Three of fourteen models named Gong first on the direct prompt; zero named Salesforce Revenue Intelligence. Gong was named by fourteen of the fourteen models and Salesforce Revenue Intelligence by twelve and Gong carries 63 labels and Salesforce Revenue Intelligence 21, so the shares are not directly comparable.
By Gong.io, Ramat Gan, Israel, founded 2015. Named in fourteen 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. Three of three in this category shown.
“Avoid Gong if your team is under 15\u201320 reps or if you lack a dedicated Revenue Operations (RevOps) professional” Gemini 3.5 Flash · negative prompt · hard negative
“What to Avoid (Too Expensive for Limited Budgets) ... Enterprise-focused with mandatory platform fees” Kimi K2 · budget prompt · hard negative
“Gong pioneered the category by automatically recording and transcribing sales calls... Best For: Organizations prioritizing deep qualitative analysis of sales conversations and rep coaching.” Qwen 3.7 Flash · comparative 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.