Two of fourteen models named ZeroBounce first on the direct prompt; zero named Mail-Tester. ZeroBounce was named by thirteen of the fourteen models and Mail-Tester by eleven and ZeroBounce carries 28 labels and Mail-Tester 27, so the shares are not directly comparable.
Named in four categories this edition.
Named in one category 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 deliverability and testing tools page.
| 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 |
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. Two of two in this category shown.
“Address-verification services such as ZeroBounce, Kickbox, or comparable vendors: treat results as risk estimates, not proof of consent” Perplexity Sonar · negative prompt · soft negative
“"Valid" emails bouncing (both soft and hard bounces); precision issues with certain domains” Kimi K2 · negative prompt · soft negative
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Mail-Tester does one thing well: it runs your email through SpamAssassin and checks your SPF, DKIM, and DMARC records. That's useful. It's also not enough.” Muse Glimmer 30B · negative prompt · soft negative
“Email "spam score" checkers such as Mail-Tester: good for finding technical problems, but a favorable score does not predict inbox placement.” Perplexity Sonar · negative prompt · soft negative
“Use these only as a diagnostic aid, not as a primary decision-making tool.” DeepSeek V4 Flash · negative prompt · soft negative
“Start with Unspam's free tier or Mail-Tester if you need immediate, low-cost testing.” Kimi K2 · budget prompt · first choice
“Instant spam score (0–10) based on content, authentication, and reputation. No signup needed for basic use.” Grok 4.20 · comparative prompt · alternative
“Cited as a best deliverability testing tool in 2026 with a free spam score, real inbox-placement testing” Muse Glimmer 30B · comparative 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.