Make is a beautiful and powerful platform, but its pricing is based on counting operations. Every node executed = 1 operation. A 5-step scenario triggered 1,000 times consumes 5,000 operations. MeigaHub doesn't count: you pay for the rule, not for each step it runs.
Make.com is for you if…
MeigaHub is for you if…
An honest look at what each tool does best.
| Feature |
MeigaHub
|
Make.com |
|---|---|---|
| Pricing model | ||
| Per-operation billing |
No
Fixed monthly |
Yes
10k ops Core, 800k Pro |
| Unlimited executions on base plan |
Yes
Limit on number of rules |
No
Ops cap |
| Pay-per-token LLM |
No
Local LLM included |
Yes
OpenAI/etc. extra |
| Estimated cost at 1,000 5-step executions | ||
| Base platform |
Yes
€29 fixed (Pro) |
€18 Core (10k ops) |
| At 1k execs × 5 steps = 5k ops |
Yes
€29 (no extra) |
€18-29 Core/Pro |
| At 10k execs × 5 steps = 50k ops |
Yes
€29 (no extra) |
No
€40-46 Pro/Teams |
| LLM cost (1k AI runs) |
Yes
€0 with local LLM |
No
~€15-50 in tokens |
| Privacy & data sovereignty | ||
| Sensitive-data mode (no cloud) |
Yes
Force local-only per user |
No
All flows pass through cloud |
| EU hosting |
Yes
Frankfurt / Madrid |
Yes
Make has EU region |
| Cloud LLM audit log |
Yes
Every call recorded |
No |
| Engine & visualization | ||
| Visual editor | Form + agent assistance |
Yes
Best in market |
| AI agent native |
Yes
Local LLM with tools |
Make AI by tokens |
| Parallel branches (DAG) |
Yes
Bus::batch fan-out |
Yes
Native router |
| Native webhook ingest |
Yes
Per-user token |
Yes |
Comparison prepared in March 2026 based on public documentation of both projects. Subject to change.
Make is much fairer than Zapier in pricing, but it still depends on counting every node executed. A 10-step scenario triggered 5,000 times consumes 50,000 operations and forces you to upgrade plans. MeigaHub doesn't care how many steps your rule has.
Teams using Make end up worrying about which scenarios spend more, instead of building better automations. MeigaHub eliminates that tax: more nodes don't cost more.
Make AI charges by tokens of OpenAI or whichever LLM provider you connect. MeigaHub uses a local LLM that doesn't charge per token: AI inside rules is free regardless of usage.
Make processes all flows in its cloud. There's no way to mark "this scenario can't leave my network". MeigaHub has sensitive-data mode per user.
MeigaHub gives you most of what Make offers — parallel branches, agent inside, webhook ingest — without counting operations and with an LLM that doesn't charge per token.
Triggering a 20-step rule costs the same as a 2-step rule. The model rewards complexity, doesn't punish it.
AI inside rules runs on your MeigaHub-server via Tailscale. Cloud is fallback only.
Per user or knowledge space, force the agent to use only local LLMs. Data of those flows never reaches the cloud.
Every external LLM call is recorded for compliance audits and post-mortem review.
Both tools have their place. The choice depends on your use case.
Worried about operations growing your bill? Try a fixed price with a local LLM included.
Chat on Telegram and WhatsApp. Free local LLMs. Integrated social automation.
Start on the Free plan and upgrade only when you need more capacity.