Two of fourteen models named Cleanlist first on the direct prompt; zero named ZoomInfo. Cleanlist was named by eight of the fourteen models and ZoomInfo by nine and Cleanlist carries 11 labels and ZoomInfo 15, so the shares are not directly comparable.
Named in three categories this edition.
Vancouver, Washington, United States, founded 2000. Named in fifteen 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.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | ||||||
| Grok 4.20 | ||||||
| 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 |
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.
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
No label in this category carried a quote.
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.