⚡ 快速结论：
- 定价： Make starts at $9/month. Flowith starts at $17.91/month. Both have a free plan.
- 最适合： Make for app-to-app business 自动化. Flowith for AI research and content work on a canvas.
- 主要区别： Make moves data between 2,000+ apps. Flowith runs AI agents inside its own workspace.
- 我们的选择： Make for most people. It costs less and handles real 商业 workflows end to end.
Make vs Flowith both promise to automate tasks with AI.
但它们并非为同一用途而设计。
Make connects your favorite apps and moves data between them.
Flowith gives you an AI agent and an infinite canvas for thinking work.
Picking the wrong one wastes money and weeks of setup.
概述
我们查阅了这两款工具的文档、定价页面和用户评价。
我们的撰稿人也亲自体验了每一项功能。
这些笔记出现在下面的“我们的团队注意到”部分中。
We cover key features, pricing plans, ease of use, and who each tool suits.
Want to dig deeper? Each CTA box links to our full reviews.
什么是 Make？
Make is a no code automation platform.
It was called Integromat before its rebrand.
You build workflows by linking app modules on a visual canvas.
Each workflow is called a scenario.
It lets you automate workflows across various applications.
It handles everything from simple workflows to complex automation with branches and loops.
自由职业者 小型企业, and large enterprises all use it.
Here’s a quick video walkthrough of how Make works.
🏆 Winner: Make
Connect over 2,000 apps without writing code. Build branching scenarios on a visual canvas. Start free and upgrade only when you need more.
制定价格
Make uses an operations-based pricing model. Each step a scenario runs counts toward your monthly limit.
| 计划 | 价格 | 最适合 |
|---|---|---|
| 自由的 | 每月 0 美元 | Learning and testing basic features |
| 核 | 每月9美元 | Solo users with steady workflows |
| 专业版 | 每月16美元 | 需要高级功能的高级用户 |
| 团队 | 每月 29 美元 | Teams sharing scenarios |
| 企业 | 定制定价 | Large enterprises with 安全 需求 |
Pricing verified October 2026.
免费试用： No separate trial. The free plan works as a permanent trial, and no card is needed.
退款保证： No default refunds. Make reviews refund requests case by case.
📌 笔记： The prices above are for annual billing. Monthly billing costs $10.59 for Core, $18.82 for Pro, and $34.12 for Teams.
⚠️ 警告： Operations add up fast. Looping over 500 rows in Google Sheets can burn 500+ operations per run. Watch your usage dashboard to avoid surprise upgrades.
Key Benefits of Make
Here’s what makes Make worth a look:
- Extensive integration capabilities: Make links over 2,000 apps. You can chain as many apps as you like in a single scenario.
- Visual workflow builder: You see every step as a bubble on a canvas. That visual approach makes data flow easy to follow.
- Advanced logic tools: Iterators, aggregators, routers, and filters come built in. You get conditional logic without writing code.
- Custom API calls: Can’t find an app? The HTTP module sends http requests to almost any service.
- Cost effective plans: Most paid plans sit between $9 and $29. That’s cheaper than many automation platforms.
- Strong community: Make has deep documentation, tutorials, and an active forum. Help is easy to find when you’re stuck.
我们的团队注意到了什么
我们的 作家 signed up for Make and built scenarios for real content and lead tasks. Here’s what stood out from that hands-on time:
Make Pros & Cons
✅ 优点
- Connects over 2,000 apps in one platform
- Drag and drop interface shows every step visually
- Routers, filters, and error handling built in
- Paid plans start at just $9 per month
- HTTP module covers apps without a native connector
❌缺点
- Steep learning curve for advanced workflows
- Operations count can climb quickly on loops
- No refunds by default
Flowith是什么？
Flowith is an AI creation and workflow tool.
It swaps the usual chat window for an infinite canvas.
You can run many AI threads side by side on that canvas.
Its AI agent, Agent Neo, handles long multi-step jobs for you.
It also stores your notes as a searchable second brain.
Creators, researchers, and developers are its main audience.
Its whole 沥青 is better productivity through AI.
This video shows the Flowith canvas in action.
Runner Up: Flowith
Research, write, and create on one infinite canvas. Agent Neo runs long tasks for you. Try it with 1,000 free credits.
