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Email verification · September 2026 Edition

Kickbox vs EmailListVerify

One of twelve models named Kickbox first on the direct prompt; zero named EmailListVerify. Kickbox was named by twelve of the twelve models and EmailListVerify by ten and Kickbox carries 27 labels and EmailListVerify 20, so the shares are not directly comparable.

Kickbox

accepted challenger

Named in one category this edition.

EmailListVerify

accepted challenger

Named in one category this edition.

First-choice share4%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%10%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#6A position in a field of 11; printed, not drawn.
Labels2720A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Kickbox reading right to left. Rank and label count are printed, not drawn.ZeroBounce was named alongside these two in ten of the twelve direct answers. ZeroBounce vs Kickbox · ZeroBounce vs EmailListVerify · Bouncer vs Kickbox

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.
KickboxFirst choices, of twelve modelsEmailListVerify
Direct10
Paraphrase10
Comparative001 against EmailListVerify
Budget-constrained02
Scale-constrained00
Negative101 against EmailListVerify
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.

Across every category in the September 2026 Edition, Kickbox and EmailListVerify were named in the same answer twenty-five times, of the 88 answers naming Kickbox and the 49 naming EmailListVerify. In those answers EmailListVerify took the first choice one time and Kickbox two.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where Kickbox and EmailListVerify stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
Kickbox EmailListVerify first choice named as an alternative argued againstblank: not namedEach cell is one answer, Kickbox on the left and EmailListVerify on the right.

The direct prompt

The plain question, one answer per model, grouped by where Kickbox and EmailListVerify stood in it.

Kickbox first, EmailListVerify not the choice

1 of 12 modelsEmailListVerify 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

3 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Grok 4.1 FastHunter, ZeroBounce alternatives: Bouncer, Clearout, Kickbox
Qwen 3.7 FlashZeroBounce alternatives: Bouncer, EmailListVerify, Kickbox, MillionVerifier
GLM 4.7 FlashXClearout alternatives: Hunter, Kickbox

Neither was named

8 of 12 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Bouncer, Skrapp alternatives: NeverBounce, ZeroBounce
GPT-5.4 miniZeroBounce alternatives: Hunter
Gemini 3.5 FlashBouncer alternatives: Allegrow, BounceBan, NeverBounce, ZeroBounce
Perplexity SonarBouncer alternatives: Hunter, MillionVerifier, ZeroBounce
Mistral SmallZeroBounce alternatives: Bouncer, Clearout, Hunter, NeverBounce
DeepSeek V4 FlashBouncer alternatives: Hunter, NeverBounce, ZeroBounce
Kimi K2ZeroBounce alternatives: Bouncer, Clearout, Hunter
MiniMax M2.5ZeroBounce alternatives: Hunter

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
Level: the same share of first choices.
Kickbox4%#5 of 10
EmailListVerify4%#6 of 10
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
Kickbox4%#5 of 11
EmailListVerify4%#6 of 11
The full mid-market standing →
Enterprise
Kickbox leads by four points.
Kickbox4%#5 of 9
EmailListVerify0%#– of 9
The full enterprise standing →

What the models said about Kickbox

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.

“The best email verification service for a mid-market B2B company is Hunter, Clearout, or Kickbox” Llama 4 Maverick · direct prompt · first choice
“or Kickbox if you want point-of-entry validation integrated into your existing tech stack.” Claude Haiku 4.5 · paraphrase prompt · first choice
“include Bouncer, ZeroBounce, Kickbox, and NeverBounce” Kimi K2 · negative prompt · first choice

What the models said about EmailListVerify

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.

“A classic budget option, though some independent audits show lower accuracy than top-tier competitors.” Qwen 3.7 Flash · comparative prompt · soft negative
“EmailListVerify: 93.2% real accuracy (lowest tested)” Kimi K2 · negative prompt · soft negative
“the best choice is usually EmailListVerify if you want the lowest cost per verification” Perplexity Sonar · budget prompt · first choice
“For the absolute lowest cost: Choose EmailListVerify at $24 for 10K emails.” Mistral Small · budget prompt · first choice
“the budget option on this list and delivers accordingly, with free supplementary tools adding real value” Claude Haiku 4.5 · budget prompt · alternative
Also compared

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.