Avoma vs Chorus by ZoomInfo
Ten of twelve models named Avoma first on the direct prompt; zero named Chorus by ZoomInfo. Both were named by all twelve models and Avoma carries 50 labels and Chorus by ZoomInfo 34, so the shares are not directly comparable.
Named in five categories this edition.
By ZoomInfo, Vancouver, Washington, United States, founded 2000. Named in six categories this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 twelve modelsChorus by ZoomInfo
Across every category in the September 2026 Edition, Avoma and Chorus by ZoomInfo were named in the same answer 119 times, of the 239 answers naming Avoma and the 229 naming Chorus by ZoomInfo. In those answers Chorus by ZoomInfo took the first choice one time and Avoma twenty-five.
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 4.1 Fast | | | | | | |
| Mistral Small | | | | | ||
| DeepSeek V4 Flash | | | | | | |
| Llama 4 Maverick | | | | |||
| Qwen 3.7 Flash | | | | |||
| Kimi K2 | | | | | | |
| GLM 4.7 FlashX | | | | | ||
| MiniMax M2.5 | | | |
Avoma Chorus by ZoomInfo first choice named as an alternative argued againstblank: not namedEach cell is one answer, Avoma on the left and Chorus by ZoomInfo on the right.The direct prompt
Avoma first, Chorus by ZoomInfo an alternative
10 of 12 modelsChorus by ZoomInfo was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
2 of 12 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
Avoma21%#3 of 11Chorus by ZoomInfo0%#10 of 11Avoma52%#1 of 12Chorus by ZoomInfo2%#6 of 12Avoma2%#3 of 13Chorus by ZoomInfo2%#2 of 13What the models said about Avoma
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of five in this category shown.
“real cost climbs past $50/seat once you add Conversation Intelligence modules \u2014 better for teams who can spend a bit more” DeepSeek V4 Flash · budget prompt · soft negative
“Moderate Caution Cloud-based with enterprise security features” Kimi K2 · negative prompt · soft negative
“Avoma offers transparent public pricing from $19/seat/month, free unlimited viewer seats, and a bot-less recording option, making it the most accessible CI platform for mid-market teams” Claude Haiku 4.5 · direct prompt · first choice
“My top recommendation: Avoma for most mid-market B2B companies due to its transparent pricing, strong feature set, and mid-market focus.” Mistral Small · direct prompt · first choice
“the best default choice is Avoma if you want the strongest balance of meeting intelligence, coaching, CRM sync, and transparent pricing” Perplexity Sonar · direct prompt · first choice
What 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.
“you should generally steer clear of enterprise conversation intelligence (CI) giants like Gong or Chorus (ZoomInfo)” Gemini 3.5 Flash · budget prompt · hard negative
“Only makes sense if already using ZoomInfo; bundled pricing, not standalone value” Kimi K2 · direct prompt · hard negative
“*Gong.io* and *Chorus.ai (by ZoomInfo)*. Best for: Highly sophisticated sales teams... Consideration: They are the most expensive options on the market” Gemini 3.5 Flash · scale 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.