Gumloop vs Make
A side-by-side comparison of capabilities, autonomy, integrations, and pricing to help you choose.
Short answer: choose Gumloop if you want no-code platform to build and run ai automation workflows (Supervised agent, freemium); choose Make if you want visual automation platform that added reasoning ai agents to workflows (Supervised agent, freemium).
| Gumloop | Make | |
|---|---|---|
| What it is | No-code platform to build and run AI automation workflows | Visual automation platform that added reasoning AI agents to workflows |
| Type | platform | product-with-agents |
| Autonomy | Supervised agent | Supervised agent |
| Pricing | freemium · Free (5,000 credits/mo); Pro from $37/mo | freemium · Free tier (1,000 credits/mo); Core from $12/mo (annual) |
| Best for | smb, mid-market, enterprise | smb, mid-market, enterprise, developers |
| Deployment | saas | saas, api |
| Modalities | text, api | text, api |
| Models | gpt, claude, gemini, model-agnostic | model-agnostic, gpt, claude |
| Protocols | rest-api, function-calling | mcp, rest-api, function-calling |
| Integrations | Google Sheets, Salesforce, HubSpot, Slack, Gmail, Notion | Slack, Google Workspace, OpenAI, Anthropic, HubSpot, Salesforce |
| Capabilities | 3 documented | 4 documented |
Gumloop
- +Visual, node-based canvas makes complex multi-step automations buildable without code
- +First-class LLM steps (GPT, Claude, Gemini) plus 130+ integrations and batch processing
- +Flexible triggers: schedule, webhook, event, or bulk runs
- -Credit-based pricing rises fast once you add batch processing, AI calls, and many steps
- -Autonomy is only what the builder designs; flows run rules, they do not reason about goals on their own
Make
- +Mature visual builder with thousands of app integrations, now extended with reasoning AI Agents
- +AI Agents are built no-code in the same canvas and can be reused across workflows with attached tools and knowledge
- +Credit-based pricing with a free tier makes entry cheap; MCP support for extending tool access
- -Classic scenarios are deterministic, not agents; only the newer AI Agent module reasons and decides
- -Credit-based metering can get hard to predict as agent and scenario usage scales
Which should you choose?
Gumloop is no-code platform to build and run ai automation workflows, best for smb, mid-market, enterprise. Make is visual automation platform that added reasoning ai agents to workflows, best for smb, mid-market, enterprise, developers. The right choice depends on the autonomy level you want, your existing integrations, and your budget, all compared above.
This comparison is generated from the sourced Gumloop and Make profiles. Open either profile to review its evidence and last-reviewed date.