弗洛伊斯定价
Flowith charges in unified credits. One credit pool covers 文本, image, and video models.
| 计划 | 价格 | 最适合 |
|---|---|---|
| 起动机 | 每月 0 美元 | Trying basic models and Agent Neo |
| 专业版 | $17.91/month | Individual creators and students |
| 最终的 | $44.91/month | Heavy daily research and content generation |
| 无限 | $399.92/month | Studios and teams with huge credit needs |
Pricing verified October 2026.
免费试用： The forever-free Starter plan gives 1,000 one-time credits. It includes basic models, the Composer, and Agent Neo.
退款保证： We couldn’t confirm a standard refund window. Check the billing terms before you upgrade.
📌 笔记： Paid plans refresh credits every month. You can top up anytime if you run short.
⚠️ 警告： Unused credits expire at the end of each monthly cycle. They don’t roll over, so size your plan carefully.
Key Benefits of Flowith
Here’s where Flowith earns its place:
- Intuitive canvas: Ideas branch out visually instead of scrolling away. Big projects stay easy to navigate.
- 尼奥特工： This AI agent runs multi-step creative tasks. Flowith says it works without context limits.
- Oracle mode: It breaks a big job into subtasks. Then it pulls the right tools for each part.
- Many models, one place: You pick different AI models for different content tasks. No tab-switching between apps.
- 知识花园： Flowith stores and links your info automatically. You skip manual tagging and still find things later.
- Live collaboration: Team members can work on the same canvas at the same time.
我们的团队注意到了什么
Our writer signed up for Flowith and used it for research and draft outlines. Here’s what stood out from that hands-on time:
Flowith Pros & Cons
✅ 优点
- Infinite canvas keeps research threads organized
- Agent Neo handles long, multi-step jobs
- One credit pool for text, image, and video
- Real-time collaboration on shared canvases
❌缺点
- Some reviewers call it pricey for what it does
- Weak for scripting or 贸易 任务
- Unused credits expire each month
- Few direct app integrations
功能对比
Make is an automation tool. Flowith is an AI workspace. Below, we compare ten areas so you can see where each one fits.
| 特征 | 制作 | 弗洛伊斯 |
|---|---|---|
| 起价 | 每月9美元 | $17.91/month |
| 免费计划 | ✅ | ✅ (1,000 one-time credits) |
| 人工智能代理 | ✅ | ✅ Agent Neo |
| Visual Builder / Canvas | ✅ Scenario canvas | ✅ Infinite canvas |
| 2000 多个应用集成 | ✅ | ❌ |
| Custom API Calls (HTTP) | ✅ | ❌ |
| Image & Video Creation | ❌ (via third party services) | ✅ |
| 知识库 | ❌ | ✅知识花园 |
| 实时协作 | Teams plan | ✅ |
| 最适合 | Business workflows | AI research and content |
1. AI Agents
制作： Make AI Agents sit inside your scenarios. They decide which step to run next based on goals you set. Because they live in a workflow, they can act on real apps and data.
弗洛伊斯： Agent Neo is the star here. It’s built for limitless creative and research jobs that run across many steps. You give it a goal, and it keeps completing steps without hitting context limits.
2. Visual Builder and Interface
制作： The workflow builder is a drag-and-drop canvas of connected modules. You can watch data move through each bubble as a scenario runs. It’s clear, but it takes time to learn.
弗洛伊斯： Flowith calls its layout a smart framework for deep work. Each idea becomes a node you can branch from. The goal is fewer distractions and more time in a flow state.
3. Integrations and API Access
制作： This is Make’s home turf. It supports over 2,000 apps, from Google Sheets to CRMs and e-commerce stores. The HTTP module handles API integrations for any tool that offers one.
弗洛伊斯： Flowith connects AI models, not business apps. You won’t find triggers for Slack, Gmail, or Shopify here. Its strength stays inside its own canvas.
⚠️ 警告： If you need syncing data between apps in real time, Flowith can’t do that job. Make can.
4. Complex Logic and Error Handling
制作： Routers split paths. Filters stop bad data. Iterators and aggregators handle lists. Error handlers catch failures and show clear error messages. One broken step doesn’t kill the whole run.
弗洛伊斯： Oracle mode handles complexity in a different way. It splits a big request into subtasks and picks tools for each. You steer with prompts, not with if-then rules.
