Make (Integromat) vs Replicate: 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 intricate, multi-step workflows, making it a go-to for power users handling complex integrations. Replicate, on the other hand, is a cloud-based service that simplifies running open-source machine learning models through a straightforward API, eliminating the need for GPU management and focusing on pay-per-use predictions. While Make excels in its flexible automation capabilities, such as handling conditional logic and app triggers, Replicate offers specialized features like instant access to models from libraries like Hugging Face without infrastructure hassles. Both tools cater to tech-savvy audiences, with Make boasting a higher user base of over 800,000 and a 4.7/5 rating, compared to Replicate's 200,000 users and 4.6/5 rating.

⚙️
Make (Integromat)
AI & Machine Learning
94
hiltonsoftware.co Score
RECOMMENDED
VS
🔁
Replicate
AI & Machine Learning
92
hiltonsoftware.co Score

Quick Comparison

Make (Integromat)
Replicate
Starting Price
$9/mo
Pay per prediction
Free Plan
Yes
Yes
Users
800K+
200K+
Founded
2012
2019
Rating
4.7/5
4.6/5
Best For
Power users building complex, multi-step automatio...
Developers wanting to run open-source AI models wi...

Feature-by-Feature Comparison

Make (Integromat)Replicate
97Ease of Use94
96Features91
99Value for Money99
93Customer Support86
90Integrations95
91Scalability96
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
Replicate
+Run any open-source model via API
+No GPU management needed
-Costs add up with heavy use
-Cold start latency for some models
AI Verdict

Based on their strengths, I recommend Make (Integromat) for users focused on creating elaborate automations across multiple apps, as its powerful interface and flexibility outweigh its steeper learning curve, especially for those with 800,000+ users relying on it since 2012. Replicate is the better pick for developers prioritizing AI and ML tasks, thanks to its efficient API for running models without hardware management, though costs can escalate with frequent use. Ultimately, if your needs involve complex workflow integrations, go with Make; for streamlined AI model deployment, Replicate is more suitable, considering their respective pros like Make's superiority over Zapier for advanced flows and Replicate's no-GPU requirement.

CHOOSE MAKE (INTEGROMAT) IF:

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

CHOOSE REPLICATE IF:

Developers wanting to run open-source AI models without managing GPUs.

Frequently Asked Questions

What are the key differences in automation capabilities between Make (Integromat) and Replicate?
Make (Integromat) provides a visual interface for designing multi-step automations that connect various apps and AI tools, making it ideal for power users who need to handle conditional logic and integrations, though it has a steeper learning curve. Replicate, conversely, focuses on running open-source ML models via a simple API, allowing developers to execute predictions without managing GPUs, but it lacks the broad workflow automation features of Make. Overall, Make is better for comprehensive app ecosystems, while Replicate is specialized for AI tasks with potential cold start latency issues.
How do the pricing models and key features of Make and Replicate compare?
Make offers a free plan and starts at $9 per month, using an operations-based pricing that can confuse users but supports unlimited complex automations, whereas Replicate provides a free tier with pay-per-prediction pricing, which is usage-based and can add up for heavy AI workloads. In terms of features, Make emphasizes flexible workflow building with app connections, while Replicate highlights easy API access to ML models without hardware needs, making it more cost-effective for sporadic use. Both have high ratings, with Make at 4.7/5 for its power and Replicate at 4.6/5 for simplicity, but Make's predictable monthly cost might appeal more to ongoing automation users.
Which tool is better for a developer automating AI-driven data processing?
For automating AI-driven data processing, Replicate is the stronger choice as it allows developers to run open-source ML models via API without GPU management, enabling quick and efficient predictions for tasks like image recognition. Make could be useful if you need to integrate these AI processes into broader app workflows, but its focus on general automation might make it less specialized for pure AI tasks. I recommend Replicate for this use case due to its targeted features and pay-per-use model, which suits developers avoiding infrastructure overhead.
What factors should be considered when migrating from Make to Replicate?
When migrating from Make to Replicate, evaluate the shift from Make's visual workflow builder to Replicate's API-centric approach, which may require learning new coding practices and could involve a steeper initial adjustment for your team. Also, assess how your existing automations translate, as Make's multi-app integrations might not directly align with Replicate's focus on ML model execution, potentially needing custom adaptations. Finally, consider the pricing impact, since Replicate's pay-per-use could be more variable than Make's $9 monthly plan, making it essential to test costs for your specific usage patterns.

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