# forms.app vs Replicate AI

forms.app 每月有 987,157 次造訪，月增率 -11.2%，定價模式為免費增值、付費。Replicate AI 每月有 904,038 次造訪，成長率 -8.4%，定價模式為付費。

| 指標 | [forms.app](https://openaitools.app/tw/tool/forms-app) | [Replicate AI](https://openaitools.app/tw/tool/replicate-ai) |
| :--- | :--- | :--- |
| 網站網址 | https://forms.app | https://replicate.com |
| 分類 | AI 表單, AI 測驗生成器, AI 測驗 | AI API, AI 模型, AI 開發者工具, 開源 AI 模型 |
| 定價模式 | 免費增值、付費 | 付費 |
| 每月造訪次數 | 987,157 | 904,038 |
| 月成長率 | -11.2% | -8.4% |
| 主要市場 | 巴西 | 美國 |
| 直接造訪 | 595,531 | 577,501 |
| 評論分數 | 4.2 | 4.6 |
| 收藏數 | 3 | 5 |
| 支援平台 | 網站 | 網站 |

## forms.app

forms.app 的核心承諾很簡單：不受限制地收集資料，而且幾乎沒有學習門檻。編輯器採拖放方式，團隊中任何人都能在幾分鐘內組出申請表、預約表、報名頁或顧客滿意度問卷，並可從 5000+ 預設範本中挑選現成結構。

除了普通表單，平台還涵蓋問卷、測驗、投票與考試，並在多個環節加入 AI 輔助。你可以描述所需表單讓 AI 直接生成，請 AI 換一種更自然的問法，或自動產生選擇題選項。回覆進來後，即時提交追蹤、智慧篩選與 AI 洞察協助你解讀資料，而不只是匯出。

團隊與自動化同樣重要：免費版即提供不限量的回覆、瀏覽與成員數，另有 500+ 整合與 Webhook，可將提交推送到 Google Sheets、CRM 或內部系統。安全方面符合 GDPR、ISO/IEC 27001、PCI DSS 與 OWASP 要求，因此被定位為適合歐洲及受監管產業的方案。

**價格與方案:** 採免費增值模式，永久免費版包含不限量回覆、瀏覽量與團隊成員。付費版解鎖進階品牌客製、檔案上傳、電子簽章、PDF 產生與更大儲存空間；企業版需聯繫銷售。實際價格請見官方定價頁。

- **拖放式表單建置器:** 以視覺化方式建立表單、問卷、測驗與投票，並可自訂主題與品牌網域。
- **AI 表單生成:** 描述需求即可讓 AI 草擬完整表單，還能改寫問題文案並自動產生選項。
- **500+ 整合與 Webhook:** 自動把提交資料送入試算表、CRM 或內部系統，無需手動複製。
- **5000+ 現成範本:** 涵蓋申請、預約、回饋、人力資源、活動與互動測驗等經審核範本。
- **回覆分析與 AI 洞察:** 即時追蹤提交、篩選結果、分析流失環節，並取得 AI 產生的資料摘要。

**優勢:** 免費版即提供不限量回覆、瀏覽與團隊成員; AI 覆蓋全流程：整表生成、問題改寫、選項生成與回覆洞察; 範本庫龐大，整合生態豐富; 合規能力強，包含 GDPR 與 ISO/IEC 27001

**限制:** 電子簽章、自訂 PDF 產生等進階功能需付費; 範本數量極多，初次瀏覽需要一些時間; 深度品牌客製有一定學習成本

[Profile (Markdown)](https://openaitools.app/tw/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.

