Clay vs Cleanlist
One of twelve models named Clay first on the direct prompt; two named Cleanlist. Clay was named by eleven of the twelve models and Cleanlist by eight and Clay carries 41 labels and Cleanlist 20, so the shares are not directly comparable.
Named in nine categories this edition.
Named in six categories this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 data enrichment page.
By framing
ClayFirst choices, of twelve modelsCleanlist
Across every category in the September 2026 Edition, Clay and Cleanlist were named in the same answer forty-one times, of the 257 answers naming Clay and the 140 naming Cleanlist. In those answers Cleanlist took the first choice nine times and Clay zero.
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 | | | |
Clay Cleanlist first choice named as an alternative argued againstblank: not namedEach cell is one answer, Clay on the left and Cleanlist on the right.The direct prompt
Clay first, Cleanlist not the choice
1 of 12 modelsCleanlist was named in the answer but not as the choice, or not at all.Cleanlist first, Clay an alternative
2 of 12 modelsClay was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
5 of 12 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
4 of 12 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
What the models said about Clay
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of six in this category shown.
“Clay provides maximum enrichment flexibility across 100+ data providers but requires a dedicated RevOps engineer to manage it.” Llama 4 Maverick · comparative prompt · soft negative
“Accuracy varies because it inherits each underlying provider's quality, and costs can escalate quickly” DeepSeek V4 Flash · negative prompt · soft negative
“It has a steep learning curve... you can burn through your monthly credits very quickly.” Gemini 3.5 Flash · budget prompt · soft negative
“an orchestrator (like Clay) that lets you stack databases... Tools like Clay and Amplemarket excel at this "AI-agent" level of custom enrichment.” Gemini 3.5 Flash · scale prompt · first choice
“Clay chains together over 150 different data providers... Tools like Clay have shifted the market toward "waterfall" routing” Gemini 3.5 Flash · comparative prompt · first choice
“1. Clay — Best for: Tech-forward teams who want the highest data accuracy via "Waterfall" Enrichment” Gemini 3.5 Flash · direct prompt · first choice
What the models said about Cleanlist
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.