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Process mining · October 2026 Edition

IBM Process Mining vs UiPath Process Mining

Zero of fourteen models named IBM Process Mining first on the direct prompt; two named UiPath Process Mining. Both were named by all fourteen models and IBM Process Mining carries 37 labels and UiPath Process Mining 50, so the shares are not directly comparable.

IBM Process Mining

criticized challenger

Named in one category this edition.

UiPath Process Mining

accepted challenger

Named in one category this edition.

First-choice share14%10%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate27%10%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#4A position in a field of 9; printed, not drawn.
Labels3750A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, IBM Process Mining reading right to left. Rank and label count are printed, not drawn.Apromore vs IBM Process Mining · Apromore vs UiPath Process Mining · Microsoft Power Automate Process Mining vs IBM Process Mining

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 process mining page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
IBM Process MiningFirst choices, of fourteen modelsUiPath Process Mining
Direct021 against IBM Process Mining · 1 against UiPath Process Mining
Paraphrase73
Comparative00
Budget-constrained002 against IBM Process Mining
Scale-constrained11
Negative007 against IBM Process Mining · 4 against UiPath Process Mining
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the October 2026 Edition, IBM Process Mining and UiPath Process Mining were named in the same answer seventy-nine times, of the 107 answers naming IBM Process Mining and the 152 naming UiPath Process Mining. In those answers UiPath Process Mining took the first choice two times and IBM Process Mining seven.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where IBM Process Mining and UiPath Process Mining stood in it.
ModelDirectIPParaphraseIPComparativeIPBudget-constrainedIPScale-constrainedIPNegativeIP
Claude Haiku 4.5IPIP
GPT-5.4 miniIP
Gemini 3.5 FlashIPIPIP
Perplexity SonarIP
Grok 4.1 FastIPIPIP
Mistral SmallIPIP
DeepSeek V4 FlashIPIPIPIP
Llama 4 MaverickIP
Qwen 3.7 FlashIPIPIP
Kimi K2IPIPIP
GLM 4.7 FlashXIP
MiniMax M2.5IPIPIP
GPT-6 Luna
Muse Glimmer 30BIPIPIP
IP IBM Process Mining UiPath Process MiningIP first choiceIP named as an alternativeIP argued againstblank: not namedEach cell is one answer, IBM Process Mining on the left and UiPath Process Mining on the right.

The direct prompt

The plain question, one answer per model, grouped by where IBM Process Mining and UiPath Process Mining stood in it.

UiPath Process Mining first, IBM Process Mining not the choice

2 of 14 modelsIBM Process Mining was named in the answer but not as the choice, or not at all.
GPT-5.4 miniUiPath Process Mining alternatives: Celonis Process Intelligence Platform, SAP Signavio Process Intelligence
DeepSeek V4 FlashMicrosoft Power Automate Process Mining, UiPath Process Mining alternatives: Mindzie, Minit, ProcessMind

Neither was the first choice, one was named

7 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashMicrosoft Power Automate Process Mining alternatives: Apromore, KYP.ai, UiPath Process Mining
Perplexity SonarMicrosoft Power Automate Process Mining alternatives: SAP Signavio Process Intelligence, UiPath Process Mining
Grok 4.1 FastMicrosoft Power Automate alternatives: Apromore, UiPath Process Mining
Mistral SmallCelonis Process Intelligence Platform alternatives: SAP Signavio Process Intelligence, UiPath Process Mining
Qwen 3.7 FlashEverflow Process Intelligence, ProcessMaker alternatives: SAP Signavio Process Intelligence, UiPath Process Mining
MiniMax M2.5Apromore, Celonis Process Intelligence Platform alternatives: IBM Process Mining, Microsoft Power Automate Process Mining, UiPath Process Mining
GPT-6 LunaApromore alternatives: Power Automate Process Mining, SAP Signavio Process Intelligence, UiPath Process Mining

Neither was named

5 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Microsoft Power Automate alternatives: Apromore, ProcessMind, QPR ProcessAnalyzer
Llama 4 MaverickProcessMaker
Kimi K2Microsoft Power Automate Process Mining, Mindzie alternatives: Apromore, MEHRWERK, QPR ProcessAnalyzer
GLM 4.7 FlashXMindzie alternatives: ABBYY Timeline, Apromore, Microsoft Power Automate
Muse Glimmer 30BDecisions, ProcessMaker alternatives: Microsoft Power Automate Process Mining, Noxus

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

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Level: the same share of first choices.
IBM Process Mining2%#10 of 12
UiPath Process Mining2%#9 of 12
The full small business standing →
Mid-marketThe figures above
IBM Process Mining leads by three points.
IBM Process Mining14%#3 of 9
UiPath Process Mining10%#4 of 9
The full mid-market standing →
Enterprise
IBM Process Mining leads by four points.
IBM Process Mining4%#4 of 8
UiPath Process Mining0%#5 of 8
The full enterprise standing →

What the models said about IBM Process Mining

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.

“What I would avoid on a limited budget: Celonis, IBM Process Mining, and similar enterprise suites” GPT-5.4 mini · budget prompt · hard negative
“~$4,250/month and enterprise-governance-focused — overkill for most mid-market teams.” DeepSeek V4 Flash · direct prompt · hard negative
“IBM Process Mining starts at ~$4,250/month — still expensive for SMBs” DeepSeek V4 Flash · budget prompt · hard negative
“I would recommend IBM Process Mining if you want a process intelligence platform that is explicitly described as *tailored more to midsize organizations*” Perplexity Sonar · paraphrase prompt · first choice
“For most mid-sized B2B companies, IBM Process Mining or SAP Signavio are the best recommendations.” Mistral Small · paraphrase prompt · first choice
“Mid-Market & Agile Specialized Tools (e.g., Apromore, Fluxicon Disco, IBM Process Mining)” Gemini 3.5 Flash · scale prompt · first choice

What the models said about UiPath Process Mining

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.

“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
Also compared

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.