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CRM data quality and deduplication · November 2026 Edition

Dedupely vs OpenRefine

Zero of fourteen models named Dedupely first on the direct prompt; zero named OpenRefine. Dedupely was named by thirteen of the fourteen models and OpenRefine by ten and Dedupely carries 34 labels and OpenRefine 16, so the shares are not directly comparable.

Dedupely

accepted challenger

Named in one category this edition.

OpenRefine

criticized challenger

Named in three categories this edition.

First-choice share17%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate6%44%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#7A position in a field of 13; printed, not drawn.
Labels3416A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Dedupely 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 Dedupely · Insycle vs OpenRefine · Dedupely vs DemandTools

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.
DedupelyFirst choices, of fourteen modelsOpenRefine
Direct001 against Dedupely
Paraphrase001 against OpenRefine
Comparative001 against Dedupely · 1 against OpenRefine
Budget-constrained811 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.

Across every category in the November 2026 Edition, Dedupely and OpenRefine were named in the same answer fourteen times, of the 89 answers naming Dedupely and the 35 naming OpenRefine. In those answers OpenRefine took the first choice zero times and Dedupely seven.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Dedupely 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
Dedupely OpenRefine first choice named as an alternative argued againstblank: not namedEach cell is one answer, Dedupely on the left and OpenRefine on the right.

The direct prompt

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

Neither was the first choice, one was named

10 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5DemandTools alternatives: Cloudingo, Dedupely, Insycle, LeadAngel, ZoomInfo Operations
Gemini 3.5 FlashInsycle alternatives: Clay, DataGroomr, Dedupely, Validity
Grok 4.20Insycle alternatives: Dedupely, DemandTools
DeepSeek V4 FlashInsycle alternatives: Cloudingo, Dedupely, DemandTools
Llama 4 MaverickCleanlist alternatives: Dedupely, DemandTools, Findymail CRM Datacare, Insycle
Qwen 3.7 FlashCleanlist alternatives: Clay, Dedupely, DemandTools, Insycle
Kimi K2Insycle alternatives: Cloudingo, Dedupely, DemandTools
GLM 4.7 FlashXInsycle alternatives: Cleanlist, Cloudingo, Dedupely, DemandTools
MiniMax M2.5Insycle alternatives: Cleanlist, Cloudingo, Dedupely
Muse Glimmer 30BInsycle alternatives: Dedupely, DemandTools

Neither was named

4 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniInsycle alternatives: Cloudingo, DemandTools, HubSpot Operations Hub
Perplexity SonarInsycle alternatives: Cloudingo, DemandTools, Openprise, Tofu, ZoomInfo OperationsOS
Mistral SmallInsycle
GPT-6 LunaInsycle alternatives: Cloudingo, 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
Dedupely leads by twenty-eight points.
Dedupely28%#2 of 11
OpenRefine0%#10 of 11
The full small business standing →
Mid-marketThe figures above
Dedupely leads by fifteen points.
Dedupely17%#2 of 13
OpenRefine2%#7 of 13
The full mid-market standing →
Enterprise
Dedupely leads by six points.
Dedupely6%#7 of 11
OpenRefine0%#– of 11
The full enterprise standing →

What the models said about Dedupely

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

“Traditional deduplication tools like Dedupely and Insycle "merge records after the fact and lose history,"” Muse Glimmer 30B · comparative prompt · soft negative
“Faster and simpler than a full data-governance platform, but less capable across systems.” Perplexity Sonar · direct prompt · soft negative
“The best CRM data quality and deduplication tool for a company with a limited budget is Dedupely, which starts at $19/month” Llama 4 Maverick · budget prompt · first choice
“If you use HubSpot, Pipedrive, or Salesforce and want quick, affordable deduplication: Choose Dedupely.” Gemini 3.5 Flash · budget prompt · first choice
“If you use Salesforce and want the cheapest practical option: start with Dedupely.” GPT-5.4 mini · budget prompt · first choice

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.