Gong vs Avoma
Three of fourteen models named Gong first on the direct prompt; one named Avoma. Gong was named by fourteen of the fourteen models and Avoma by eight and Gong carries 43 labels and Avoma 10, so the shares are not directly comparable.
By Gong.io, Ramat Gan, Israel, founded 2015. Named in fifteen categories this edition.
Named in four 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 sales coaching and training page.
By framing
GongFirst choices, of fourteen modelsAvoma
Across every category in the November 2026 Edition, Gong and Avoma were named in the same answer 160 times, of the 410 answers naming Gong and the 280 naming Avoma. In those answers Avoma took the first choice thirty-six times and Gong forty-seven.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | | |||
| GPT-5.4 mini | | |||||
| Gemini 3.5 Flash | | | | |||
| Perplexity Sonar | | | | | ||
| Grok 4.20 | | | | | ||
| 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 | | |
Gong Avoma first choice named as an alternative argued againstblank: not namedEach cell is one answer, Gong on the left and Avoma on the right.The direct prompt
Gong first, Avoma not the choice
3 of 14 modelsAvoma was named in the answer but not as the choice, or not at all.Avoma first, Gong not the choice
1 of 14 modelsGong was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
6 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
4 of 14 modelsThe answer made no first choice from these two in this category.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.
By buyer segment
Gong6%#4 of 15Avoma4%#8 of 15What the models said about Gong
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of five in this category shown.
“Avoid standard enterprise vendors (Gong, Mindtickle, Seismic/Lessonly) unless you have at least 15–20+ reps” Gemini 3.5 Flash · budget prompt · hard negative
“Platforms Strongly Advised to Avoid or Be Very Cautious About: Gong” Mistral Small · negative prompt · hard negative
“The most powerful proprietary AI for conversation intelligence — if your primary need is analyzing calls for insights rather than structured training, Gong leads the pack.” DeepSeek V4 Flash · comparative prompt · first choice
“Gong excels at analyzing actual sales calls and emails to provide actionable insights, making it ideal for teams with complex sales cycles and high deal values.” Mistral Small · comparative prompt · first choice
“Choose an AI Platform (Gong) if your reps know how to sell, but you are struggling to coach managers because you lack objective data” Qwen 3.7 Flash · comparative prompt · first choice
What the models said about Avoma
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“Designed for mid-market teams that want accessible conversation intelligence, coaching workflows, and performance visibility without the complexity often associated with enterprise revenue platforms.” Claude Haiku 4.5 · 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.