**價格與方案:** 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.

**優勢:** 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

**限制:** 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

[Profile (Markdown)](https://openaitools.app/tw/tool/replicate-ai.md)

## 常見問題

### forms.app 與 Replicate AI 的每月流量相比如何？

forms.app 每月有 987,157 次造訪，而 Replicate AI 有 904,038。流量估算反映受眾規模，並非產品品質。

### 兩者的成長率相比如何？

forms.app 的月增率為 -11.2%；Replicate AI 為 -8.4%。

### 價格相比如何？

forms.app：免費增值、付費。採免費增值模式，永久免費版包含不限量回覆、瀏覽量與團隊成員。付費版解鎖進階品牌客製、檔案上傳、電子簽章、PDF 產生與更大儲存空間；企業版需聯繫銷售。實際價格請見官方定價頁。 Replicate AI：付費。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.

## 替代方案

| # | 工具名稱 | 每月造訪次數 | 月成長率 | 定價模式 | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [OpenRouter](https://openaitools.app/tw/tool/openrouter-ai) | 19,941,437 | -6.2% | 付費 | 擅長跨各種供應商路由文字與多模態提示詞，但缺乏 Replicate 的專屬自訂 ML 部署。 | [.md](https://openaitools.app/tw/tool/openrouter-ai.md) |
| 2 | [Fillout](https://openaitools.app/tw/tool/fillout-com) | 3,923,917 | -9.7% | 免費增值 | 提供進階的無程式碼表單自訂與強大的資料庫整合功能，但 AI 自動生成稍少一些。 | [.md](https://openaitools.app/tw/tool/fillout-com.md) |
| 3 | [fal.ai](https://openaitools.app/tw/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | 影像與視訊模型的無伺服器執行速度更快，但自訂模型部署的通用性不如 Replicate。 | [.md](https://openaitools.app/tw/tool/fal-ai.md) |
| 4 | [Together AI](https://openaitools.app/tw/tool/together-ai) | 1,645,930 | +64.9% | 免費增值、付費 | 更著重於 LLM 推論與微調，但缺乏 Replicate 那種由社群策展的多樣化媒體模型目錄。 | [.md](https://openaitools.app/tw/tool/together-ai.md) |
| 5 | [Unsloth AI](https://openaitools.app/tw/tool/unsloth-ai) | 887,457 | -17.6% | 免費 | Specializes specifically in ultra-efficient model fine-tuning, rather than providing a general-purpose model hosting API. | [.md](https://openaitools.app/tw/tool/unsloth-ai.md) |
| 6 | [Atlas Cloud](https://openaitools.app/tw/tool/atlas-cloud) | 777,031 | -16.4% | 付費 | Offers a broad mix of generative media models via API, but lacks Replicate's massive community deployment ecosystem. | [.md](https://openaitools.app/tw/tool/atlas-cloud.md) |
| 7 | [Fireworks](https://openaitools.app/tw/tool/fireworks-ai) | 659,687 | +6% | 需聯絡報價 | 為開源模型提供極快的推論速度，但模型選擇比 Replicate 少。 | [.md](https://openaitools.app/tw/tool/fireworks-ai.md) |
| 8 | [DeepInfra](https://openaitools.app/tw/tool/deep-infra) | 457,810 | -8.9% | 付費 | 執行開源權重模型的價格便宜得多，但提供的進階自訂訓練與部署功能較少。 | [.md](https://openaitools.app/tw/tool/deep-infra.md) |
| 9 | [Pollinations](https://openaitools.app/tw/tool/pollinations) | 316,875 | +22.8% | 免費 | 面向生成式 AI 開發者的開放基礎設施與統一 API | [.md](https://openaitools.app/tw/tool/pollinations.md) |
| 10 | [BlockSurvey](https://openaitools.app/tw/tool/block-survey) | 302,480 | -14.9% | 免費增值、付費 | 極度重視端到端加密與隱私，犧牲了部分設計便利性來換取高安全性的資料收集。 | [.md](https://openaitools.app/tw/tool/block-survey.md) |

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來源：https://openaitools.app/tw/compare/forms-app-vs-replicate-ai

More Markdown: [分類](https://openaitools.app/tw/categories.md) · [流量排名](https://openaitools.app/tw/rankings.md) · [llms.txt](https://openaitools.app/tw/llms.txt)