Eight of fourteen models named Customer.io first on the direct prompt; five named Salesmsg. Customer.io was named by ten of the fourteen models and Salesmsg by thirteen and Customer.io carries 13 labels and Salesmsg 22, so the shares are not directly comparable.
Named in ten categories this edition.
Named in four 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 SMS and WhatsApp marketing platforms page.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | SA | |||||
| Gemini 3.5 Flash | SA | SA | ||||
| Perplexity Sonar | ||||||
| Grok 4.1 Fast | ||||||
| Mistral Small | SA | |||||
| DeepSeek V4 Flash | SA | |||||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | ||||||
| Kimi K2 | SA | SA | SA | |||
| GLM 4.7 FlashX | ||||||
| MiniMax M2.5 | SA | |||||
| GPT-6 Luna | SA | |||||
| Muse Glimmer 30B | SA |
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.
No label in this category carried a quote.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“Best Overall for HubSpot & Mid-Market CRM Teams ... arguably the most seamless, user-friendly, and powerful choice on the market” Gemini 3.5 Flash · direct prompt · first choice
“If I had to pick one for a typical mid-market B2B company, I'd start with Salesmsg.” GPT-5.4 mini · direct prompt · first choice
“Salesmsg, SlickText, or Heymarket are highly recommended for mid-market businesses” Mistral Small · 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.