Chorus by ZoomInfo vs Fathom
One of fourteen models named Chorus by ZoomInfo first on the direct prompt; zero named Fathom. Chorus by ZoomInfo was named by thirteen of the fourteen models and Fathom by thirteen and Chorus by ZoomInfo carries 48 labels and Fathom 29, so the shares are not directly comparable.
By ZoomInfo, Vancouver, Washington, United States, founded 2000. Named in ten 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
Chorus by ZoomInfoFirst choices, of fourteen modelsFathom
Across every category in the November 2026 Edition, Chorus by ZoomInfo and Fathom were named in the same answer sixty-eight times, of the 269 answers naming Chorus by ZoomInfo and the 192 naming Fathom. In those answers Fathom took the first choice fourteen times and Chorus by ZoomInfo two.
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 | | | | |
Chorus by ZoomInfo Fathom first choice named as an alternative argued againstblank: not namedEach cell is one answer, Chorus by ZoomInfo on the left and Fathom on the right.The direct prompt
Chorus by ZoomInfo first, Fathom not the choice
1 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
7 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
6 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 13Chorus by ZoomInfo0%#12 of 13Chorus by ZoomInfo5%#5 of 15Fathom5%#6 of 15Chorus by ZoomInfo0%#8 of 15Fathom0%#15 of 15What the models said about Chorus by ZoomInfo
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“~$9,200+/user/year | Custom quotes, expensive for small teams” Kimi K2 · budget prompt · hard negative
“Gong and Chorus are the most robust options for advanced conversation intelligence” Mistral Small · paraphrase prompt · first choice
“I'd recommend Chorus by ZoomInfo as your primary choice” GLM 4.7 FlashX · paraphrase 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.