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Email verification · September 2026 Edition

EmailListVerify vs DeBounce

Zero of twelve models named EmailListVerify first on the direct prompt; zero named DeBounce. EmailListVerify was named by ten of the twelve models and DeBounce by nine and EmailListVerify carries 20 labels and DeBounce 17, so the shares are not directly comparable.

EmailListVerify

accepted challenger

Named in one category this edition.

DeBounce

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 rate10%12%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#6#7A position in a field of 11; printed, not drawn.
Labels2017A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, EmailListVerify 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 EmailListVerify · ZeroBounce vs DeBounce · Bouncer vs EmailListVerify

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.
EmailListVerifyFirst choices, of twelve modelsDeBounce
Direct00
Paraphrase00
Comparative001 against EmailListVerify · 1 against DeBounce
Budget-constrained22
Scale-constrained00
Negative001 against EmailListVerify · 1 against DeBounce
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, EmailListVerify and DeBounce were named in the same answer twenty-two times, of the 49 answers naming EmailListVerify and the 48 naming DeBounce. In those answers DeBounce took the first choice one time and EmailListVerify one.

Every model, every framing

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

The direct prompt

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

Neither was the first choice, one was named

1 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Qwen 3.7 FlashZeroBounce alternatives: Bouncer, EmailListVerify, Kickbox, MillionVerifier

Neither was named

11 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
Grok 4.1 FastHunter, ZeroBounce alternatives: Bouncer, Clearout, Kickbox
Mistral SmallZeroBounce alternatives: Bouncer, Clearout, Hunter, NeverBounce
DeepSeek V4 FlashBouncer alternatives: Hunter, NeverBounce, ZeroBounce
Llama 4 MaverickClearout, Hunter, Kickbox
Kimi K2ZeroBounce alternatives: Bouncer, Clearout, Hunter
GLM 4.7 FlashXClearout alternatives: Hunter, Kickbox
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
EmailListVerify leads by two points.
EmailListVerify4%#6 of 10
DeBounce2%#9 of 10
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
EmailListVerify4%#6 of 11
DeBounce4%#7 of 11
The full mid-market standing →
Enterprise
Level: the same share of first choices.
EmailListVerify0%#– of 9
DeBounce0%#– of 9
The full enterprise standing →

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

What the models said about DeBounce

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

“Best for: Cost-sensitive users (accuracy may vary)” Mistral Small · comparative prompt · soft negative
“DeBounce: 94.0% real accuracy” Kimi K2 · negative prompt · soft negative
“For most businesses, DeBounce or MyEmailVerifier offer the best balance of cost, accuracy, and features.” MiniMax M2.5 · budget prompt · first choice
“DeBounce – Best Overall Value ... one of the cheapest rates available” Kimi K2 · budget prompt · first choice
“DeBounce — Best for Bulk List Cleaning ... aggressive bulk pricing while maintaining industry-standard accuracy” Qwen 3.7 Flash · 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.