Make vs n8n
Three of twelve models named Make first on the direct prompt; one named n8n. Both were named by all twelve models and Make carries 48 labels and n8n 44, so the shares are not directly comparable.
Named in four categories this edition.
Berlin, Spain, founded 2019. Named in two categories this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the workflow automation and ipaas page.
By framing
MakeFirst choices, of twelve modelsn8n
The direct prompt
Both were the first choice
1 of 12 modelsThe answer named them together, and the judge labeled each a first choice.Make first, n8n an alternative
2 of 12 modelsn8n was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
5 of 12 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
4 of 12 modelsThe answer made no first choice from these two in this category.Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
What the models said about Make
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“powerful and often better value, but it is still best suited to app-to-app automation; if you need strong governance ... it may not be the right fit” Perplexity Sonar · negative prompt · soft negative
“only for lightweight, low-volume, non-critical automations; they're not designed for complex, high-volume B2B data integration” DeepSeek V4 Flash · paraphrase prompt · soft negative
“Strong value for mid-complexity workflows... Avoid for long-running processes or data-sensitive industries.” DeepSeek V4 Flash · negative prompt · soft negative
“Choose Make if you are cost-conscious, manage complex agency workflows, or need to process hundreds of records at once cheaply.” Qwen 3.7 Flash · comparative prompt · first choice
“Complex Logic on a Budget | Make | Allows loops, deep branching, and data arrays at a fraction of Zapier's cost.” Gemini 3.5 Flash · comparative prompt · first choice
“4. Make (Best Value) ... For most small businesses with limited budgets, Make or n8n offer the best balance” GLM 4.7 FlashX · budget prompt · first choice
What the models said about n8n
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“n8n ⚠️ SECURITY CONCERNS ... Webhook URLs have been actively abused by threat actors since October 2025” Mistral Small · negative prompt · hard negative
“Excellent if you have genuine DevOps capacity... A trap if you're a non-technical team looking to save money.” DeepSeek V4 Flash · negative prompt · soft negative
“Be cautious of Make (Integromat) and n8n ... they expect you to understand data structures like JSON” Gemini 3.5 Flash · negative prompt · soft negative
“while n8n is the strategic choice if you have technical resources and want to scale without pricing surprises” Kimi K2 · direct prompt · first choice
“Privacy, Custom Code, or AI | n8n | Can be self-hosted securely, easily handles custom JavaScript/Python” Gemini 3.5 Flash · comparative prompt · first choice
“Make or n8n offer the best balance of features and cost, depending on your technical capabilities.” GLM 4.7 FlashX · budget prompt · first choice
Comparisons are drawn for the top three products in each category. The output is the models' output; nothing here is a recommendation by the index.