Bench test · AI Automation
n8n vs Make
Same rack, same rubric, four independent agents. Here's how they measure up — and which we'd pick.
| n8n | Make | |
|---|---|---|
| consensus | score8.5/10 | score8.6/10 |
| agents won | 0 / 4 | 1 / 4 ▲ |
| from | Custom | Custom |
| free tier | no | no |
| category | AI Automation | AI Automation |
Agent panel — head to head
| Anthropic | 8.2 | 8.2 |
| OpenAI | 8.5 | 8.5 |
| Gemini | 8.8 | 9.2 ▲ |
| Grok | 8.3 | 8.3 |
n8n
- ✓Fully open-source with no vendor lock-in
- ✓Flexible deployment options and cost-effective
- ✓Extensive integrations and community support
- —Steeper learning curve than no-code alternatives
- —Requires technical knowledge for complex workflows
- —Smaller ecosystem compared to Zapier/Make
Visual workflow builder with drag-and-drop interface500+ pre-built integrations and connectorsSelf-hosted and cloud deployment optionsAI node support for LLM integrationCustom code execution in JavaScript/PythonWebhook and API triggers
Make
- ✓No coding required; accessible to non-technical users
- ✓Powerful AI capabilities reduce manual work
- ✓Large library of app integrations
- —Steep learning curve for complex workflows
- —Pricing scales quickly with usage and scenarios
- —Limited AI customization compared to dedicated AI platforms
Visual workflow builder with drag-and-drop interfaceAI-powered automation steps for intelligent task handlingMulti-app integration and data mappingConditional logic and branching workflowsPre-built templates and scenariosReal-time monitoring and error handling
Custom · no free tier
Try n8n ▸Custom · no free tier
Try Make ▸Verdict
Make takes it — 8.6 to 8.5 (a photo finish).
The panel gave Make the edge on 1 of 4 agents. It's close enough that n8n is a fair pick if it fits your workflow better.