Bench test · AI Automation
Nintex vs Make
Same rack, same rubric, four independent agents. Here's how they measure up — and which we'd pick.
| Nintex | Make | |
|---|---|---|
| consensus | score8.5/10 | score8.6/10 |
| agents won | 0 / 4 | 2 / 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 | 9.1 | 9.2 ▲ |
| Grok | 8.0 | 8.3 ▲ |
Nintex
- ✓Low-code/no-code approach reduces implementation complexity
- ✓Strong process intelligence and analytics capabilities
- —Steep learning curve for advanced features
- —Higher pricing compared to some competitors
Visual workflow designer with drag-and-drop interfaceProcess mining and task mining for process discoveryRPA capabilities for repetitive task automationAI-powered process optimization recommendationsMulti-system integration and connectivityReal-time process monitoring and analytics
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 Nintex ▸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 2 of 4 agents. It's close enough that Nintex is a fair pick if it fits your workflow better.