MXToolbox vs MailReach
Zero of fourteen models named MXToolbox first on the direct prompt; zero named MailReach. MXToolbox was named by thirteen of the fourteen models and MailReach by ten and MXToolbox carries 32 labels and MailReach 25, so the shares are not directly comparable.
Named in one category 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.
By framing
MXToolboxFirst choices, of fourteen modelsMailReach
Across every category in the November 2026 Edition, MXToolbox and MailReach were named in the same answer twenty-eight times, of the 80 answers naming MXToolbox and the 59 naming MailReach. In those answers MailReach took the first choice one time and MXToolbox three.
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 | | | | |
MXToolbox MailReach first choice named as an alternative argued againstblank: not namedEach cell is one answer, MXToolbox on the left and MailReach on the right.The direct prompt
Neither was the first choice, one was named
6 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
8 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
MXToolbox5%#6 of 15MailReach4%#8 of 15MXToolbox2%#5 of 19MailReach2%#6 of 19MXToolbox0%#16 of 17MailReach0%#17 of 17What the models said about MXToolbox
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Blocklist-only monitors such as MXToolbox or Heatwave: a clean result does not mean good deliverability” Perplexity Sonar · negative prompt · soft negative
“basic free blocklist checkers (in isolation) ... Over-reliance can give false confidence.” Grok 4.20 · negative prompt · soft negative
“start with Google Postmaster Tools and MXToolbox, which are both free and cover the most common starting points” Claude Haiku 4.5 · budget prompt · first choice
“Use free tools (Google Postmaster, MXToolbox, Microsoft SNDS) for monitoring” MiniMax M2.5 · negative prompt · first choice
“Start with free tools like MXToolbox and Google Postmaster for diagnostics.” Grok 4.20 · comparative prompt · first choice
What the models said about MailReach
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“MailReach helps discover domains and draft outreach, though its verification isn't independently validated.” Muse Glimmer 30B · negative prompt · soft negative
“Often criticized for superficial insights ... followed by heavy upselling” Grok 4.20 · negative prompt · soft negative
“Best Overall Recommendation: MailReach” Claude Haiku 4.5 · paraphrase prompt · first choice
“an email deliverability monitoring and warm-up platform that combines inbox placement testing, domain reputation tracking, and automated warm-up” Claude Haiku 4.5 · comparative prompt · alternative
“MailReach is the alternative when the priority is outbound cold email warm-up + placement bundled together” Muse Glimmer 30B · paraphrase 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.