Zero of fourteen models named Avoma first on the direct prompt; three named Gong Revenue Intelligence Platform. Avoma was named by twelve of the fourteen models and Gong Revenue Intelligence Platform by fourteen and Avoma carries 28 labels and Gong Revenue Intelligence Platform 65, so the shares are not directly comparable.
Named in four categories this edition.
By Gong.io, Ramat Gan, Israel, founded 2015. Named in one category 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.
Across every category in the November 2026 Edition, Avoma and Gong Revenue Intelligence Platform were named in the same answer seventy-seven times, of the 280 answers naming Avoma and the 188 naming Gong Revenue Intelligence Platform. In those answers Gong Revenue Intelligence Platform took the first choice eleven times and Avoma thirty.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | GR | GR | GR | |||
| GPT-5.4 mini | GR | GR | GR | |||
| Gemini 3.5 Flash | GR | GR | GR | GR | GR | |
| Perplexity Sonar | GR | GR | ||||
| Grok 4.20 | GR | GR | GR | |||
| Mistral Small | ||||||
| DeepSeek V4 Flash | GR | GR | GR | |||
| Llama 4 Maverick | GR | |||||
| Qwen 3.7 Flash | GR | GR | GR | |||
| Kimi K2 | GR | GR | GR | |||
| GLM 4.7 FlashX | GR | GR | ||||
| MiniMax M2.5 | GR | |||||
| GPT-6 Luna | GR | GR | GR | GR | GR | |
| Muse Glimmer 30B | GR | GR | GR |
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. Six of eight in this category shown.
“What to Avoid (Budget Traps)* Gong / Clari (Enterprise Tiers): ... making them difficult for companies with tight cash flow.” Qwen 3.7 Flash · budget prompt · hard negative
“Avoid for Tight Budgets: Enterprise tools like Gong, Clari, People.ai, or Salesforce Revenue Intelligence” Grok 4.20 · budget prompt · hard negative
“What to Avoid on a Tight Budget - Gong: $1,600+/user/year + $5,000–$50,000 annual platform fee” Kimi K2 · budget prompt · hard negative
“Gong and Clari are the most clearly positioned as dedicated revenue intelligence / revenue AI platforms.” GPT-5.4 mini · comparative prompt · first choice
“Gong is generally the gold standard for revenue intelligence because it captures actual conversations” Qwen 3.7 Flash · direct prompt · first choice
“Choose Gong if you want to improve rep performance through coaching and call analysis.” Qwen 3.7 Flash · comparative 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.