One of twelve models named BoostUp first on the direct prompt; zero named Pipedrive. BoostUp was named by ten of the twelve models and Pipedrive by nine and BoostUp carries 17 labels and Pipedrive 11, so the shares are not directly comparable.
Named in one category this edition.
New York City, founded 2010. Named in thirteen categories this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 4.1 Fast | ||||||
| Mistral Small | ||||||
| DeepSeek V4 Flash | ||||||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | ||||||
| Kimi K2 | ||||||
| GLM 4.7 FlashX | ||||||
| MiniMax M2.5 |
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. Three of four in this category shown.
“I'd recommend BoostUp if you want the best balance of pipeline analytics, AI forecasting, and mid-market fit” Perplexity Sonar · paraphrase prompt · first choice
“Top Recommendation: BoostUp (now Terret.ai) — Best for Mid-Market” Kimi K2 · paraphrase prompt · first choice
“BoostUp / Terret — Best overall for mid-market forecasting” DeepSeek V4 Flash · direct prompt · first choice
No label in this category carried a quote.
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.