One of fourteen models named NeverBounce first on the direct prompt; zero named DeBounce. NeverBounce was named by fourteen of the fourteen models and DeBounce by eleven and NeverBounce carries 49 labels and DeBounce 20, so the shares are not directly comparable.
Vancouver, founded 2014. Named in four categories this edition.
Named in two 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.
Across every category in the October 2026 Edition, NeverBounce and DeBounce were named in the same answer thirty-five times, of the 161 answers naming NeverBounce and the 49 naming DeBounce. In those answers DeBounce took the first choice two times and NeverBounce four.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | ||||||
| Grok 4.1 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 |
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.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“After being acquired by ZoomInfo, NeverBounce has faced significant backlash... Price Hikes... Expiring Credits” Gemini 3.5 Flash · negative prompt · hard negative
“Premium services like NeverBounce will often expire your purchased credits after a set timeframe” Gemini 3.5 Flash · budget prompt · soft negative
“The most consistently reliable tier (per multiple 2026 benchmarks) is NeverBounce, ZeroBounce, Hunter, and Bouncer” DeepSeek V4 Flash · negative prompt · first choice
“NeverBounce and ZeroBounce are the most recommended for their accuracy, ease of use, and feature sets.” Mistral Small · direct prompt · first choice
“If accuracy and advanced features are your priority: ZeroBounce or NeverBounce.” GLM 4.7 FlashX · comparative prompt · first choice
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
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.