Zero of fourteen models named Brevo first on the direct prompt; zero named Mailchimp. Brevo was named by thirteen of the fourteen models and Mailchimp by twelve and Brevo carries 20 labels and Mailchimp 21, so the shares are not directly comparable.
Paris, France, founded 2012. Named in twelve categories this edition.
Atlanta, United States, founded 2001. Named in fourteen 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 ecommerce marketing page.
Across every category in the November 2026 Edition, Brevo and Mailchimp were named in the same answer 224 times, of the 479 answers naming Brevo and the 390 naming Mailchimp. In those answers Mailchimp took the first choice twelve times and Brevo thirty-three.
| 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.
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. One of one in this category shown.
“Mailchimp and Klaviyo both provide generous free plans, with Klaviyo being more specialized for ecommerce businesses specifically.” Claude Haiku 4.5 · budget 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.