Lusha vs Cognism
One of fourteen models named Lusha first on the direct prompt; zero named Cognism. Lusha was named by thirteen of the fourteen models and Cognism by fourteen and both carry 52 labels, so the shares below are directly comparable.
By Lusha Systems, Boston, United States, founded 2016. Named in five categories this edition.
Named in eleven 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
LushaFirst choices, of fourteen modelsCognism
Across every category in the October 2026 Edition, Lusha and Cognism were named in the same answer 177 times, of the 340 answers naming Lusha and the 402 naming Cognism. In those answers Cognism took the first choice nineteen times and Lusha six.
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 | | | | |
Lusha Cognism first choice named as an alternative argued againstblank: not namedEach cell is one answer, Lusha on the left and Cognism on the right.The direct prompt
Lusha first, Cognism an alternative
1 of 14 modelsCognism was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
11 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
2 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
Cognism10%#3 of 8Lusha0%#8 of 8What 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
What the models said about Cognism
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.
“and Cognism (expensive, EU-focused) if budget is your primary constraint” DeepSeek V4 Flash · budget prompt · hard negative
“Avoid ZoomInfo and Cognism for now” Kimi K2 · budget prompt · hard negative
“Cognism is particularly known for GDPR/CCPA compliance-first design and Diamond Data phone verification, making it a strong candidate if European markets are a priority.” DeepSeek V4 Flash · scale prompt · first choice
“Cognism: Highly rated for EMEA/UK mobile data (GDPR-compliant, human-verified "Diamond Data")” Qwen 3.7 Flash · negative 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.