Zero of fourteen models named Brevo first on the direct prompt; zero named WATI. Both were named by all fourteen models and Brevo carries 26 labels and WATI 28, so the shares are not directly comparable.
Paris, France, founded 2012. Named in twelve 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 SMS and WhatsApp marketing platforms page.
| 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 |
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.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“I'd recommend starting with SimpleTexting or Brevo as they offer the best balance of affordability and essential features.” MiniMax M2.5 · budget prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“WATI has limited AI agents, limited cross-channel coverage, and no built-in conversion attribution reporting” Claude Haiku 4.5 · negative prompt · soft negative
“the best text message and WhatsApp marketing tool for a mid-sized B2B company would be WATI” Llama 4 Maverick · paraphrase prompt · first choice
“Examples of reliable BSPs include WATI, Interakt, and Trengo.” Qwen 3.7 Flash · negative prompt · first choice
“Top Recommendation: Wati or Respond.io” GLM 4.7 FlashX · 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.