Zero of fourteen models named MillionVerifier first on the direct prompt; zero named Hunter Email Verifier. MillionVerifier was named by twelve of the fourteen models and Hunter Email Verifier by fourteen and MillionVerifier carries 20 labels and Hunter Email Verifier 29, so the shares are not directly comparable.
Named in two categories this edition.
By Hunter.io, United States, founded 2015. Named in one category 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 email verification page.
Across every category in the October 2026 Edition, MillionVerifier and Hunter Email Verifier were named in the same answer nineteen times, of the 53 answers naming MillionVerifier and the 92 naming Hunter Email Verifier. In those answers Hunter Email Verifier took the first choice three times and MillionVerifier 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. Six of eight in this category shown.
“MillionVerifier is the one most often singled out with documented false positives and billing complaints — proceed with caution there.” DeepSeek V4 Flash · negative prompt · hard negative
“MillionVerifier and EmailListVerify offer the lowest cost per 10k emails but lack advanced deliverability features” Muse Glimmer 30B · budget prompt · soft negative
“Budget/low-cost options like EmailListVerify, MillionVerifier, and DeBounce - Approach with caution” Grok 4.1 Fast · negative prompt · soft negative
“Choose MillionVerifier if you have a very large list (e.g., 10k+) to clean at once and want the lowest bulk price.” Qwen 3.7 Flash · budget prompt · first choice
“MillionVerifier – Best Overall Value ... If you need the absolute lowest cost: Go with MillionVerifier” DeepSeek V4 Flash · budget prompt · first choice
“Start with MillionVerifier – 100 free credits to test, then pay-as-you-go with no expiration” Kimi K2 · budget prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Be cautious for pure verification ... better as a combo tool than standalone verifier.” Grok 4.1 Fast · negative prompt · soft negative
“Using Hunter for mass cleaning is often overpriced and yields lower accuracy stats.” Qwen 3.7 Flash · negative prompt · soft negative
“Best All-Rounder: Hunter.io ... is the strongest recommendation for mid-sized teams looking to consolidate tools.” Qwen 3.7 Flash · paraphrase prompt · first choice
“The most consistently reliable tier ... is NeverBounce, ZeroBounce, Hunter, and Bouncer” DeepSeek V4 Flash · negative prompt · first choice
“the best choice is usually MillionVerifier or Hunter's free plan” GPT-5.4 mini · 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.