Eight of fourteen models named Microsoft Power Automate first on the direct prompt; seven named UiPath. Both were named by all fourteen models and Microsoft Power Automate carries 72 labels and UiPath 70, so the shares are not directly comparable.
Named in four categories this edition.
Named in two categories 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 robotic process automation page.
Across every category in the October 2026 Edition, Microsoft Power Automate and UiPath were named in the same answer 192 times, of the 333 answers naming Microsoft Power Automate and the 220 naming UiPath. In those answers UiPath took the first choice sixty-seven times and Microsoft Power Automate seventy-seven.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | ||||||
| Grok 4.1 Fast | ||||||
| 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 |
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.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“if your environment is not already Microsoft-centric, because its value is strongest inside the Microsoft ecosystem, and costs can rise quickly” Perplexity Sonar · negative prompt · soft negative
“Be cautious for heavy non-Microsoft estates or complex attended/unattended enterprise governance.” Muse Glimmer 30B · negative prompt · soft negative
“it may not be suitable for organizations that do not use Microsoft 365” Llama 4 Maverick · negative prompt · soft negative
“the best RPA platform is usually one of these two: 1. Microsoft Power Automate — best if your company already uses Microsoft 365/Windows and wants a low entry cost” GPT-5.4 mini · budget prompt · first choice
“mid-market companies evaluate Microsoft Power Automate (especially if you are already heavily invested in the Microsoft 365 ecosystem)” Gemini 3.5 Flash · scale prompt · first choice
“If your company is already using Microsoft products, Power Automate is likely the most cost-effective and easiest to implement.” Mistral Small · budget prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“SMBs should approach UiPath with caution... its licensing fees, Orchestrator costs, and the high salary demands of specialized UiPath developers make its TCO steep.” Gemini 3.5 Flash · negative prompt · soft negative
“Be cautious if you need low-code citizen development on a tight budget, or want AI-first automation rather than RPA+AI add-ons.” Muse Glimmer 30B · negative prompt · soft negative
“High/ unpredictable licensing costs... Steep learning curve for advanced features; complexity overwhelms non-developers.” Grok 4.1 Fast · negative prompt · soft negative
“UiPath recognized as a Leader for the sixth consecutive year—positioned highest for Ability to Execute and furthest for Completeness of Vision” MiniMax M2.5 · comparative prompt · first choice
“the best robotic process automation software for a mid-sized B2B company would be UiPath, Automation Anywhere, or IBM Robotic Process Automation” Llama 4 Maverick · paraphrase prompt · first choice
“Start with the UiPath Community Edition. It is the only way to get high-end, professional-grade automation software for free.” Qwen 3.7 Flash · budget 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.