Make (Integromat) vs OpenAI API: Complete Comparison (2026)

Updated: March 12, 20268 min read

Make, formerly known as Integromat, stands out as a visual automation platform that enables users to connect apps and AI services for building multi-step workflows, such as integrating email with CRM systems or triggering actions based on AI outputs. In comparison, the OpenAI API offers direct access to advanced models like GPT-4 for natural language processing and DALL-E for image generation, making it ideal for developers embedding AI capabilities into their applications. Both tools boast a 4.7/5 rating and serve over 800,000 and 3 million users respectively, but Make excels in flexible automation scripting while OpenAI provides superior AI model selection for tasks like text summarization or content creation.

⚙️
Make (Integromat)
AI & Machine Learning
94
hiltonsoftware.co Score
VS
OpenAI API
AI & Machine Learning
94
hiltonsoftware.co Score

Quick Comparison

Make (Integromat)
OpenAI API
Starting Price
$9/mo
Pay per use
Free Plan
Yes
No
Users
800K+
3M+
Founded
2012
2015
Rating
4.7/5
4.7/5
Best For
Power users building complex, multi-step automatio...
Developers building AI-powered products and automa...

Feature-by-Feature Comparison

Make (Integromat)OpenAI API
97Ease of Use89
96Features99
99Value for Money91
93Customer Support94
90Integrations91
91Scalability89
92Learning Curve93

Pros & Cons at a Glance

Make (Integromat)
+Very powerful and flexible automation
+Better than Zapier for complex flows
-Steeper learning curve than Zapier
-Operations-based pricing confuses users
OpenAI API
+Best general-purpose AI API
+Comprehensive model selection
-Costs can escalate quickly
-Rate limits on new accounts
AI Verdict

Based on their strengths, I recommend Make for power users who need to handle complex, interconnected workflows across multiple apps, as its visual interface and operations-based pricing make it more accessible for automation-heavy projects despite the learning curve. On the other hand, the OpenAI API is the better choice for developers focused on AI integration, offering comprehensive models like Whisper for speech recognition, though its pay-per-use model can lead to escalating costs. Overall, if your work involves intricate app linkages, go with Make; for cutting-edge AI features in products, OpenAI is the way to go, considering their user bases and founding histories.

CHOOSE MAKE (INTEGROMAT) IF:

Power users building complex, multi-step automations between apps.

CHOOSE OPENAI API IF:

Developers building AI-powered products and automations.

Frequently Asked Questions

What are the main differences in functionality between Make and OpenAI API?
Make focuses on visual automation to connect various apps and AI tools for creating multi-step workflows, such as automating data transfers between services, which makes it powerful for business process management. In contrast, the OpenAI API provides specific AI capabilities like accessing GPT-4 for text generation or DALL-E for images, but it lacks the broad app integration features of Make. This means Make is better suited for overall workflow automation, while OpenAI excels in delivering AI-driven outputs for developers.
How do the pricing structures and key features of Make and OpenAI API differ?
Make offers a free plan with paid options starting at $9 per month, using an operations-based pricing that charges based on the number of actions performed, which supports features like unlimited app connections for complex automations. OpenAI API, however, operates on a pay-per-use model where costs vary by API calls and model usage, such as $0.002 per 1,000 tokens for GPT-4, but it includes comprehensive AI models without a flat monthly fee. This makes Make more predictable for ongoing automations and OpenAI more flexible for sporadic AI tasks, though OpenAI's costs can rise quickly with heavy usage.
Which tool is better for developers building AI-powered chatbots?
For building AI-powered chatbots, the OpenAI API is the superior choice due to its direct access to advanced models like GPT-4, which can handle conversational AI with high accuracy and natural language understanding. Make could complement this by automating chatbot workflows, such as integrating with messaging apps, but it doesn't provide the core AI capabilities. Therefore, I recommend starting with OpenAI for the AI foundation and using Make for any additional automation layers.
Is it straightforward to switch from Make to OpenAI API for automation projects?
Switching from Make to OpenAI API can be challenging because Make's visual workflows need to be reconfigured into custom code for OpenAI, which requires programming knowledge to handle API calls effectively. While OpenAI offers SDKs and documentation to ease integration, you'll likely need to rewrite automations that were visually built in Make, making the transition smoother for developers but steeper for non-coders. Overall, plan for some rework time when migrating, especially if your projects involve complex multi-app integrations.

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