5. 内容生成
制作： Make doesn’t write content itself. It calls 人工智能应用 like OpenAI and then posts the output. 社交媒体 automation is a common use, such as drafting and scheduling posts.
弗洛伊斯： The Flowith Composer is built for writing. You can draft long pieces with several models in one view.
It also has an AI-powered photo editor for quick visuals.
https://fahimai.com/wp-content/uploads/2025/09/ai-powered-photo-editor-980×532.pngv
Video generation runs on the same credit pool.
6. Business Process Automation
制作： Make shines at repetitive tasks across departments. Lead capture, contract routing, and invoice processing are all common scenarios. Marketing, inventory, and customer support teams use it too.
Contract workflows can send, sign, and file documents without manual steps.
Invoice scenarios pull numbers from emails and push them into 会计 工具。
弗洛伊斯： Flowith isn’t built for back-office work. It can plan a process or write a report about it. But it won’t move a record from one system to another.
7. Knowledge and Research
制作： Make has no built-in note system. You can pipe research into 概念 or a database. But the storage and search happen in another tool.
弗洛伊斯： The Knowledge Garden turns your files into a searchable base. It links ideas without manual tagging. Some reports claim up to 40% faster task completion and 78% faster retrieval. Treat those numbers as claims, not guarantees.
8. Templates and Community
制作： The Templates Gallery gives you ready-made scenarios to copy. A large forum and tutorial library back it up. That makes creating automations easier 早期的 in your automation journey.
弗洛伊斯： Flowith has an Agent Community where people share agents. Its Knowledge Market lets creators trade knowledge bases.
Here’s a look at the Knowledge Market.
9. 易用性
制作： Simple tasks take minutes. But more complex workflows bring a steep learning curve around APIs and data mapping. Expect some trial and error before you build workflows with confidence.
弗洛伊斯： If you can type a prompt, you can 使用 Flowith. Reviewers praise how its interface supports deep work. The canvas does take a short adjustment if you’re used to chat apps.
💡 专业提示： New to Make? Copy a template first. Editing a working scenario teaches faster than starting from a blank canvas.
10. 定价与成本
| 层级 | 制作 | 弗洛伊斯 |
|---|---|---|
| 自由的 | Free: $0 per month | Starter: $0/month |
| 入口 | Core: $9 per month | Pro: $17.91/month |
| 中 | Pro: $16 per month | Ultimate: $44.91/month |
| Team / Top | Teams: $29 per month | Infinite: $399.92/month |
| 企业 | 定制定价 | ❌ |
制作： Make is the cheaper paid plan at every step. Its operations-based pricing has no hidden fees, but heavy loops raise your bill. It’s priced below Zapier for similar volume.
弗洛伊斯： Credits work across every model, which keeps things simple. The catch is expiry. Credits you don’t spend vanish at the end of each cycle.
不同场景
| 如果您需要…… | 选择 | 为什么 |
|---|---|---|
| 预算紧张 | 制作 | Paid plans start at $9 |
| Connect business apps | 制作 | 2,000+ integrations |
| AI research and writing | 弗洛伊斯 | Canvas plus Composer |
| Long 自主 AI jobs | 弗洛伊斯 | Agent Neo |
| Custom API calls | 制作 | HTTP module |
| Fast start for beginners | 弗洛伊斯 | Prompt-driven, no mapping |
💰 您的预算
Make’s paid plan costs about half of Flowith’s entry plan. If money is tight, Make gives more for less.
🔌 您的技术栈
Already run on Google Sheets, a 客户关系管理, and email? Make ties them together, while Flowith stays a separate workspace.
📝你的工作风格
Writers and researchers who think visually will feel at home in Flowith. Ops people who think in steps will prefer Make.
🎓您的经验水平
Flowith needs no coding expertise or setup. Make needs some patience, but you never have to touch code.
🆓 免费试用和演示
Both have a free plan, so test with a real task. Make’s free tier never ends, while Flowith’s credits are one-time.
🛟 支持选项
Make has a big forum, docs, and video guides. Flowith’s community is smaller and newer, so answers can take longer.
切换指南
已经在使用这些工具之一了吗？如果您切换到其他工具，以下是您可能遇到的情况。
🔄 Switching from Make to Flowith?
