Google Gemini vs Make (Integromat): Complete Comparison (2026)
Choosing between Google Gemini and Make (Integromat) is a common decision for ai & machine learning buyers in 2026. Make (Integromat) has been in the market since 2012, giving it a 11-year head start over Google Gemini (founded 2023). Google Gemini serves 100M+ users while Make (Integromat) has 800K+ users globally. Google Gemini differentiates with multimodal understanding and google workspace integration, while Make (Integromat) leads with visual workflow builder and 1500+ app integrations. In this head-to-head comparison, Make (Integromat) earns a higher hiltonsoftware.co score of 94/100 — but the right choice depends on your specific needs, budget, and team size.
Quick Comparison
Feature-by-Feature Comparison
Pros & Cons at a Glance
After comparing Google Gemini and Make (Integromat) across features, pricing, and user satisfaction, Make (Integromat) takes the lead with a score of 94/100 versus Google Gemini's 90/100. Make (Integromat)'s key advantages include "very powerful and flexible automation" and "better than zapier for complex flows". That said, Google Gemini has its own strengths — particularly "deep google ecosystem integration" — making it a viable alternative for specific use cases.
Both Google Gemini and Make (Integromat) offer free plans, lowering the barrier to entry. Google Gemini's paid plans start at $19.99/mo while Make (Integromat) begins at $9/mo. Evaluate which paid features — Code generation, Image generation (Google Gemini) vs AI tools, Error handling (Make (Integromat)) — justify upgrading for your team.
Bottom line: Choose Google Gemini if you need google workspace users wanting ai assistance integrated across all google apps. Go with Make (Integromat) if your priority is power users building complex, multi-step automations between apps. Both are strong ai & machine learning tools — we recommend trying the free plan of each before committing.
Google Workspace users wanting AI assistance integrated across all Google apps.
Power users building complex, multi-step automations between apps.