ZoomInfo vs Lusha
Four of fourteen models named ZoomInfo first on the direct prompt; one named Lusha. ZoomInfo was named by fourteen of the fourteen models and Lusha by thirteen and ZoomInfo carries 69 labels and Lusha 52, so the shares are not directly comparable.
Vancouver, Washington, United States, founded 2000. Named in twenty-six categories this edition.
By Lusha Systems, Boston, United States, founded 2016. Named in five 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 sales intelligence and contact data page.
By framing
ZoomInfoFirst choices, of fourteen modelsLusha
Across every category in the October 2026 Edition, ZoomInfo and Lusha were named in the same answer 253 times, of the 914 answers naming ZoomInfo and the 340 naming Lusha. In those answers Lusha took the first choice twelve times and ZoomInfo forty-five.
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 | | | | | | |
ZoomInfo Lusha first choice named as an alternative argued againstblank: not namedEach cell is one answer, ZoomInfo on the left and Lusha on the right.The direct prompt
ZoomInfo first, Lusha an alternative
4 of 14 modelsLusha was named in the answer but not as the choice, or not at all.Lusha first, ZoomInfo an alternative
1 of 14 modelsZoomInfo was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
9 of 14 modelsThe answer put something else first and named one of the two as an alternative.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
ZoomInfo12%#2 of 9Lusha4%#3 of 9What the models said about ZoomInfo
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“Multiple 2024 securities class actions alleging misleading investors about financial performance and using coercive auto-renewal policies” MiniMax M2.5 · negative prompt · hard negative
“Platform covers data, intent, seller workflow and API access in one platform; most other tools specialize in one or two layers.” Muse Glimmer 30B · comparative prompt · first choice
What the models said about Lusha
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“The credit model can feel like a trap... Users report accuracy has declined, particularly for phone numbers” Claude Haiku 4.5 · negative prompt · hard negative
“For most SMB and mid-market teams, Lusha is the strongest overall pick” Claude Haiku 4.5 · paraphrase 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.