We’re at an inflection point in our automation platform evaluation. We’ve been comparing Make and Zapier on features and workflow capacity, but the licensing picture is forcing us to separate our analysis.
Right now, we pay for OpenAI, Claude, Deepseek, and Gemini as separate subscriptions—each with different usage models, billing cycles, and contract terms. It’s a mess. On paper, consolidating this into one unified AI subscription would simplify our life, but I’m trying to understand if it actually changes the Make vs Zapier decision financially.
My question: if you move from managing 10+ separate AI model subscriptions to having access to 400+ models under one contract, does that shift which platform makes better financial sense? Is it a minor adjustment to the spreadsheet, or does it materially change the ROI of switching?
Has anyone actually recalculated their Make vs Zapier decision after consolidating their AI licensing, and if so, what shifted?
We went through this analysis last quarter and it absolutely changed things. When we were managing separate subscriptions, the effective cost per model was high because of minimum commitments and per-vendor overhead. The moment we consolidated to one subscription, two things happened:
First, the per-model cost dropped by about 25% because we were buying volume and the pricing was more transparent. Second, it actually made Zapier more attractive financially than Make for our use case, because we could now afford to use AI agents for things we previously couldn’t justify. So the platform decision hinged on which one had better built-in AI coordination.
Turns out this was a bigger variable than we’d accounted for. We expected consolidation to be neutral on the platform choice, but it wasn’t. It changed our workflow architecture, which then changed platform requirements.
The other thing that changed: licensing visibility. With separate subscriptions, we couldn’t easily see where AI spend was happening. With one subscription, it became obvious which workflows were expensive and which were cheap. That led us to redesign some workflows to be more efficient, which probably saved more than the consolidation itself.
We quantified the impact by building two TCO models: current state with separate AI subscriptions plus either Make or Zapier, versus consolidated AI subscription plus either Make or Zapier. The consolidation actually flipped which platform looked better financially for our workload.
This happened because Make’s pricing model assumed you’d want to use expensive AI models extensively, while Zapier had lower per-workflow costs but limited AI integration. When we could access 400+ models affordably, Make became the better choice despite its per-workflow fees. The numbers shifted by about 15-20% in Make’s favor when we accounted for unified AI licensing.
yes it changes things. consolidation drops ur per-model cost like 20-30%, which changes which platform makes financial sense. recalculate both scenarios.
Unified AI licensing significantly impacts the financial comparison. Recalculate your Make vs Zapier decision with consolidated AI costs as a separate line item to see the real impact on total cost of ownership.
This is something we see affect decisions all the time, and the honest answer is: yes, it does change things, but maybe not the way you’d expect. When you consolidate 400+ AI models into one subscription, the financial dynamics shift because your per-workflow AI cost becomes predictable and low rather than a question mark.
What we found with our analysis is that consolidation doesn’t just reduce licensing complexity—it fundamentally changes which workflows become economically viable. Suddenly, you can use AI for things you previously couldn’t justify. That expands your use case, which then changes the platform calculation.
Here’s the pattern: organizations typically find that consolidation makes the more feature-rich platform (usually Make in these comparisons) more attractive because the AI cost barrier is removed. You’re no longer choosing between expensive AI access or cheap workflows—you can have both.
Latenode’s approach is interesting here because we built unified AI pricing into the platform from the start. We’ve had clients recalculate their Make vs Zapier decision after consolidating with us, and most flip to us because the combination of unified AI access plus our no-code builder plus autonomous AI teams gives them more capability per dollar than either Make or Zapier individually.
My recommendation: build your financial model two ways—status quo with separate AI subs, and with consolidated access. The delta will show you how much the consolidation actually matters to your decision.