Table of Contents
Zapier vs Make: April 2026 Update
Published April 30, 2026, by Pondero Editorial
TL;DR
The shape of this comparison hasn’t changed in April 2026, but the intensity has. Zapier still wins on breadth, ease, and time-to-first-automation. Make still wins on cost-per-operation and on workflows with branching, looping, or heavy data transformation. What’s shifted is the governance story. Both vendors are pushing harder on enterprise controls, and the gap is closing fast.
The picture as of April 2026
| Dimension | Zapier | Make |
|---|---|---|
| Best at | Wide app coverage, fast no-code starts | Complex visual workflows, cost-efficient ops |
| Pricing pressure | Task-based: punishes high-volume, multi-step Zaps | Operations-based: kinder to volume, more predictable |
| Governance posture (April) | Pushing harder on SSO, audit, RBAC for enterprise plans | Catching up on enterprise controls; better dev/staging support |
| Builder experience | Linear, form-driven | Visual canvas with branches and iterators |
| Where teams trip up | Surprise overage on tasks | Steeper learning curve for non-technical users |
For the full feature-by-feature breakdown (with pricing tables and verdicts) see our Zapier vs Make complete comparison.
What changed in this update
- Pricing models held shape. Zapier remains task-based at the seat level; Make remains operations-based. Neither has restructured the underlying meter, so the back-of-envelope rule still holds: high-volume + branching → Make is dramatically cheaper; low-volume + simple → Zapier wins on time-to-value.
- Governance is the new battleground. Both vendors are leaning into SSO, audit logs, RBAC, and folder-level controls for the mid-market. If you ran a procurement evaluation a year ago and didn’t pick a winner on this dimension, it’s worth re-running.
- AI actions matured into a baseline expectation, not a differentiator. Both platforms ship serviceable LLM steps now. Picking by AI-action quality alone is no longer enough.
Who should pick what, right now
Pick Zapier if:
- You need broad app coverage and most of your team is non-technical.
- Your automations are mostly linear (trigger → 1-3 actions → done).
- You’re optimizing for time-to-first-working-automation.
Pick CustomGPT.ai if:
- You need a dedicated RAG bot for customer service or documentation.
- You want a specialized tool that handles document ingestion and citations natively.
Pick Make if:
- Your workflows branch, loop, or transform data heavily.
- Your run volume is high and per-task pricing is going to bite.
- You want a visual builder you can scale with as complexity grows.
What to ignore
Anyone selling you “Zapier is dead” or “Make is enterprise-only” content. Both platforms are still healthy choices for their respective archetypes. The honest answer is workflow-shape-dependent, and our Zapier review and Make coverage hold.
Verdict
If you’re starting fresh and need an answer in 30 seconds: non-technical team, ≤ 3-step workflows → Zapier. Engineering-adjacent team, branching workflows or > 5,000 ops/month → Make. Re-evaluate every quarter. Pricing-policy changes are how this category usually surprises you.
Related: Zapier review · Zapier vs Make · Best AI automation tools