Two of fourteen models named Braze first on the direct prompt; one named Iterable. Braze was named by fourteen of the fourteen models and Iterable by seven and Braze carries 43 labels and Iterable 14, so the shares are not directly comparable.
New York City, United States, founded 2011. Named in eleven categories this edition.
Named in eleven 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 mobile apps page.
Across every category in the October 2026 Edition, Braze and Iterable were named in the same answer 165 times, of the 533 answers naming Braze and the 172 naming Iterable. In those answers Iterable took the first choice two times and Braze forty-six.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | ||||||
| Grok 4.1 Fast | ||||||
| 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.
“For Full-Funnel Orchestration: Braze or Iterable (enterprise-grade journeys, strong B2B use cases)” GLM 4.7 FlashX · direct prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“Braze or Iterable (enterprise-grade journeys, strong B2B use cases)” GLM 4.7 FlashX · direct prompt · first choice
“My Top Recommendation: Iterable or MoEngage” Kimi K2 · paraphrase prompt · first choice
“Best Overall Recommendation: Iterable” Claude Haiku 4.5 · 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.