Five of twelve models named Avoma first on the direct prompt; one named BoostUp. Avoma was named by eleven of the twelve models and BoostUp by ten and Avoma carries 31 labels and BoostUp 17, so the shares are not directly comparable.
Named in five categories this edition.
Named in one category 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. One of one in this category shown.
“If you need forecasting and conversation intelligence together without breaking the budget, Avoma or Revenue Grid are strong choices.” Claude Haiku 4.5 · budget prompt · first choice
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
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.