on dedicated hardware, and you can start for free. Enterprise and volume discounts available.

- **Thousands of models behind one API:** Run image, video, audio, speech, and language models through a uniform API surface, with official models for FLUX, Nano Banana, Seedream, Grok Imagine, MiniMax, Wan, Seedance, and more.
- **One-line-of-code inference:** Set up a model in minutes and make an API call in Python, Node, or plain HTTP after authenticating with an API token.
- **Cog packaging and custom deployments:** Package your own model with Cog, an open-source tool for packaging machine learning models, and deploy it on dedicated hardware that scales up and down with demand.
- **Model fine-tuning:** Fine-tune models on your own data, including fast-booting fine-tunes that are billed only while actively processing requests rather than for idle time.
- **Published hardware and inference rates:** Transparent per-second hardware rates across CPU, T4, L40S, A100, H100, and H200 configurations, with committed-spend options for multi-GPU capacity.

**优势:** Very broad model catalog spanning image, video, audio, speech, and LLMs behind one consistent API; Usage-based billing with openly published per-second hardware and per-output model rates; Cog makes it straightforward to package and deploy your own private models; Automatic scaling handles traffic spikes without manual capacity planning

**局限:** Costs are consumption-based and can rise quickly with heavy traffic or always-on private deployments; Private models bill for idle and setup time, not just request processing, unless they are fast-booting fine-tunes; Long-running GPU models can queue on shared public capacity during peak periods; It is an infrastructure layer, so you still need your own prompts, pipelines, and application code

[工具详情（Markdown）](https://openaitools.app/zh/tool/replicate-ai.md)

## 常见问题

### forms.app 和 Replicate AI 在月流量上如何比较？

forms.app 有 987,157 月访问量，而 Replicate AI 有 904,038。流量估算描述的是受众规模，而非产品质量。

### 它们的增长率如何比较？

forms.app 的月度环比增长率为 -11.2%；Replicate AI 为 -8.4%。

### 价格如何比较？

forms.app: 免费增值，付费。采用免费增值模式，永久免费版包含不限量回复、浏览量及团队成员。付费版解锁高级品牌定制、文件上传、电子签名、PDF 生成和更大存储；企业版需联系销售。具体价格请查看官方定价页。 Replicate AI: 付费。Paid, usage-based — you only pay for what you use. Most public models are billed by runtime at per-second hardware rates; some models are billed per input and output (for example, $0.04 per output image on Flux 1.1 Pro, $3.75 per million input tokens on DeepSeek R1). Published GPU hardware ranges from about $0.81/hr for a T4 up to roughly $43.92/hr for 8x H100. Private deployments bill for setup, idle, and active time on dedicated hardware, and you can start for free. Enterprise and volume discounts available.

## 替代工具

| # | 工具名称 | 月访问量 | 月度环比增长率 | 定价模式 | 简介 | 工具详情（Markdown） |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [OpenRouter](https://openaitools.app/zh/tool/openrouter-ai) | 19,941,437 | -6.2% | 付费 | 擅长跨多个提供商路由文本和多模态提示词，但缺乏 Replicate 专属的自定义 ML 部署功能。 | [.md](https://openaitools.app/zh/tool/openrouter-ai.md) |
| 2 | [Fillout](https://openaitools.app/zh/tool/fillout-com) | 3,923,917 | -9.7% | 免费增值 | 提供高级的无代码表单自定义和强大的数据库集成功能，不过 AI 自动生成功能略少一些。 | [.md](https://openaitools.app/zh/tool/fillout-com.md) |
| 3 | [fal.ai](https://openaitools.app/zh/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | 图片和视频模型的无服务器执行速度更快，但相比 Replicate，通用自定义模型部署能力稍弱。 | [.md](https://openaitools.app/zh/tool/fal-ai.md) |
| 4 | [Together AI](https://openaitools.app/zh/tool/together-ai) | 1,645,930 | +64.9% | 免费增值，付费 | 更专注于 LLM 推理和微调，但缺乏 Replicate 那样由社区策划的多样化媒体模型目录。 | [.md](https://openaitools.app/zh/tool/together-ai.md) |
| 5 | [Unsloth AI](https://openaitools.app/zh/tool/unsloth-ai) | 887,457 | -17.6% | 免费 | Specializes specifically in ultra-efficient model fine-tuning, rather than providing a general-purpose model hosting API. | [.md](https://openaitools.app/zh/tool/unsloth-ai.md) |
| 6 | [Atlas Cloud](https://openaitools.app/zh/tool/atlas-cloud) | 777,031 | -16.4% | 付费 | Offers a broad mix of generative media models via API, but lacks Replicate's massive community deployment ecosystem. | [.md](https://openaitools.app/zh/tool/atlas-cloud.md) |
| 7 | [Fireworks](https://openaitools.app/zh/tool/fireworks-ai) | 659,687 | +6% | 定价请咨询 | 为开源模型提供极快的推理速度，但模型选择比 Replicate 窄。 | [.md](https://openaitools.app/zh/tool/fireworks-ai.md) |
| 8 | [DeepInfra](https://openaitools.app/zh/tool/deep-infra) | 457,810 | -8.9% | 付费 | 运行开源权重模型的定价显著更便宜，但提供的先进自定义训练和部署功能较少。 | [.md](https://openaitools.app/zh/tool/deep-infra.md) |
| 9 | [Pollinations](https://openaitools.app/zh/tool/pollinations) | 316,875 | +22.8% | 免费 | 面向生成式 AI 开发者的开放基础设施与统一 API | [.md](https://openaitools.app/zh/tool/pollinations.md) |
| 10 | [BlockSurvey](https://openaitools.app/zh/tool/block-survey) | 302,480 | -14.9% | 免费增值，付费 | 极度重视端到端加密与隐私，牺牲了部分设计便利性来换取高安全性的数据收集。 | [.md](https://openaitools.app/zh/tool/block-survey.md) |

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来源：https://openaitools.app/zh/compare/forms-app-vs-replicate-ai

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