# UiPath Process Mining vs Microsoft Power Automate: which do AI models recommend for process mining, October 2026

IT AI Recommendation Index, October 2026 Edition, Process mining. Two of fourteen models named UiPath Process Mining first on the direct prompt; two named Microsoft Power Automate. Page: https://it-ai-index.com/operations/process-mining/uipath-process-mining-vs-microsoft-power-automate/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| UiPath Process Mining | 10% | #4 of 9 | 10% | 50 | 14 of 14 |
| Microsoft Power Automate | 5% | #5 of 9 | 7% | 14 | 9 of 14 |

## The direct prompt, model by model

- GPT-5.4 mini: uipath process mining first (first choices: UiPath Process Mining) (alternatives: Celonis Process Intelligence Platform, SAP Signavio Process Intelligence)
- DeepSeek V4 Flash: uipath process mining first (first choices: Microsoft Power Automate Process Mining, UiPath Process Mining) (alternatives: Mindzie, Minit, ProcessMind)
- Claude Haiku 4.5: microsoft power automate first (first choices: Microsoft Power Automate) (alternatives: Apromore, ProcessMind, QPR ProcessAnalyzer)
- Grok 4.1 Fast: microsoft power automate first (first choices: Microsoft Power Automate) (alternatives: Apromore, UiPath Process Mining)
- Gemini 3.5 Flash: neither first, one named (first choices: Microsoft Power Automate Process Mining) (alternatives: Apromore, KYP.ai, UiPath Process Mining)
- Perplexity Sonar: neither first, one named (first choices: Microsoft Power Automate Process Mining) (alternatives: SAP Signavio Process Intelligence, UiPath Process Mining)
- Mistral Small: neither first, one named (first choices: Celonis Process Intelligence Platform) (alternatives: SAP Signavio Process Intelligence, UiPath Process Mining)
- Qwen 3.7 Flash: neither first, one named (first choices: Everflow Process Intelligence, ProcessMaker) (alternatives: SAP Signavio Process Intelligence, UiPath Process Mining)
- GLM 4.7 FlashX: neither first, one named (first choices: Mindzie) (alternatives: ABBYY Timeline, Apromore, Microsoft Power Automate)
- MiniMax M2.5: neither first, one named (first choices: Apromore, Celonis Process Intelligence Platform) (alternatives: IBM Process Mining, Microsoft Power Automate Process Mining, UiPath Process Mining)
- GPT-6 Luna: neither first, one named (first choices: Apromore) (alternatives: Power Automate Process Mining, SAP Signavio Process Intelligence, UiPath Process Mining)
- Llama 4 Maverick: neither named (first choices: ProcessMaker)
- Kimi K2: neither named (first choices: Microsoft Power Automate Process Mining, Mindzie) (alternatives: Apromore, MEHRWERK, QPR ProcessAnalyzer)
- Muse Glimmer 30B: neither named (first choices: Decisions, ProcessMaker) (alternatives: Microsoft Power Automate Process Mining, Noxus)

## What the models said about UiPath Process Mining

- "standalone mining feels limited. Enterprise pricing ($24K–$200K+ annually reported) and integration complexity for non-RPA users." (Grok 4.1 Fast, negative prompt, soft negative)
- "Verdict: Be cautious, particularly if you need robust data connectivity or accurate process analytics out of the box." (DeepSeek V4 Flash, negative prompt, soft negative)
- "Caution: be cautious if you do not already use UiPath RPA, have messy/unstructured event logs and limited ETL capacity" (Muse Glimmer 30B, negative prompt, soft negative)
- "I'd usually recommend UiPath Process Intelligence if you want the best balance of discovery, automation follow-through, and scalability" (GPT-5.4 mini, paraphrase prompt, first choice)
- "UiPath Process Mining | Automation teams, RPA integration | $25/user/mo | 4.4/5" (Grok 4.1 Fast, scale prompt, first choice)
- "Best overall for many mid-market B2B firms: UiPath Process Mining" (GPT-5.4 mini, direct prompt, first choice)

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. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.