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Email verification · October 2026 Edition

MillionVerifier vs DeBounce

Zero of fourteen models named MillionVerifier first on the direct prompt; zero named DeBounce. MillionVerifier was named by twelve of the fourteen models and DeBounce by eleven and both carry 20 labels, so the shares below are directly comparable.

MillionVerifier

criticized challenger

Named in two categories this edition.

DeBounce

accepted challenger

Named in two categories this edition.

First-choice share9%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate30%15%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#6A position in a field of 10; printed, not drawn.
Labels2020Equal, which is what makes the shares comparable.
The two percentage rows are drawn on one 0 to 100 track, MillionVerifier reading right to left. Rank and label count are printed, not drawn.ZeroBounce was named alongside these two in fourteen of the fourteen direct answers. ZeroBounce vs MillionVerifier · ZeroBounce vs DeBounce · Bouncer vs MillionVerifier

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.
MillionVerifierFirst choices, of fourteen modelsDeBounce
Direct00
Paraphrase001 against MillionVerifier
Comparative001 against DeBounce
Budget-constrained522 against MillionVerifier
Scale-constrained00
Negative013 against MillionVerifier · 2 against DeBounce
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 October 2026 Edition, MillionVerifier and DeBounce were named in the same answer seventeen times, of the 53 answers naming MillionVerifier and the 49 naming DeBounce. In those answers DeBounce took the first choice one time and MillionVerifier one.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where MillionVerifier 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
GPT-6 Luna
Muse Glimmer 30B
MillionVerifier DeBounce first choice named as an alternative argued againstblank: not namedEach cell is one answer, MillionVerifier on the left and DeBounce on the right.

The direct prompt

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

Neither was the first choice, one was named

2 of 14 modelsThe answer put something else first and named one of the two as an alternative.
DeepSeek V4 FlashZeroBounce alternatives: Bouncer, MillionVerifier, NeverBounce
GLM 4.7 FlashXZeroBounce alternatives: Bouncer, DeBounce, Emailable, NeverBounce

Neither was named

12 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Snov.io alternatives: Clearout, Kickbox, ZeroBounce
GPT-5.4 miniZeroBounce alternatives: Bouncer, Kickbox
Gemini 3.5 FlashBouncer alternatives: Allegrow, Findymail, Scrubby, ZeroBounce
Perplexity SonarBouncer alternatives: Prospeo, ZeroBounce
Grok 4.1 FastZeroBounce alternatives: Clearout, Hunter Email Verifier, Kickbox, NeverBounce
Mistral SmallNeverBounce, ZeroBounce alternatives: Prospeo, Snov.io
Llama 4 MaverickZeroBounce alternatives: Clearout, Emailable, Hunter Email Verifier
Qwen 3.7 FlashZeroBounce alternatives: Clearout, NeverBounce
Kimi K2ZeroBounce alternatives: Emailable, Hunter Email Verifier, NeverBounce
MiniMax M2.5ZeroBounce alternatives: Bouncer, Hunter Email Verifier, NeverBounce
GPT-6 LunaZeroBounce alternatives: Bouncer, BriteVerify
Muse Glimmer 30BZeroBounce alternatives: Hunter Email Verifier, NeverBounce, ZoomInfo

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.
MillionVerifier2%#10 of 11
DeBounce2%#9 of 11
The full small business standing →
Mid-marketThe figures above
MillionVerifier leads by five points.
MillionVerifier9%#3 of 10
DeBounce4%#6 of 10
The full mid-market standing →
Enterprise
Level: the same share of first choices.
MillionVerifier0%#8 of 9
DeBounce0%#– of 9
The full enterprise standing →

What the models said about MillionVerifier

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

“MillionVerifier is the one most often singled out with documented false positives and billing complaints — proceed with caution there.” DeepSeek V4 Flash · negative prompt · hard negative
“MillionVerifier and EmailListVerify offer the lowest cost per 10k emails but lack advanced deliverability features” Muse Glimmer 30B · budget prompt · soft negative
“Budget/low-cost options like EmailListVerify, MillionVerifier, and DeBounce - Approach with caution” Grok 4.1 Fast · negative prompt · soft negative
“Choose MillionVerifier if you have a very large list (e.g., 10k+) to clean at once and want the lowest bulk price.” Qwen 3.7 Flash · budget prompt · first choice
“MillionVerifier – Best Overall Value ... If you need the absolute lowest cost: Go with MillionVerifier” DeepSeek V4 Flash · budget prompt · first choice
“Start with MillionVerifier – 100 free credits to test, then pay-as-you-go with no expiration” Kimi K2 · budget prompt · first choice

What the models said about DeBounce

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

“Budget/low-cost options like EmailListVerify, MillionVerifier, and DeBounce - Approach with caution” Grok 4.1 Fast · negative prompt · soft negative
“Services with Hidden "Credit Multipliers" (e.g., DeBounce)” Gemini 3.5 Flash · negative prompt · soft negative
“Cheapest; solid budget pick but lower accuracy on edges.” Grok 4.1 Fast · comparative prompt · soft negative
“Use established API providers like ZeroBounce, Debounce, or Abstract API.” Qwen 3.7 Flash · negative prompt · first choice
“Absolute cheapest one-off clean: DeBounce or BounceCheck at ~$20/10k one-time” Muse Glimmer 30B · budget prompt · first choice
“DeBounce and MillionVerifier are generally considered the best options” Qwen 3.7 Flash · budget prompt · first choice
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.