Make vs Tray.ai
Three of fourteen models named Make first on the direct prompt; zero named Tray.ai. Make was named by fourteen of the fourteen models and Tray.ai by ten and Make carries 55 labels and Tray.ai 19, so the shares are not directly comparable.
Named in seven categories this edition.
Named in one category this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen 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 fourteen modelsTray.ai
Across every category in the October 2026 Edition, Make and Tray.ai were named in the same answer twenty-nine times, of the 172 answers naming Make and the 47 naming Tray.ai. In those answers Tray.ai took the first choice four times and Make six.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | ||||
| GPT-5.4 mini | | |||||
| Gemini 3.5 Flash | | | | | | |
| Perplexity Sonar | | | | | ||
| Grok 4.20 | | | | | | |
| Mistral Small | | |||||
| DeepSeek V4 Flash | | | | | | |
| Llama 4 Maverick | | |||||
| Qwen 3.7 Flash | | | | | | |
| Kimi K2 | | | | | ||
| GLM 4.7 FlashX | | | | |||
| MiniMax M2.5 | | | ||||
| GPT-6 Luna | | | | | ||
| Muse Glimmer 30B | | | |
Make Tray.ai first choice named as an alternative argued againstblank: not namedEach cell is one answer, Make on the left and Tray.ai on the right.The direct prompt
Make first, Tray.ai not the choice
3 of 14 modelsTray.ai was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
6 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
5 of 14 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
Tray.ai2%#6 of 14Make0%#14 of 14What the models said about Make
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of six in this category shown.
“Make.com given reliability decline and support issues” Kimi K2 · negative prompt · hard negative
“Examples: Complex setups on Make (formerly Integromator) or Retool ... they encourage bad architecture if not strictly governed.” Qwen 3.7 Flash · negative prompt · soft negative
“platforms like Make or n8n can be powerful, but they become harder to maintain as flows grow more branched” Perplexity Sonar · negative prompt · soft negative
“For most budget-conscious companies, Make offers the best balance of affordability, capability, and ease of use” Kimi K2 · budget prompt · first choice
“For most mid-market B2B companies, Make offers the best balance of capability, visual ease-of-use, and cost.” Kimi K2 · direct prompt · first choice
“Best Overall for Non-Developers: Make.com ... Make is the industry-standard budget choice.” Gemini 3.5 Flash · budget prompt · first choice
What the models said about Tray.ai
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Enterprise-scale complexity; pricing is prohibitive for mid-market.” Kimi K2 · direct prompt · hard negative
“not bad tools, but they are often enterprise-first and can require significant IT involvement” Perplexity Sonar · negative prompt · soft negative
“Avoid Workato or Tray.io if you have a tight budget or simple needs” Gemini 3.5 Flash · negative prompt · soft negative
“Workato and Tray.io tend to hit the sweet spot for this stage” DeepSeek V4 Flash · scale prompt · first choice
“Tools like Workato or Tray.io shine for your size” Grok 4.20 · scale prompt · first choice
“The Best Overall Choice: Tray.io” Qwen 3.7 Flash · paraphrase prompt · first choice
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.