Lob vs Mailjoy
Zero of twelve models named Lob first on the direct prompt; zero named Mailjoy. Lob was named by twelve of the twelve models and Mailjoy by eleven and Lob carries 48 labels and Mailjoy 19, so the shares are not directly comparable.
Lob
criticized challengerNamed 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 twelve 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 print page.
By framing
Across every category in the September 2026 Edition, Lob and Mailjoy were named in the same answer forty-four times, of the 154 answers naming Lob and the 55 naming Mailjoy. In those answers Mailjoy took the first choice four times and Lob six.
Every model, every framing
| Model | DirectLO | ParaphraseLO | ComparativeLO | Budget-constrainedLO | Scale-constrainedLO | NegativeLO |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | LO | | ||||
| GPT-5.4 mini | LO | LO | ||||
| Gemini 3.5 Flash | LO | LO | LO | LO | LO | |
| Perplexity Sonar | LO | LO | LO | LO | ||
| Grok 4.1 Fast | LO | LO | LO | LO | LO | LO |
| Mistral Small | LO | LO | | LO | ||
| DeepSeek V4 Flash | LO | LO | LO | LO | LO | LO |
| Llama 4 Maverick | | |||||
| Qwen 3.7 Flash | LO | LO | | LO | ||
| Kimi K2 | LO | LO | LO | LO | LO | LO |
| GLM 4.7 FlashX | LO | LO | | LO | ||
| MiniMax M2.5 | LO | LO | LO | LO |
MailjoyLO first choiceLO named as an alternativeLO argued againstblank: not namedEach cell is one answer, Lob on the left and Mailjoy on the right.The direct prompt
Neither was the first choice, one was named
8 of 12 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
4 of 12 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
What the models said about Lob
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Platforms to Avoid on a Tight Budget- Lob — Great API, but the $260–550/month platform fee” DeepSeek V4 Flash · budget prompt · hard negative
“SaaS "Subscription Traps" to Avoid on a Budget ... they are not ideal for tight budgets” Gemini 3.5 Flash · budget prompt · hard negative
“Steep Learning Curve: Complex API documentation and lack of guidance for non-developers” GLM 4.7 FlashX · negative prompt · hard negative
“Postalytics or Lob are strong starting points if you want CRM-connected marketing automation” Kimi K2 · scale prompt · first choice
“1. Lob - API-First Platform ... Lob - Complete REST API, webhook support, postal IQ routing” GLM 4.7 FlashX · comparative prompt · first choice
“Choose PostGrid or Lob if you want API-first, developer-controlled automation” Perplexity Sonar · comparative prompt · first choice
What the models said about Mailjoy
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“pricing traps for your size: Mailjoy, Click2Mail, Printfection ... likely lack the governance, API depth, and attribution you need” DeepSeek V4 Flash · scale prompt · soft negative
“Mailform, Mailjoy, and similar lightweight tools if you need enterprise governance, complex approvals, or robust automation” Perplexity Sonar · negative prompt · soft negative
“If you want free/cheap testing: Start with Mailjoy or Postalytics free plan” Mistral Small · budget prompt · first choice
“if you are looking for a platform with a simple, self-serve interface, Mailjoy or Click2Mail may be more suitable” Llama 4 Maverick · negative prompt · alternative
“You want simple, self-serve postcards/letters: → Mailjoy or Click2Mail” Qwen 3.7 Flash · 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.