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Print · November 2026 Edition

Reachdesk vs Thanks.io

One of fourteen models named Reachdesk first on the direct prompt; zero named Thanks.io. Reachdesk was named by ten of the fourteen models and Thanks.io by nine and Reachdesk carries 22 labels and Thanks.io 10, so the shares are not directly comparable.

Reachdesk

accepted challenger

Named in two categories this edition.

Thanks.io

accepted challenger

founded 2017. Named in two categories this edition.

First-choice share4%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate18%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#6#8A position in a field of 11; printed, not drawn.
Labels2210A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Reachdesk reading right to left. Rank and label count are printed, not drawn.Postalytics was named alongside these two in thirteen of the fourteen direct answers. Postalytics vs Reachdesk · Postalytics vs Thanks.io · PostGrid Print & Mail vs Reachdesk

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.
ReachdeskFirst choices, of fourteen modelsThanks.io
Direct101 against Reachdesk
Paraphrase101 against Reachdesk
Comparative00
Budget-constrained01
Scale-constrained00
Negative002 against Reachdesk
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 Reachdesk and Thanks.io stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
Reachdesk Thanks.io first choice named as an alternative argued againstblank: not namedEach cell is one answer, Reachdesk on the left and Thanks.io on the right.

The direct prompt

The plain question, one answer per model, grouped by where Reachdesk and Thanks.io stood in it.

Reachdesk first, Thanks.io not the choice

1 of 14 modelsThanks.io was named in the answer but not as the choice, or not at all.
Kimi K2Reachdesk alternatives: Lob, PostGrid Print & Mail, Postalytics

Neither was the first choice, one was named

1 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashSendoso alternatives: Lob, Postal, Reachdesk

Neither was named

12 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Postalytics alternatives: Lob, PFL, PostGrid Print & Mail
GPT-5.4 miniSendoso alternatives: PFL Direct Mail Platform, PostGrid Print & Mail, Postalytics
Perplexity SonarPostalytics alternatives: Lob, PostGrid Print & Mail, Sendoso
Grok 4.20PFL, Postalytics alternatives: Lob, PostGrid Print & Mail
Mistral SmallLob, PostGrid Print & Mail alternatives: Postalytics, Postie
DeepSeek V4 FlashPostalytics alternatives: Lob, PostGrid Print & Mail, Sendoso
Llama 4 MaverickPostalytics
Qwen 3.7 FlashPostGrid Print & Mail alternatives: Lob, Postalytics, Sendoso
GLM 4.7 FlashXPostalytics alternatives: DirectMail.io, Lob, PostGrid Print & Mail
MiniMax M2.5Postalytics alternatives: Lob, PFL, Sendoso
GPT-6 LunaPostalytics alternatives: Lob, Sendoso
Muse Glimmer 30BPostalytics, Sendoso alternatives: Lob, PostGrid Print & Mail

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
Level: the same share of first choices.
Reachdesk0%#– of 6
Thanks.io0%#– of 6
The full small business standing →
Mid-marketThe figures above
Reachdesk leads by two points.
Reachdesk4%#6 of 11
Thanks.io2%#8 of 11
The full mid-market standing →
Enterprise
Thanks.io is not named for this buyer.
Reachdesk0%#9 of 10
Thanks.io—not named
The full enterprise standing →

What the models said about Reachdesk

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.

“Reachdesk is currently the top recommendation for outbound gifting and direct mail” Gemini 3.5 Flash · paraphrase prompt · first choice

What the models said about Thanks.io

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.

“Thanks.io — *Best Overall for SMBs & B2B Lead Generation*” Gemini 3.5 Flash · budget prompt · first choice
“Serves API teams and DIY senders, and creates hyper-realistic handwriting indistinguishable from personal notes.” Muse Glimmer 30B · comparative prompt · alternative
“More approachable for smaller, relationship-driven mail programs than a full performance-marketing stack.” GPT-6 Luna · comparative prompt · alternative
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.