Print · October 2026 Edition
Lob vs Postie
One of fourteen models named Lob first on the direct prompt; two named Postie. Lob was named by fourteen of the fourteen models and Postie by seven and Lob carries 57 labels and Postie 14, so the shares are not directly comparable.
Named in three categories this edition.
Named in two categories this edition.
First-choice share8%6%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate23%7%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#5A position in a field of 10; printed, not drawn.
Labels5714A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Lob reading right to left. Rank and label count are printed, not drawn.Postalytics was named alongside these two in nine of the fourteen direct answers. Postalytics vs Lob · Postalytics vs Postie · Lob vs Sendoso
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 print page.
By framing
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
LobFirst choices, of fourteen modelsPostie
Direct121 against Lob
Paraphrase001 against Lob
Comparative90
Budget-constrained111 against Lob · 1 against Postie
Scale-constrained20
Negative0010 against Lob
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Lob and Postie stood in it.
| 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 | | | | |
Lob Postie first choice named as an alternative argued againstblank: not namedEach cell is one answer, Lob on the left and Postie on the right.The direct prompt
The plain question, one answer per model, grouped by where Lob and Postie stood in it.
Lob first, Postie not the choice
1 of 14 modelsPostie was named in the answer but not as the choice, or not at all.Kimi K2Lob, Postal alternatives: PFL, Postalytics
Postie first, Lob not the choice
2 of 14 modelsLob was named in the answer but not as the choice, or not at all.Mistral SmallPostie alternatives: PFL, Postalytics
Llama 4 MaverickPostie alternatives: Postal
Neither was the first choice, one was named
8 of 14 modelsThe answer put something else first and named one of the two as an alternative.Claude Haiku 4.5Postalytics alternatives: Lob, Sendoso
Gemini 3.5 FlashReachdesk alternatives: Alyce, Lob, PostGrid, Postal, Postalytics, Sendoso
Grok 4.1 FastSendoso alternatives: Lob, PostGrid Print & Mail
DeepSeek V4 FlashPostalytics alternatives: Lob, PFL, Postal, Postie, Sendoso
Qwen 3.7 FlashSendoso alternatives: CIENCE, Cobro, Lob, PebblePost
GLM 4.7 FlashXPostalytics alternatives: Lob, PostGrid, Postal, Sendoso
GPT-6 LunaPostalytics alternatives: Lob, Postal, Reachdesk
Muse Glimmer 30BPFL - Printing For Less alternatives: Lob, Postal, Postalytics, Reachdesk, Sendoso
Neither was named
3 of 14 modelsThe answer made no first choice from these two in this category.GPT-5.4 miniSendoso alternatives: PFL
Perplexity SonarPostGrid alternatives: Reachdesk
MiniMax M2.5Postalytics alternatives: PFL Direct Mail Platform
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
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Mid-marketThe figures above
Enterprise
What the models said about Lob
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Best Avoid If: You're not technical, need global reach, or budget-sensitive.” Grok 4.1 Fast · negative prompt · hard negative
“Avoid Lob if your marketing team doesn't have engineering support, as there is no visual, marketer-friendly builder out of the box.” Gemini 3.5 Flash · paraphrase prompt · soft negative
“1. Lob - Focus: API-driven platform for automating personalized direct mail ... Strengths: Nationwide Print Delivery Network” Mistral Small · comparative prompt · first choice
“Postal.io or Lob offer the best balance of features, pricing transparency, and scalability for mid-market B2B companies” Kimi K2 · direct prompt · first choice
“Lob — Best for API-First, Developer-Led Mail ... The category leader for API-first (REST API) programmatic direct mail.” DeepSeek V4 Flash · comparative prompt · first choice
What the models said about Postie
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.
“it can be pricey for newer startups ... though it may be less budget-friendly” Mistral Small · budget prompt · soft negative
“For companies with the most limited budgets, Postie and Click2Mail stand out because they offer pay-as-you-go pricing without monthly subscriptions.” Claude Haiku 4.5 · budget prompt · first choice
“Postie - offers performance direct mail for digital marketers, lookalike audiences, and real-time ROAS tracking.” Llama 4 Maverick · direct prompt · first choice
“Postie stands out for its ease of use, performance tracking, and B2B focus” Mistral Small · direct prompt · first choice
Also compared
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.