Goody vs Snappy
Zero of fourteen models named Goody first on the direct prompt; zero named Snappy. Goody was named by fourteen of the fourteen models and Snappy by twelve and Goody carries 39 labels and Snappy 23, so the shares are not directly comparable.
Named in one category this edition.
By Snappy Gifts, New York City, United States, founded 2015. 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 direct mail and gifting platforms page.
By framing
GoodyFirst choices, of fourteen modelsSnappy
Across every category in the November 2026 Edition, Goody and Snappy were named in the same answer forty-one times, of the 103 answers naming Goody and the 68 naming Snappy. In those answers Snappy took the first choice two times and Goody eleven.
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 | | | |
Goody Snappy first choice named as an alternative argued againstblank: not namedEach cell is one answer, Goody on the left and Snappy on the right.The direct prompt
Neither was the first choice, one was named
4 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
10 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
Goody31%#1 of 11Snappy2%#6 of 11Snappy7%#4 of 9Goody0%#9 of 9What the models said about Goody
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Be cautious for cold outbound campaigns because their address collection is described as primarily email-based” Perplexity Sonar · negative prompt · soft negative
“pay-per-gift models such as Goody for small business use ... those scale differently for full ABM programs” Muse Glimmer 30B · direct prompt · soft negative
“B2C/Consumer-First Gifting Platforms (e.g., Goody, Snappy, Thnks) ... Lack of Deep CRM Automation” Gemini 3.5 Flash · negative prompt · soft negative
“Goody is widely considered the best entry-level platform because it requires no minimums, no setup fees, and no recurring subscription costs.” Qwen 3.7 Flash · budget prompt · first choice
“Start with Goody (free) for gifting + Lob (free developer plan) for direct mail” Kimi K2 · budget prompt · first choice
“For a company with a limited budget, Goody is the best overall starting point.” Perplexity Sonar · budget prompt · first choice
What the models said about Snappy
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“B2C/Consumer-First Gifting Platforms (e.g., Goody, Snappy, Thnks) ... Why to be cautious for B2B ABM” Gemini 3.5 Flash · negative prompt · soft negative
“Start with Goody or Snappy. Both have $0 base pricing and addressless gifting” Gemini 3.5 Flash · budget prompt · first choice
“the best corporate gifting tool for a mid-sized B2B company would be Snappy” Llama 4 Maverick · paraphrase prompt · first choice
“The Top Overall Pick for Mid-Sized Companies: Snappy” Qwen 3.7 Flash · paraphrase 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.