Email verification · September 2026 Edition
ZeroBounce vs Hunter
Six of twelve models named ZeroBounce first on the direct prompt; two named Hunter. Both were named by all twelve models and ZeroBounce carries 53 labels and Hunter 39, so the shares are not directly comparable.
Named in three categories this edition.
By Hunter.io, United States, founded 2015. Named in five categories this edition.
First-choice share29%10%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate8%10%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#3A position in a field of 11; printed, not drawn.
Labels5339A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, ZeroBounce reading right to left. Rank and label count are printed, not drawn.Bouncer was named alongside these two in eight of the twelve direct answers. ZeroBounce vs Bouncer · Bouncer vs Hunter
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.
By framing
How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
ZeroBounceFirst choices, of twelve modelsHunter
Direct621 against Hunter
Paraphrase72
Comparative311 against Hunter
Budget-constrained112 against ZeroBounce
Scale-constrained10
Negative222 against ZeroBounce · 2 against Hunter
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.
The direct prompt
The plain question, one answer per model, grouped by where ZeroBounce and Hunter stood in it.
Both were the first choice
1 of 12 modelsThe answer named them together, and the judge labeled each a first choice.Grok 4.1 FastHunter, ZeroBounce alternatives: Bouncer, Clearout, Kickbox
ZeroBounce first, Hunter an alternative
5 of 12 modelsHunter was named in the answer but not as the choice, or not at all.GPT-5.4 miniZeroBounce alternatives: Hunter
Mistral SmallZeroBounce alternatives: Bouncer, Clearout, Hunter, NeverBounce
Qwen 3.7 FlashZeroBounce alternatives: Bouncer, EmailListVerify, Kickbox, MillionVerifier
Kimi K2ZeroBounce alternatives: Bouncer, Clearout, Hunter
MiniMax M2.5ZeroBounce alternatives: Hunter
Hunter first, ZeroBounce not the choice
1 of 12 modelsZeroBounce was named in the answer but not as the choice, or not at all.Llama 4 MaverickClearout, Hunter, Kickbox
Neither was the first choice, one was named
5 of 12 modelsThe answer put something else first and named one of the two as an alternative.Claude Haiku 4.5Bouncer, Skrapp alternatives: NeverBounce, ZeroBounce
Gemini 3.5 FlashBouncer alternatives: Allegrow, BounceBan, NeverBounce, ZeroBounce
Perplexity SonarBouncer alternatives: Hunter, MillionVerifier, ZeroBounce
DeepSeek V4 FlashBouncer alternatives: Hunter, NeverBounce, ZeroBounce
GLM 4.7 FlashXClearout alternatives: Hunter, Kickbox
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
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Hunter leads by seven points.
Hunter13%#2 of 10ZeroBounce7%#3 of 10Mid-marketThe figures above
The order flips: ZeroBounce leads at mid-market.
ZeroBounce29%#1 of 11Hunter10%#3 of 11Enterprise
ZeroBounce leads by forty-five points.
ZeroBounce51%#1 of 9Hunter6%#3 of 9What the models said about ZeroBounce
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Several providers (ZeroBounce, NeverBounce, Bouncer's monthly credits) expire credits, which punishes infrequent users” DeepSeek V4 Flash · budget prompt · soft negative
“Be Cautious About: Overpriced "Legacy" Providers... ZeroBounce charges up to $129 per 10,000 verifications” Gemini 3.5 Flash · negative prompt · soft negative
“premium enterprise tools like ZeroBounce charge ~$129 for 10,000 verifications” Gemini 3.5 Flash · budget prompt · soft negative
“Well-regarded alternatives with stronger track records in recent independent testing include Bouncer, ZeroBounce, Kickbox, and NeverBounce” Kimi K2 · negative prompt · first choice
“ZeroBounce (Best overall balance for mid-market) ... ZeroBounce for robust list hygiene + extras (top G2 pick for mid-market)” Grok 4.1 Fast · direct prompt · first choice
“ZeroBounce — Best Overall for Mid-Market ... Choose ZeroBounce if you want the safest bet with proven mid-market fit” Kimi K2 · direct prompt · first choice
What the models said about Hunter
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
Comparisons are drawn for the top three products in each category. The output is the models' output; nothing here is a recommendation by the index.