ZeroBounce vs Clearout
Thirteen of fourteen models named ZeroBounce first on the direct prompt; zero named Clearout. ZeroBounce was named by fourteen of the fourteen models and Clearout by nine and ZeroBounce carries 63 labels and Clearout 18, so the shares are not directly comparable.
Named in four categories this edition.
Named in three categories this edition.
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
ZeroBounceFirst choices, of fourteen modelsClearout
Across every category in the November 2026 Edition, ZeroBounce and Clearout were named in the same answer forty-three times, of the 273 answers naming ZeroBounce and the 51 naming Clearout. In those answers Clearout took the first choice three times and ZeroBounce twenty-one.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| 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 | | | | |
ZeroBounce Clearout first choice named as an alternative argued againstblank: not namedEach cell is one answer, ZeroBounce on the left and Clearout on the right.The direct prompt
ZeroBounce first, Clearout an alternative
13 of 14 modelsClearout was named in the answer but not as the choice, or not at all.Neither was named
1 of 14 modelsThe answer made no first choice from these two in this category.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
ZeroBounce30%#1 of 11Clearout2%#8 of 11ZeroBounce47%#1 of 11Clearout2%#8 of 11ZeroBounce69%#1 of 9Clearout0%#8 of 9What the models said about ZeroBounce
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Competing platforms, including ZeroBounce, NeverBounce, Kickbox, and Bouncer, charge $0.008 per verification or higher.” Claude Haiku 4.5 · budget prompt · soft negative
“More expensive per-credit than the budget leaders; only worthwhile if you need the extra features” DeepSeek V4 Flash · budget prompt · soft negative
“Choose ZeroBounce if you want an all-in-one deliverability suite with top-tier security and spam-trap detection.” Gemini 3.5 Flash · comparative prompt · first choice
“For most mid-market B2B companies, ZeroBounce offers the best balance of accuracy, features, and pricing.” MiniMax M2.5 · direct prompt · first choice
“ZeroBounce is widely considered the best email verification service for a mid-market B2B company.” Qwen 3.7 Flash · direct prompt · first choice
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
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.