First Distinguish the Billing Logic: These Four Are Not the Same
| Tool | Billing unit | Meaning |
|---|---|---|
| Make | credits | One module action counts as one credit; a 5-step run is about 5 credits |
| Zapier | tasks | Each successful action step counts as 1 task; triggers do not count |
| n8n cloud | executions | One complete workflow run counts as 1 execution, regardless of step count |
| Power Automate | per user / per bot | Monthly license plus RPA bot licenses, detached from flow count |
This table decides your cost structure. Long multi-step workflows get expensive quickly in Zapier but fit n8n better. Lightweight but varied scenarios tend to fit Make’s credit model.
Make: Most Flexible Visual Builder, but You Need to Count Credits
| Item | Details |
|---|---|
| Free | 1,000 credits/month, 2 active scenarios, shortest interval 15 minutes, 5-minute limit per run |
| Starting price | Make Plan $9/month (annual, 5k credits) |
| 2026 AI | Official pricing lists AI Agents beta, MCP Server, AI Web Search beta, AI Toolkit, Code App |
| Strengths | Visual flow editor, branching and error handling, data transformation |
| Weaknesses | Credits are hard to estimate by feel; branching flows need real testing to measure credit usage |
Best for: individuals or teams doing operations, marketing, and mid-complexity cross-tool automation.
n8n: High Technical Flexibility, but Self-Hosting Is Not a Free Lunch
| Item | Details |
|---|---|
| Self-hosted | Software is free; you manage server / backup / patching |
| Cloud | Starter 20 EUR/month (annual, 2.5k executions, 5 concurrent); Pro 50 EUR/month (10k executions, 20 concurrent) |
| Latest stable | self-hosted 2.16.1 (2026-04-15) |
| 2026 progress | Release notes mention AI Gateway endpoint, AI Builder, and MCP Client Node improvements |
| Strengths | Execution billing is friendly to long flows, code steps can be added, self-hosting is possible |
| Weaknesses | With self-hosting, security, credentials, and log retention are all your responsibility |
Best for: technical teams, data privacy sensitivity, and full control over deployment environment.
Zapier: Fastest to Learn, but Watch Long Flows
| Item | Details |
|---|---|
| Free | 100 tasks/month, 2,500 table records, 10 interface pages, single user, 15-minute polling, two-step Zaps |
| Paid entry | Higher task quotas and multi-step Zaps (use official pricing for current numbers) |
| 2026 updates | Zap limits docs updated 2026-03-23; Lead Router promoted through 2026-04 |
| Strengths | Most intuitive interface, largest connector ecosystem, fastest onboarding |
| Weaknesses | Task-based billing means flows with many steps can blow up the budget quickly |
Best for: marketing, sales, and individuals / small teams with many short-chain scenarios.
Power Automate: The First Tool M365-Heavy Companies Should Check
| Item | Details |
|---|---|
| Free | 30-day trial |
| Main paid plans | Premium $15/user/month (annual), Process $150/bot/month (annual), Hosted Process $215/bot/month (annual) |
| Strengths | Deepest links with Outlook, Teams, Excel, SharePoint, Dataverse, and Copilot Studio |
| Weaknesses | Low cost-performance for companies outside the M365 system; premium connectors / RPA / process plans are priced separately |
Best for: enterprise IT where the company is already a heavy M365 user and has SharePoint / Dataverse processes to automate.
How to Choose: Estimate Three Things First
- Trigger frequency: every minute / every 15 minutes / once a day / event-driven. Make and Zapier free plans have a shortest interval of 15 minutes; five-minute-level flows require paid plans or self-hosting.
- Step count in a single workflow: the more steps, the more cost-effective n8n execution billing becomes; the more expensive Zapier task billing becomes; Make depends on per-run credit usage.
- Who handles failure: self-hosting means you own incident response and backup; SaaS hands operations to the vendor, but cost transparency needs recalculating.
Things You Should Not Automate
- Irreversible outward actions (transfers, deleting data, outbound email): set a review gate before letting AI run them automatically.
- Highly sensitive data (personal data, financial, medical): first confirm storage and LLM-side retention policies.
- One-off judgment work: the cost of building a flow may be higher than running it manually once.
Similar Tools
- Pipedream: developer-oriented API workflow.
- Activepieces: open-source automation builder.
- Workato: enterprise iPaaS.
- IFTTT: consumer applets.
- Retool Workflows: developer-oriented workflow for internal tool teams.
Conclusion
The four tools are four different combinations of billing, deployment, and scenario fit. There is no linear ranking. Estimate your workflow’s trigger frequency, step count, and failure cost first, then map that to billing units. That is steadier than reading rankings.
Further reading: Full AI Automation Guide and AI Scheduling Systems in Practice.