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Conversational intelligence and call recording · November 2026 Edition

Fathom vs Jiminny

Zero of fourteen models named Fathom first on the direct prompt; two named Jiminny. Fathom was named by thirteen of the fourteen models and Jiminny by eleven and Fathom carries 29 labels and Jiminny 23, so the shares are not directly comparable.

Fathom

accepted challenger

Named in six categories this edition.

Jiminny

accepted challenger

Named in four categories this edition.

First-choice share5%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate10%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#6#7A position in a field of 15; printed, not drawn.
Labels2923A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Fathom reading right to left. Rank and label count are printed, not drawn.Avoma was named alongside these two in fourteen of the fourteen direct answers. Avoma vs Fathom · Avoma vs Jiminny · Gong vs Fathom

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

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
FathomFirst choices, of fourteen modelsJiminny
Direct02
Paraphrase00
Comparative00
Budget-constrained30
Scale-constrained00
Negative013 against Fathom
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Fathom and Jiminny stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
Fathom Jiminny first choice named as an alternative argued againstblank: not namedEach cell is one answer, Fathom on the left and Jiminny on the right.

The direct prompt

The plain question, one answer per model, grouped by where Fathom and Jiminny stood in it.

Jiminny first, Fathom not the choice

2 of 14 modelsFathom was named in the answer but not as the choice, or not at all.
Mistral SmallJiminny, ZoomInfo alternatives: Avoma, CloudTalk, Dialpad
MiniMax M2.5Jiminny alternatives: Avoma, Chorus by ZoomInfo, Clari Copilot

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.
Claude Haiku 4.5Avoma alternatives: Chorus by ZoomInfo, Jiminny
Perplexity SonarAvoma alternatives: Chorus by ZoomInfo, Gong, Jiminny
Grok 4.20Avoma alternatives: Fireflies.ai, Jiminny
DeepSeek V4 FlashAvoma alternatives: Aircall, Airspeed, Jiminny
GLM 4.7 FlashXGong alternatives: Avoma, Chorus by ZoomInfo, Claap, Clari Copilot, Jiminny
Muse Glimmer 30BAvoma alternatives: Airspeed, Chorus by ZoomInfo, Jiminny

Neither was named

6 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniGong alternatives: Avoma, Chorus by ZoomInfo
Gemini 3.5 FlashGong alternatives: Avoma, Chorus by ZoomInfo, Clari Copilot, Outreach Kaia, Salesloft Conversations
Llama 4 MaverickAvoma
Qwen 3.7 FlashAvoma, exec.ai alternatives: Clari Copilot, Gong
Kimi K2Chorus by ZoomInfo alternatives: Aircall, Avoma, Claap
GPT-6 LunaGong alternatives: Avoma, Salesloft Conversations

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

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Fathom leads by twenty-five points.
Fathom26%#2 of 13
Jiminny2%#– of 13
The full small business standing →
Mid-marketThe figures above
Fathom leads by two points.
Fathom5%#6 of 15
Jiminny4%#7 of 15
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Fathom0%#15 of 15
Jiminny0%#– of 15
The full enterprise standing →

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

What the models said about Jiminny

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.

“ZoomInfo (Chorus) and Jiminny are the top choices due to their strong feature sets, B2B focus, and scalability.” Mistral Small · direct prompt · first choice
“Look toward well-reviewed options like Avoma, Jiminny, Clari Copilot, or Cresta” Grok 4.20 · negative prompt · first choice
“For most mid-market B2B companies, Jiminny offers the best balance of features and value” MiniMax M2.5 · direct prompt · first choice
Also compared

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.