Celigo vs Tray.ai
Two of fourteen models named Celigo first on the direct prompt; zero named Tray.ai. Celigo was named by twelve of the fourteen models and Tray.ai by ten and Celigo carries 18 labels and Tray.ai 19, so the shares are not directly comparable.
Named in three 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
CeligoFirst choices, of fourteen modelsTray.ai
Across every category in the October 2026 Edition, Celigo and Tray.ai were named in the same answer fourteen times, of the 48 answers naming Celigo and the 47 naming Tray.ai. In those answers Tray.ai took the first choice one time and Celigo two.
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 | | |
Celigo Tray.ai first choice named as an alternative argued againstblank: not namedEach cell is one answer, Celigo on the left and Tray.ai on the right.The direct prompt
Celigo first, Tray.ai an alternative
2 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
1 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
11 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 14Celigo0%#9 of 14What the models said about Celigo
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“Celigo and Workato are top picks due to their balance of ease of use, scalability, and strong B2B-focused features” Mistral Small · paraphrase prompt · first choice
“→ Start with Celigo. It hits the sweet spot of capability, cost, and usability for mid-market B2B.” Kimi K2 · paraphrase prompt · first choice
“Celigo for most NetSuite‑centric or SaaS‑heavy stacks with a mix of IT and business users” GLM 4.7 FlashX · paraphrase 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.