Zapier vs Make in 2026:
honest comparison for ops teams.

Almost every ops team eventually faces the same fork: stay on Zapier where you started, or migrate to Make (the platform formerly called Integromat). The two are often pitched as alternatives, but they're built for different brains and different price ceilings.

This post is the honest side-by-side. We'll cover pricing, the visual builder, branching, error handling, AI nodes and the exact break-even point where Make starts winning on cost.

1. Pricing: tasks vs operations

The single most important difference between Zapier and Make is the billing unit.

Zapier charges per task. A "task" is one successful action by Zapier (sending an email, creating a row, posting a Slack message). Triggers and filters don't count. The pricing tiers are roughly:

• Free: 100 tasks/month, 5 single-step Zaps
• Starter: $20/month, 750 tasks, multi-step
• Professional: $49/month, 2,000 tasks, premium apps
• Team: $69/month, 50,000 tasks
• Company: custom, 100,000+ tasks

Make charges per operation. An "operation" is one module run inside a scenario. A scenario that fetches 1 record, transforms it and writes it to 3 places uses 5 operations. Pricing:

• Free: 1,000 operations/month, 2 active scenarios
• Core: $9/month, 10,000 ops, unlimited scenarios
• Pro: $16/month, 10,000 ops + advanced features
• Teams: $29/month, 10,000 ops + role-based access
• Enterprise: custom, 1M+ ops

The conversion rate isn't 1:1. A typical Zapier 3-step Zap (trigger + 2 actions) consumes ~2 Zapier tasks. The same scenario in Make consumes ~4–6 operations (trigger, the 2 actions, plus a router or filter). So roughly: 1 Zapier task ≈ 2–3 Make operations.

Even at that conversion, Make is 3–10× cheaper at any meaningful scale. A team using 10,000 tasks/month on Zapier ($69 Team plan) would use ~25,000 operations on Make — covered by the $9 Core plan after a one-tier-up for headroom.

2. The visual builder

This is where many teams emotionally pick a side.

Zapier's editor is linear. You see a vertical step list: Trigger → Action → Action → Action. Each step is configured in a side panel. It's beautifully designed and bulletproof for simple flows. You don't need to understand data structures to ship a working Zap.

Make's editor is a canvas. Modules are circles connected by lines. Routers split a flow into branches. Iterators turn arrays into individual items. Aggregators turn streams back into arrays. It's visually closer to a flowchart — more powerful, more intimidating.

If your team has ever drawn a process diagram on a whiteboard, they will adapt to Make in a day. If they haven't, expect a week or two of fumbling. The learning curve is real, but the ceiling is meaningfully higher.

3. Branching, routers and loops

Most real workflows aren't linear. They have "if A then X, if B then Y", or "for each record in the list, do these three things", or "if any of these fail, roll back and notify ops".

Zapier added Paths in 2020 and improved them in 2024. Paths let you branch on conditions. It works, but every path counts toward tasks separately and there's a hard cap on paths per Zap (typically 3–5 depending on plan).

Make has had routers, iterators, aggregators and filters from day one. Routers fan out into N parallel branches. Iterators walk arrays. Aggregators re-collect parallel results. Filters gate individual modules. You can nest them. There's no architectural ceiling.

If your workflow has more than two "if this then that" decisions, you're past Zapier's sweet spot.

4. Error handling

This is the most underrated category and the one that bites teams hardest in production.

Zapier shows a failed task in the history view, retries 3 times automatically, and emails you. That's it. There's no rollback. If step 3 of 5 fails, steps 1 and 2 already ran — you get to clean up the partial state yourself.

Make lets you attach a dedicated error handler route to any module. You can choose: retry-with-backoff (configure attempts and delay), ignore the error, commit the in-flight transaction, break the scenario, or roll back via your own custom path. This makes Make dramatically safer for workflows that touch billing, customer data or inventory.

5. AI / LLM integrations

Both tools added AI modules in 2023 and refined them through 2025–2026.

• Zapier ships AI Actions (call OpenAI / Claude / Gemini from any Zap), Zapier Tables (lightweight database), and a Zapier-built AI Agent Builder. The polish is excellent — "summarize this email" works in 30 seconds.
• Make ships OpenAI, Anthropic, Mistral, Cohere, Hugging Face and Replicate modules with per-call control over temperature, max-tokens, response format, and streaming. Its AI Agent module supports tool-calling loops and multi-step reasoning that Zapier's agent currently can't match.

For "single AI call as part of a workflow" — they tie. For "multi-step AI agent that calls 4 tools, reasons about the results, and writes a structured output" — Make wins clearly.

6. Integration coverage

Zapier still leads on raw count: about 8,000+ apps in 2026 vs Make's ~2,000+. But both have universal HTTP / Webhook modules, so anything with a REST API is reachable on either platform.

Where Zapier wins: long-tail SaaS (niche CRMs, regional accounting tools, marketing automation platforms). If you depend on, say, ActiveCampaign + Outreach + a specific shipping carrier — check Make's integration list before committing.

Where Make wins: anything with rich API control. Webhooks, JSON-XML transforms, custom HTTP retries, OAuth-protected APIs that don't have a "blessed" Zapier app — all easier on Make.

7. Decision matrix

FAQ

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