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CRM data quality and deduplication · November 2026 Edition

Cleanlist vs OpenRefine

Two of fourteen models named Cleanlist first on the direct prompt; zero named OpenRefine. Cleanlist was named by eight of the fourteen models and OpenRefine by ten and Cleanlist carries 11 labels and OpenRefine 16, so the shares are not directly comparable.

Cleanlist

accepted challenger

Named in three categories this edition.

OpenRefine

criticized challenger

Named in three categories this edition.

First-choice share4%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%44%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#7A position in a field of 13; printed, not drawn.
Labels1116A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Cleanlist reading right to left. Rank and label count are printed, not drawn.Insycle was named alongside these two in fourteen of the fourteen direct answers. Insycle vs Cleanlist · Insycle vs OpenRefine · Dedupely vs Cleanlist

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 CRM data quality and deduplication page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
CleanlistFirst choices, of fourteen modelsOpenRefine
Direct20
Paraphrase001 against OpenRefine
Comparative001 against OpenRefine
Budget-constrained011 against OpenRefine
Scale-constrained00
Negative004 against OpenRefine
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 Cleanlist and OpenRefine stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
Cleanlist OpenRefine first choice named as an alternative argued againstblank: not namedEach cell is one answer, Cleanlist on the left and OpenRefine on the right.

The direct prompt

The plain question, one answer per model, grouped by where Cleanlist and OpenRefine stood in it.

Cleanlist first, OpenRefine not the choice

2 of 14 modelsOpenRefine was named in the answer but not as the choice, or not at all.
Llama 4 MaverickCleanlist alternatives: Dedupely, DemandTools, Findymail CRM Datacare, Insycle
Qwen 3.7 FlashCleanlist alternatives: Clay, Dedupely, DemandTools, Insycle

Neither was the first choice, one was named

2 of 14 modelsThe answer put something else first and named one of the two as an alternative.
GLM 4.7 FlashXInsycle alternatives: Cleanlist, Cloudingo, Dedupely, DemandTools
MiniMax M2.5Insycle alternatives: Cleanlist, Cloudingo, Dedupely

Neither was named

10 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5DemandTools alternatives: Cloudingo, Dedupely, Insycle, LeadAngel, ZoomInfo Operations
GPT-5.4 miniInsycle alternatives: Cloudingo, DemandTools, HubSpot Operations Hub
Gemini 3.5 FlashInsycle alternatives: Clay, DataGroomr, Dedupely, Validity
Perplexity SonarInsycle alternatives: Cloudingo, DemandTools, Openprise, Tofu, ZoomInfo OperationsOS
Grok 4.20Insycle alternatives: Dedupely, DemandTools
Mistral SmallInsycle
DeepSeek V4 FlashInsycle alternatives: Cloudingo, Dedupely, DemandTools
Kimi K2Insycle alternatives: Cloudingo, Dedupely, DemandTools
GPT-6 LunaInsycle alternatives: Cloudingo, DemandTools
Muse Glimmer 30BInsycle alternatives: Dedupely, DemandTools

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.
Cleanlist0%#– of 11
OpenRefine0%#10 of 11
The full small business standing →
Mid-marketThe figures above
Cleanlist leads by two points.
Cleanlist4%#4 of 13
OpenRefine2%#7 of 13
The full mid-market standing →
Enterprise
Cleanlist is not named for this buyer.
Cleanlist—not named
OpenRefine0%#– of 11
The full enterprise standing →

What the models said about Cleanlist

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

“The best CRM data quality and deduplication tool for a mid-market B2B company is Cleanlist” Llama 4 Maverick · direct prompt · first choice
“Verdict: Best Overall for Mid-Market” Qwen 3.7 Flash · direct prompt · first choice
“If you already use Cleanlist for enrichment and want bundled hygiene, Cleanlist AI simplifies your stack.” GLM 4.7 FlashX · direct prompt · alternative

What the models said about OpenRefine

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

“Free Manual Tools (OpenRefine, Excel-based solutions) ... These tools create a false sense of security.” Kimi K2 · negative prompt · hard negative
“Avoid relying solely on manual export/import cycles using tools like Excel or OpenRefine” MiniMax M2.5 · negative prompt · hard negative
“OpenRefine is described as "Bulk deduplication and text normalization on exported CSV files" with the core limitations being "No CRM connection, no automation, no enrichment, learning curve required"” Muse Glimmer 30B · negative prompt · soft negative
“use free OpenRefine for occasional bulk cleanup” GPT-6 Luna · budget prompt · first choice
“OpenRefine (Completely Free): Best if you want zero cost and can handle manual processes.” Grok 4.20 · budget prompt · alternative
“For technical teams on zero budget: OpenRefine for one-time cleanup of exported data” Claude Haiku 4.5 · budget prompt · alternative
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.