Sendoso vs Lob
Three of fourteen models named Sendoso first on the direct prompt; one named Lob. Both were named by all fourteen models and Sendoso carries 41 labels and Lob 57, so the shares are not directly comparable.
Named in two categories this edition.
Named in three 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 print page.
By framing
SendosoFirst choices, of fourteen modelsLob
Across every category in the November 2026 Edition, Sendoso and Lob were named in the same answer 165 times, of the 307 answers naming Sendoso and the 330 naming Lob. In those answers Lob took the first choice thirty-four times and Sendoso thirty-six.
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 | | | |
Sendoso Lob first choice named as an alternative argued againstblank: not namedEach cell is one answer, Sendoso on the left and Lob on the right.The direct prompt
Sendoso first, Lob an alternative
3 of 14 modelsLob was named in the answer but not as the choice, or not at all.Lob first, Sendoso not the choice
1 of 14 modelsSendoso was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
9 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
1 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
Sendoso10%#4 of 11Lob6%#5 of 11Lob46%#1 of 10Sendoso10%#3 of 10What the models said about Sendoso
No label in this category carried a quote.
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.
“Lob - is not recommended for teams that are not technical, need global reach, or are budget-sensitive.” Llama 4 Maverick · negative prompt · hard negative
“It is best avoided if you are not technical, need global reach, or are budget-sensitive.” Mistral Small · negative prompt · hard negative
“Lob — scrutinize total cost and ease of use. G2 reviewers report that costs can become steep at higher volumes, billing can be confusing” GPT-6 Luna · negative prompt · soft negative
“Ranked first by Lister for "teams managing complex direct mail at scale, and uses intelligent routing to speed up delivery and reduce costs."” Muse Glimmer 30B · comparative prompt · first choice
“Tops many lists for API-driven scale, intelligent routing (faster/cheaper delivery), nationwide print network, and address verification.” Grok 4.20 · negative prompt · first choice
“If you have a developer team and need programmatic/transactional mail: Choose Lob or PostGrid for their API maturity and scale.” Gemini 3.5 Flash · comparative 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.