Dedupely vs Cleanlist
Zero of fourteen models named Dedupely first on the direct prompt; three named Cleanlist. Dedupely was named by thirteen of the fourteen models and Cleanlist by ten and Dedupely carries 22 labels and Cleanlist 28, so the shares are not directly comparable.
Named in one category this edition.
Named in three categories this edition.
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
DedupelyFirst choices, of fourteen modelsCleanlist
Across every category in the October 2026 Edition, Dedupely and Cleanlist were named in the same answer seventeen times, of the 56 answers naming Dedupely and the 99 naming Cleanlist. In those answers Cleanlist took the first choice three times and Dedupely two.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | |||||
| GPT-5.4 mini | | |||||
| Gemini 3.5 Flash | | |||||
| Perplexity Sonar | | | | |||
| Grok 4.1 Fast | | | | |||
| 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 Cleanlist first choice named as an alternative argued againstblank: not namedEach cell is one answer, Dedupely on the left and Cleanlist on the right.The direct prompt
Cleanlist first, Dedupely not the choice
3 of 14 modelsDedupely was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
5 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
6 of 14 modelsThe answer made no first choice from these two in this category.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
Dedupely17%#2 of 13Cleanlist9%#3 of 13What the models said about Dedupely
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“but G2 notes it has limited data management functionality compared with fuller platforms” GPT-5.4 mini · budget prompt · soft negative
“Fuzzy matching reliant tools: Dedupely, Cloudingo, etc., need careful ruleset tuning” Grok 4.1 Fast · negative prompt · soft negative
“Good value, but lighter on continuous quality features” DeepSeek V4 Flash · scale prompt · soft negative
“Dedupely looks like a good budget pick: its published pricing starts at $19/month for up to 30,000 CRM records” GPT-6 Luna · budget prompt · first choice
“the strongest fit in the results is Dedupely for HubSpot/Pipedrive users or DemandTools for Salesforce users” Perplexity Sonar · budget prompt · first choice
“Dedupely - Best Overall Value ... Choose Dedupely for CRM-integrated deduplication at $19-40/month” GLM 4.7 FlashX · budget prompt · first choice
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 four in this category shown.
“Cleanlist stands out as the best overall solution due to its affordability, ease of use, and comprehensive feature set” Mistral Small · direct prompt · first choice
“the best data quality tools for RevOps and CRM teams in 2026 are Cleanlist for verified enrichment and cleansing” Muse Glimmer 30B · comparative prompt · first choice
“The best CRM data quality and deduplication tool for a mid-market B2B company is Cleanlist” Llama 4 Maverick · direct prompt · first choice
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.