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Process mining · October 2026 Edition

IBM Process Mining vs PM4Py

Zero of fourteen models named IBM Process Mining first on the direct prompt; zero named PM4Py. IBM Process Mining was named by fourteen of the fourteen models and PM4Py by ten and IBM Process Mining carries 37 labels and PM4Py 14, so the shares are not directly comparable.

IBM Process Mining

criticized challenger

Named in one category this edition.

PM4Py

criticized challenger

Named in one category this edition.

First-choice share14%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate27%29%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#8A position in a field of 9; printed, not drawn.
Labels3714A 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.UiPath Process Mining was named alongside these two in nine of the fourteen direct answers. Apromore vs IBM Process Mining · Apromore vs PM4Py · 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 modelsPM4Py
Direct001 against IBM Process Mining
Paraphrase70
Comparative00
Budget-constrained012 against IBM Process Mining
Scale-constrained10
Negative007 against IBM Process Mining · 4 against PM4Py
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.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where IBM Process Mining and PM4Py stood in it.
ModelDirectIPPMParaphraseIPPMComparativeIPPMBudget-constrainedIPPMScale-constrainedIPPMNegativeIPPM
Claude Haiku 4.5IPPMIP
GPT-5.4 miniIPPM
Gemini 3.5 FlashIPPMIPIP
Perplexity SonarIP
Grok 4.1 FastIPIPPMIP
Mistral SmallIPIP
DeepSeek V4 FlashIPIPIPPMIP
Llama 4 MaverickIP
Qwen 3.7 FlashIPIPPMIPPM
Kimi K2IPPMIPIPPM
GLM 4.7 FlashXIPPMPM
MiniMax M2.5IPIPPMIP
GPT-6 LunaPMPM
Muse Glimmer 30BIPIPIP
IP IBM Process MiningPM PM4PyIP first choiceIP named as an alternativeIP argued againstblank: not namedEach cell is one answer, IBM Process Mining on the left and PM4Py on the right.

The direct prompt

The plain question, one answer per model, grouped by where IBM Process Mining and PM4Py stood in it.

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.
MiniMax M2.5Apromore, Celonis Process Intelligence Platform alternatives: IBM Process Mining, Microsoft Power Automate Process Mining, UiPath Process Mining

Neither was named

13 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
GPT-5.4 miniUiPath Process Mining alternatives: Celonis Process Intelligence Platform, SAP Signavio Process Intelligence
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
DeepSeek V4 FlashMicrosoft Power Automate Process Mining, UiPath Process Mining alternatives: Mindzie, Minit, ProcessMind
Llama 4 MaverickProcessMaker
Qwen 3.7 FlashEverflow Process Intelligence, ProcessMaker alternatives: SAP Signavio Process Intelligence, UiPath Process Mining
Kimi K2Microsoft Power Automate Process Mining, Mindzie alternatives: Apromore, MEHRWERK, QPR ProcessAnalyzer
GLM 4.7 FlashXMindzie alternatives: ABBYY Timeline, Apromore, Microsoft Power Automate
GPT-6 LunaApromore alternatives: Power Automate Process Mining, SAP Signavio Process Intelligence, UiPath Process Mining
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
IBM Process Mining leads by two points.
IBM Process Mining2%#10 of 12
PM4Py0%#11 of 12
The full small business standing →
Mid-marketThe figures above
IBM Process Mining leads by twelve points.
IBM Process Mining14%#3 of 9
PM4Py2%#8 of 9
The full mid-market standing →
Enterprise
IBM Process Mining leads by four points.
IBM Process Mining4%#4 of 8
PM4Py0%#– 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 PM4Py

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

“No graphical user interface – Requires programming knowledge and development skills” GLM 4.7 FlashX · negative prompt · hard negative
“Open Source Tools (Avoid if You Don't Have Developers)” Qwen 3.7 Flash · negative prompt · hard negative
“Open-source libraries such as PM4Py, if you expect a turnkey business app... a library may leave you responsible for building the interface” GPT-6 Luna · negative prompt · soft negative
“Best low-budget starting point: PM4Py—if your company has someone comfortable with Python and data preparation.” GPT-6 Luna · budget prompt · first choice
“If you have technical/data science resources, PM4Py offers the most power and flexibility at zero cost.” Kimi K2 · budget prompt · alternative
“PM4Py is the leading open-source library for process mining in Python. It is completely free” Gemini 3.5 Flash · budget prompt · alternative
Also compared
Apromore vs IBM Process MiningApromore vs PM4PyMicrosoft Power Automate Process Mining vs IBM Process MiningMicrosoft Power Automate Process Mining vs PM4PyIBM Process Mining vs UiPath Process MiningIBM Process Mining vs Microsoft Power AutomateIBM Process Mining vs SAP Signavio Process IntelligenceIBM Process Mining vs Celonis Process Intelligence PlatformUiPath Process Mining vs PM4PyMicrosoft Power Automate vs PM4PySAP Signavio Process Intelligence vs PM4PyCelonis Process Intelligence Platform vs PM4PyAll twenty-eight head-to-head pages and the full process mining standing

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.