Gong vs Fathom
Four of fourteen models named Gong first on the direct prompt; zero named Fathom. Gong was named by fourteen of the fourteen models and Fathom by thirteen and Gong carries 67 labels and Fathom 29, so the shares are not directly comparable.
By Gong.io, Ramat Gan, Israel, founded 2015. Named in fifteen categories this edition.
Named in six 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 conversational intelligence and call recording page.
By framing
GongFirst choices, of fourteen modelsFathom
Across every category in the November 2026 Edition, Gong and Fathom were named in the same answer ninety-seven times, of the 410 answers naming Gong and the 192 naming Fathom. In those answers Fathom took the first choice twenty-seven times and Gong fifteen.
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 Fathom first choice named as an alternative argued againstblank: not namedEach cell is one answer, Gong on the left and Fathom on the right.The direct prompt
Gong first, Fathom not the choice
4 of 14 modelsFathom was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
2 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
8 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
Fathom26%#2 of 13Gong0%#13 of 13Gong20%#2 of 15Fathom5%#6 of 15What the models said about Gong
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“What to Avoid (Budget-Busters) | Gong | $1,200-$2,700+/user/year | Enterprise pricing, multi-year contracts required” Kimi K2 · budget prompt · hard negative
“Avoid starting with Gong or Clari if your budget is tight.” Qwen 3.7 Flash · budget prompt · hard negative
“Gong is one of the leading conversation intelligence platforms in the market, known for its robust capabilities in recording, transcribing, and analyzing sales calls.” Claude Haiku 4.5 · comparative prompt · first choice
What the models said about Fathom
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of six in this category shown.
“generally well-liked, but there are repeated user complaints about joining/recording behavior and at least one serious privacy complaint” GPT-5.4 mini · negative prompt · soft negative
“Free or low-cost AI-heavy tools (e.g., Fireflies.ai, Fathom, or similar meeting bots): ... be wary of default data sharing” Grok 4.20 · negative prompt · soft negative
“Fathom, for example, has a five-call-per-month summary cap on its free tier.” Perplexity Sonar · negative prompt · soft negative
“Fathom is probably the best overall choice for most small teams” GPT-5.4 mini · budget prompt · first choice
“Best overall for most limited-budget teams: Fathom Team plan” Grok 4.20 · budget prompt · first choice
“Fathom – Best Overall Value & Generous Tier Capabilities” Gemini 3.5 Flash · budget 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.