Two of twelve models named Hunter first on the direct prompt; two named Clearout. Hunter was named by twelve of the twelve models and Clearout by ten and Hunter carries 39 labels and Clearout 33, so the shares are not directly comparable.
By Hunter.io, United States, founded 2015. Named in five categories this edition.
Named in two 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 email verification page.
Across every category in the September 2026 Edition, Hunter and Clearout were named in the same answer sixty times, of the 159 answers naming Hunter and the 101 naming Clearout. In those answers Clearout took the first choice three times and Hunter fifteen.
| 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 |
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. Six of eight in this category shown.
“Many prospecting suites (like Hunter.io or Snov.io) bundle email verification into their monthly subscriptions... avoid tools that force you into recurring plans” Gemini 3.5 Flash · negative prompt · soft negative
“Be Cautious With: Services like Hunter.io or Apollo, when used primarily for verification.” Qwen 3.7 Flash · negative prompt · soft negative
“but overpriced as a standalone verifier at ~$14.90/1K” Qwen 3.7 Flash · direct prompt · soft negative
“Hunter ranked highest overall accuracy across small, medium, and large business domains and stands out as an all-in-one outreach platform.” Claude Haiku 4.5 · comparative prompt · first choice
“the tools that consistently ranked best on independent real-world accuracy were Hunter (~70%), Clearout (~68%), and Kickbox (~67%)” DeepSeek V4 Flash · negative prompt · first choice
“Go with Hunter if doing sales prospecting (highest mid/large domain accuracy, bundled tools save costs)” Grok 4.1 Fast · direct prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.
“Clearout: 94.1% real accuracy” Kimi K2 · negative prompt · soft negative
“The best email verification service for a mid-market B2B company is Hunter, Clearout, or Kickbox” Llama 4 Maverick · direct prompt · first choice
“For most mid-market B2B companies, I'd recommend starting with Clearout” GLM 4.7 FlashX · direct prompt · first choice
“would be Hunter, Clearout, or Zerobounce” Llama 4 Maverick · 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.