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Conversational intelligence and call recording · November 2026 Edition

Avoma vs Gong

Seven of fourteen models named Avoma first on the direct prompt; four named Gong. Both were named by all fourteen models and Avoma carries 58 labels and Gong 67, so the shares are not directly comparable.

Avoma

accepted challenger

Named in four categories this edition.

Gong

criticized challenger

By Gong.io, Ramat Gan, Israel, founded 2015. Named in fifteen categories this edition.

First-choice share29%20%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%36%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#2A position in a field of 15; printed, not drawn.
Labels5867A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Avoma reading right to left. Rank and label count are printed, not drawn.Jiminny was named alongside these two in eight of the fourteen direct answers. Avoma vs Fireflies.ai · Avoma vs Clari Copilot · Avoma vs Chorus by ZoomInfo

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.
AvomaFirst choices, of fourteen modelsGong
Direct746 against Gong
Paraphrase844 against Gong
Comparative013
Budget-constrained007 against Gong
Scale-constrained13
Negative107 against Gong
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.

Across every category in the November 2026 Edition, Avoma and Gong were named in the same answer 160 times, of the 280 answers naming Avoma and the 410 naming Gong. In those answers Gong took the first choice forty-seven times and Avoma thirty-six.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Avoma and Gong 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
Avoma Gong first choice named as an alternative argued againstblank: not namedEach cell is one answer, Avoma on the left and Gong on the right.

The direct prompt

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

Avoma first, Gong an alternative

7 of 14 modelsGong was named in the answer but not as the choice, or not at all.
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
Llama 4 MaverickAvoma
Qwen 3.7 FlashAvoma, exec.ai alternatives: Clari Copilot, Gong
Muse Glimmer 30BAvoma alternatives: Airspeed, Chorus by ZoomInfo, Jiminny

Gong first, Avoma an alternative

4 of 14 modelsAvoma was named in the answer but not as the choice, or not at all.
GPT-5.4 miniGong alternatives: Avoma, Chorus by ZoomInfo
Gemini 3.5 FlashGong alternatives: Avoma, Chorus by ZoomInfo, Clari Copilot, Outreach Kaia, Salesloft Conversations
GLM 4.7 FlashXGong alternatives: Avoma, Chorus by ZoomInfo, Claap, Clari Copilot, Jiminny
GPT-6 LunaGong alternatives: Avoma, Salesloft Conversations

Neither was the first choice, one was named

3 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Mistral SmallJiminny, ZoomInfo alternatives: Avoma, CloudTalk, Dialpad
Kimi K2Chorus by ZoomInfo alternatives: Aircall, Avoma, Claap
MiniMax M2.5Jiminny alternatives: Avoma, Chorus by ZoomInfo, Clari Copilot

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
Avoma leads by twenty points.
Avoma20%#3 of 13
Gong0%#13 of 13
The full small business standing →
Mid-marketThe figures above
Avoma leads by nine points.
Avoma29%#1 of 15
Gong20%#2 of 15
The full mid-market standing →
Enterprise
The order flips: Gong leads at enterprise.
Gong72%#1 of 15
Avoma2%#4 of 15
The full enterprise standing →

What 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 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
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.