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Email verification · November 2026 Edition

NeverBounce vs Clearout

Zero of fourteen models named NeverBounce first on the direct prompt; zero named Clearout. NeverBounce was named by fourteen of the fourteen models and Clearout by nine and NeverBounce carries 46 labels and Clearout 18, so the shares are not directly comparable.

NeverBounce

accepted challenger

Vancouver, founded 2014. Named in five categories this edition.

Clearout

accepted challenger

Named in three categories this edition.

First-choice share2%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate20%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#7#8A position in a field of 11; printed, not drawn.
Labels4618A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, NeverBounce reading right to left. Rank and label count are printed, not drawn.ZeroBounce was named alongside these two in thirteen of the fourteen direct answers. ZeroBounce vs NeverBounce · ZeroBounce vs Clearout · DeBounce vs NeverBounce

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.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
NeverBounceFirst choices, of fourteen modelsClearout
Direct00
Paraphrase101 against NeverBounce
Comparative102 against NeverBounce
Budget-constrained013 against NeverBounce
Scale-constrained00
Negative003 against NeverBounce
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the November 2026 Edition, NeverBounce and Clearout were named in the same answer thirty-two times, of the 178 answers naming NeverBounce and the 51 naming Clearout. In those answers Clearout took the first choice two times and NeverBounce one.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where NeverBounce and Clearout stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.20
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
NeverBounce Clearout first choice named as an alternative argued againstblank: not namedEach cell is one answer, NeverBounce on the left and Clearout on the right.

The direct prompt

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

Neither was the first choice, one was named

8 of 14 modelsThe answer put something else first and named one of the two as an alternative.
GPT-5.4 miniZeroBounce alternatives: Apollo.io, Clearout, Kickbox
Gemini 3.5 FlashZeroBounce alternatives: Bouncer, Kickbox, NeverBounce
Grok 4.20ZeroBounce alternatives: Bouncer, Emailable, Hunter Email Verifier, NeverBounce
DeepSeek V4 FlashZeroBounce alternatives: Bouncer, Kickbox, NeverBounce
Qwen 3.7 FlashZeroBounce alternatives: Bouncer, Kickbox, NeverBounce
MiniMax M2.5ZeroBounce alternatives: Clearout, Kickbox
GPT-6 LunaZeroBounce alternatives: Kickbox, NeverBounce
Muse Glimmer 30BZeroBounce alternatives: Bouncer, Kickbox, NeverBounce

Neither was named

6 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5no first choice
Perplexity SonarZeroBounce alternatives: Bouncer, Kickbox, Prospeo
Mistral SmallZeroBounce alternatives: Bouncer, MillionVerifier
Llama 4 MaverickZeroBounce alternatives: Hunter Email Verifier, Mailercloud Email Verifier
Kimi K2ZeroBounce alternatives: Bouncer, Emailable, Kickbox
GLM 4.7 FlashXZeroBounce alternatives: Bouncer, 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
Clearout leads by two points.
Clearout2%#8 of 11
NeverBounce0%#11 of 11
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
NeverBounce2%#7 of 11
Clearout2%#8 of 11
The full mid-market standing →
Enterprise
The order flips: NeverBounce leads at enterprise.
NeverBounce2%#2 of 9
Clearout0%#8 of 9
The full enterprise standing →

What the models said about NeverBounce

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

“https://www.neverbounce.com/ Again the same.” Muse Glimmer 30B · negative prompt · hard negative
“users complain it misses spam traps/risky emails, has higher costs, and requires add-ons for full features. Some privacy concerns with data handling.” Grok 4.20 · negative prompt · soft negative
“Scalable for higher volumes with concierge support, but minimums might not suit the smallest budgets.” Grok 4.20 · budget prompt · soft negative
“ZeroBounce or NeverBounce represent premium options with robust guarantees and compliance certifications.” MiniMax M2.5 · comparative prompt · first choice
“I recommend ZeroBounce or NeverBounce as your email list validation tool” Mistral Small · paraphrase prompt · first choice
“consider established platforms such as ZeroBounce, NeverBounce, Kickbox, Emailable, Clearout, or BriteVerify” Gemini 3.5 Flash · negative prompt · alternative

What the models said about Clearout

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

“Clearout and DeBounce are the two names most reviewers put at the top for limited-budget companies” Muse Glimmer 30B · budget prompt · first choice
“consider established platforms such as ZeroBounce, NeverBounce, Kickbox, Emailable, Clearout, or BriteVerify” Gemini 3.5 Flash · negative prompt · alternative
“a strong option if you want real-time verification embedded into forms and pipelines” GPT-5.4 mini · direct 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.