Zero of fourteen models named HubSpot Sales Hub first on the direct prompt; zero named Salesforce Revenue Intelligence. HubSpot Sales Hub was named by fourteen of the fourteen models and Salesforce Revenue Intelligence by twelve and HubSpot Sales Hub carries 39 labels and Salesforce Revenue Intelligence 21, so the shares are not directly comparable.
By HubSpot, Cambridge, United States, founded 2006. Named in twenty-two categories this edition.
By Salesforce, San Francisco, United States, founded 1999. Named in two 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 4.1 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.
“Start here: If you're already on HubSpot or Salesforce, activate the native forecasting features first (HubSpot Sales Hub Professional or Einstein)” DeepSeek V4 Flash · paraphrase prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“adding Salesforce Revenue Intelligence is often highly redundant and far less flexible” Gemini 3.5 Flash · negative prompt · hard negative
“What to Avoid ... Requires Salesforce ecosystem” Kimi K2 · budget prompt · hard negative
“Users find the steep learning curve daunting, struggling with complex setups and mobile UX challenges... Users find the product expensive” Muse Glimmer 30B · negative prompt · soft negative
“my default pick is: 1) Salesforce Revenue Intelligence if you already live in Salesforce” GPT-5.4 mini · budget prompt · first choice
“Try Salesforce's native forecasting and pipeline tools first. Revenue Intelligence adds analytics and forecast features” GPT-6 Luna · paraphrase prompt · alternative
“If you are a heavily customized Salesforce shop, keeping your data native inside Sales Cloud avoids security reviews” Gemini 3.5 Flash · scale prompt · alternative
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.