NoCode Agents
Make vs Zapier Agents comes down to a simple trade: Zapier Agents gives you the widest app coverage (9,000+ apps) and the easiest setup if you already use Zapier, while Make gives you a visual canvas with a Reasoning panel that shows every decision your agent makes. Neither offers self-hosting, and their pricing models are fundamentally different — Make bills in credits, Zapier in tasks.
Make vs Zapier Agents at a glance
| Make (Make AI Agents) | Zapier Agents | |
|---|---|---|
| Pricing model | Credits (most actions use 1 credit; some AI features use more) | Task-based; Agents sold as an add-on |
| Entry price | Free plan (1,000 credits/mo); paid Core, Pro, Teams | Add-on to Zapier plans (Professional from $19.99/mo) |
| Free option | Free plan, 1,000 credits/month | Zapier Free plan (100 tasks/mo) |
| Self-hosting | No | No |
| App coverage | 3,500+ pre-built apps | 9,000+ apps |
| Best for | Visual thinkers who want to see agent reasoning; SMBs already using Make | Teams already using Zapier; non-technical users who need the widest app coverage |
Sources: Make AI Agents, Make pricing & FAQ, Zapier Agents, Zapier pricing.
How much does Make cost compared to Zapier Agents?
Make is cheaper to start with if you count free allowances. Make’s pricing page lists a free plan with 1,000 credits per month and 1 data store. Paid plans (Core, Pro, Teams) are billed in credits, and you can buy extra credits in bundles of 1,000 or 10,000. Credits became Make’s billing unit on August 27; most actions use 1 credit, though some AI features use more. Router and error-handler modules do not consume credits.
Zapier Agents is an add-on on top of Zapier’s platform plans. Zapier’s pricing page lists a Free plan with 100 tasks per month, Professional from $19.99/month, and Team from $69/month. Agents and Chatbots are priced as add-ons — you need to check the Agents tab on Zapier’s pricing page for current rates. Every Zap step and external connector call uses tasks, and AI model tier, code runtime and connector type affect how many tasks an action uses. Tasks are shared across the account: Zaps, AI steps, code, MCP and SDK all draw from one allocation.
The practical difference: Make’s credit system is more granular for AI-heavy workflows, while Zapier’s shared task pool is simpler to understand if you already pay for Zapier. If you run out of credits on Make, scenarios pause and incoming webhooks are queued up to your plan’s webhook-queue limit.
Which has more app integrations?
Zapier Agents wins on breadth. Zapier says Agents can do work across 9,000+ apps, which is the largest claimed integration library in this directory. Make says its agents connect to 3,500+ pre-built apps.
If your workflow depends on a niche SaaS tool, Zapier is more likely to have a pre-built connector. Make covers the major apps and is usually sufficient for common business workflows, but Zapier’s lead is significant.
Which is easier to build with?
Both are no-code, but they feel different. Make is a visual-first platform: you build agents in the same canvas as ordinary scenarios, and Make’s FAQ says no coding experience is needed. Its standout feature is the Reasoning panel, which shows every decision the agent makes, step by step, on the canvas. You can add manual approvals or stop the agent at specific points, and agents are reusable across workflows.
Zapier Agents sits on top of Zapier’s automation platform (Zaps, Tables, Forms, MCP). You describe an agent — with help from Zapier Copilot — connect it to business data, and let it work across apps. Zapier’s own examples include a lead-enrichment agent, an IT helpdesk Slack responder, a support-email agent that drafts replies from your knowledge base, and a candidate-ranking agent.
Make’s canvas gives you more visual control and transparency. Zapier Agents is more conversational to set up, especially if you already know Zapier’s interface.
Which is better for seeing what the agent is doing?
Make wins on transparency. Its Reasoning panel shows every decision the agent makes, step by step, on the canvas. This is Make’s clearest differentiator: if you need to audit, debug or simply trust what the agent is doing, Make makes it visible.
Zapier Agents does not offer an equivalent step-by-step reasoning view in the facts we have. If transparency matters to you — for example, in a workflow that touches customer data or financial records — Make is the safer choice.
Which should you choose for common scenarios?
Here are illustrative scenarios, not test results:
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A 5-person marketing agency already using Zapier for client reporting. Choose Zapier Agents. Your app connections are already wired in, and Agents reuses them. The add-on cost is easier to justify than migrating to a new platform.
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An ops team that wants to automate invoice processing with a few judgment calls. Choose Make. The Reasoning panel lets you see why the agent flagged an invoice, and you can add a manual approval step before anything is sent. Make’s credit system is also more predictable for workflows with variable AI usage.
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A startup that needs a support-email agent drafting replies from a knowledge base. Either works, but Zapier’s own example matches this use case exactly. If you’re not already on Zapier, compare the free tiers first: Make gives you 1,000 credits per month, Zapier gives you 100 tasks.
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A team that needs self-hosting for data-residency reasons. Neither. Both Make and Zapier Agents are cloud-only. Look at n8n or other self-hosted AI agent builders.
What are the main limitations of each?
Make’s limitations: no self-hosting, and its app library (3,500+) is smaller than Zapier’s. If you need an always-on chat assistant rather than a canvas-based agent, Make is not the right fit.
Zapier Agents’ limitations: no self-hosting, and per-task billing can add up on very high-volume multi-step runs. Agents is also an add-on, so the total cost is less transparent than a standalone plan.
Bottom line
Choose Zapier Agents if your team already runs on Zapier and you need the widest app coverage. Choose Make if you want to see exactly what your agent is doing, prefer a visual canvas, or want a more generous free tier to start with. Both are capable no-code agent builders; the deciding factor is usually your existing stack and how much transparency you need.