One of fourteen models named HubSpot Breeze Intelligence first on the direct prompt; zero named Lusha. Both were named by all fourteen models and HubSpot Breeze Intelligence carries 52 labels and Lusha 45, so the shares are not directly comparable.
By HubSpot, Cambridge, United States, founded 2006. Named in eleven 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 data enrichment page.
Across every category in the October 2026 Edition, HubSpot Breeze Intelligence and Lusha were named in the same answer ninety-eight times, of the 250 answers naming HubSpot Breeze Intelligence and the 340 naming Lusha. In those answers Lusha took the first choice five times and HubSpot Breeze Intelligence zero.
| 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 |
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. Four of four in this category shown.
“Users report a loss of functionality and flexibility, making it less reliable for those who previously relied on Clearbit's standalone features.” Mistral Small · negative prompt · hard negative
“Reduced functionality: Some features are no longer available or are locked behind HubSpot's ecosystem.” Mistral Small · negative prompt · hard negative
“HubSpot says Breeze does not provide contact email addresses or phone numbers—so it isn’t a replacement for a contact-finding database” GPT-6 Luna · comparative prompt · soft negative
“If I had to pick one default recommendation for a mid-sized B2B company, it would be Clearbit/Breeze Intelligence” GPT-5.4 mini · paraphrase prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of five in this category shown.
“Low email accuracy: Independent checks suggest only about 68% email return at roughly 82% accuracy, which is below industry standards.” Mistral Small · negative prompt · hard negative
“Tools that have faced regulatory actions (e.g., Lusha's Italy fine) should be avoided in sensitive jurisdictions.” GLM 4.7 FlashX · negative prompt · hard negative
“Some users report issues with outdated contact information and relatively high pricing for infrequent use.” Claude Haiku 4.5 · negative prompt · soft negative
“Safer bets from reviews: Tools like Lusha (98% email accuracy, free tier)” Grok 4.1 Fast · negative prompt · first choice
“Apollo.io or Lusha are the right entry points. Both offer free tiers” Claude Haiku 4.5 · budget 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.