Avoma vs Fathom
Seven of fourteen models named Avoma first on the direct prompt; zero named Fathom. Avoma was named by fourteen of the fourteen models and Fathom by thirteen and Avoma carries 58 labels and Fathom 29, so the shares are not directly comparable.
Named in four 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
AvomaFirst choices, of fourteen modelsFathom
Across every category in the November 2026 Edition, Avoma and Fathom were named in the same answer ninety-nine times, of the 280 answers naming Avoma and the 192 naming Fathom. In those answers Fathom took the first choice twenty-three times and Avoma twenty-six.
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 | | | | |
Avoma Fathom first choice named as an alternative argued againstblank: not namedEach cell is one answer, Avoma on the left and Fathom on the right.The direct prompt
Avoma first, Fathom not the choice
7 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.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
Avoma29%#1 of 15Fathom5%#6 of 15What the models said about Avoma
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“the consensus right now is Avoma as the best price-to-feature fit for call recording + conversation intelligence” Muse Glimmer 30B · paraphrase prompt · first choice
“the recommended call recording and conversation intelligence tool for a mid-sized B2B company is Avoma” Llama 4 Maverick · paraphrase prompt · first choice
“The best conversation intelligence and call recording platform for a mid-market B2B company is Avoma” Llama 4 Maverick · direct 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.