✅ 你将获得：
- An infinite canvas for research and 头脑风暴
- Built-in image and video creation
- A searchable knowledge base for your notes
❌ 你会失去什么：
- Triggers and actions across 2,000+ apps
- Routers, filters, and scheduled scenarios
- Custom HTTP and API connections
📋 如何切换：
- List which Make scenarios are content or research jobs
- Create a free Flowith account and test those jobs
- Keep Make running for anything that moves app data
🔄 Switching from Flowith to Make?
✅ 你将获得：
- Real automation between your business apps
- 更便宜的付费方案
- Detailed error handling and run history
❌ 你会失去什么：
- The visual research canvas
- Agent Neo’s long-running AI tasks
- Built-in image and video tools
📋 如何切换：
- Export your Flowith notes and outputs
- Sign up for Make’s free plan
- Rebuild repeat jobs from a template and connect your apps
我们的评测没有涵盖的内容
This comparison focused on solo users and small teams. We didn’t test Make’s Enterprise plan or Flowith’s $399.92 Infinite tier. We also didn’t build a mobile app with either tool. Searched “make app” hoping to build one? Try AI or no-code app 建筑商 instead. They suit beginners and fast prototypes.
最终判决
| 类别 | 优胜者 |
|---|---|
| 💰 定价 | 制作 |
| 🔌 集成 | 制作 |
| 🧠 Complex Logic | 制作 |
| 🤖人工智能代理 | 弗洛伊斯 |
| ✍️ 内容创作 | 弗洛伊斯 |
| 📚 模板和社区 | 制作 |
| 👶 易用性 | 弗洛伊斯 |
| 🏆 总冠军 | 制作 |
🏆 WINNER: MAKE
Make wins 4 out of 7 categories.
最适合： Business automation, app syncing, budget-conscious teams
Make is a powerful automation platform for moving work between apps. It costs less and gives you tight control over every step.
Flowith is a strong pick for research, writing, and AI-heavy creative work. Its canvas and Agent Neo do things Make simply wasn’t built for.
For most readers, the job is cutting manual work across tools. That’s why Make takes the win. Many people will happily use both.
More of Make Compared
Weighing both Zapier and Make? Start with the first card below.
赢得比赛： Lower prices for similar volume, branching routers, and finer control over data parsing.
Zapier 在以下方面胜出： A larger app library, a simpler linear setup, and a faster start for beginners.
Make vs n8n
赢得比赛： Fully hosted setup, friendlier for non-coders, and more ready-made app modules.
n8n 获胜： Self-hosting, custom code nodes, and source-available licensing.
赢得比赛： Deeper logic tools, a bigger app catalog, and built-in AI agents.
帕布利 Connect wins on: Lifetime-deal pricing, free internal steps, and lower long-term cost.
Make vs 口香糖环
赢得比赛： Wider app support, mature error handling, and cheaper entry plans.
Gumloop 赢得： AI-first nodes, built-in web scraping, and LLM steps without your own API key.
More of Flowith Compared
Here’s how Flowith compares with other AI workspaces:
Flowith vs Notion
Flowith wins on: Multi-model AI on a canvas, 自主 agent tasks, and auto-linked knowledge.
Notion 在以下方面胜出： Docs and databases, mature team wikis, and wider app connections.
Flowith vs MindStudio
Flowith wins on: Free-form research canvas, image and video creation, and a personal knowledge base.
MindStudio wins on: Building custom AI apps, sharing agents with clients, and structured agent workflows.
Flowith wins on: Visual thinking space, long-running Agent Neo jobs, and built-in note storage.
Gumloop 赢得： App integrations, scheduled automations, and web scraping nodes.
常见问题解答
Make.com 是用来做什么的？
It connects apps and automates workflows without code. Common uses include lead capture, invoices, and social posts. It also syncs records between Google Sheets and a CRM.
Make 比 Zapier 更好吗？
For complex logic and lower cost, yes. Zapier is simpler and has more apps. Unlike Zapier’s linear steps, Make supports branching paths and loops.
flowith.io 是免费的吗？
Yes, partly. The Starter plan is free forever with 1,000 one-time credits. It includes basic models, the Composer, and Agent Neo. Paid plans start at $17.91/month.
Flowith 可以与其他应用程序集成吗？
Only in a limited way. It connects many AI models inside one interface. For moving data between business apps, a tool like Make is the better fit.
哪种人工智能最适合自动化？
For app-to-app automation, Make offers the best value here. For research and content tasks run by an AI agent, Flowith is the stronger choice.
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