Zero of fourteen models named Avoma first on the direct prompt; zero named Pipedrive. Avoma was named by twelve of the fourteen models and Pipedrive by seven and Avoma carries 28 labels and Pipedrive 11, so the shares are not directly comparable.
Named in four categories this edition.
New York City, founded 2010. 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 revenue intelligence and forecasting 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. Two of two in this category shown.
“not ranked among the top platforms. Its features and integration capabilities may not be as robust” Mistral Small · negative prompt · soft negative
“Avoma — cautious if you need forecasting ... scales poorly beyond 50 reps” DeepSeek V4 Flash · negative prompt · soft negative
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“Pipedrive is best for small teams that want simple, affordable forecasting, with pricing starting from approximately $14/user/month” 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.