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Email verification · September 2026 Edition

Clearout vs EmailListVerify

Two of twelve models named Clearout first on the direct prompt; zero named EmailListVerify. Clearout was named by ten of the twelve models and EmailListVerify by ten and Clearout carries 33 labels and EmailListVerify 20, so the shares are not directly comparable.

Clearout

accepted challenger

Named in two categories this edition.

EmailListVerify

accepted challenger

Named in one category this edition.

First-choice share6%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate3%10%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#6A position in a field of 11; printed, not drawn.
Labels3320A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Clearout 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 Clearout · ZeroBounce vs EmailListVerify · Bouncer vs Clearout

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.
ClearoutFirst choices, of twelve modelsEmailListVerify
Direct20
Paraphrase10
Comparative001 against EmailListVerify
Budget-constrained02
Scale-constrained00
Negative001 against Clearout · 1 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, Clearout and EmailListVerify were named in the same answer thirty times, of the 101 answers naming Clearout and the 49 naming EmailListVerify. In those answers EmailListVerify took the first choice three times and Clearout one.

Every model, every framing

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

The direct prompt

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

Clearout first, EmailListVerify not the choice

2 of 12 modelsEmailListVerify was named in the answer but not as the choice, or not at all.
Llama 4 MaverickClearout, Hunter, Kickbox
GLM 4.7 FlashXClearout alternatives: Hunter, Kickbox

Neither was the first choice, one was named

4 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
Mistral SmallZeroBounce alternatives: Bouncer, Clearout, Hunter, NeverBounce
Qwen 3.7 FlashZeroBounce alternatives: Bouncer, EmailListVerify, Kickbox, MillionVerifier
Kimi K2ZeroBounce alternatives: Bouncer, Clearout, Hunter

Neither was named

6 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
DeepSeek V4 FlashBouncer alternatives: Hunter, NeverBounce, ZeroBounce
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.
Clearout4%#4 of 10
EmailListVerify4%#6 of 10
The full small business standing →
Mid-marketThe figures above
Clearout leads by two points.
Clearout6%#4 of 11
EmailListVerify4%#6 of 11
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Clearout0%#8 of 9
EmailListVerify0%#– of 9
The full enterprise standing →

What the models said about Clearout

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

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.