Avoma vs Jiminny
Ten of fourteen models named Avoma first on the direct prompt; one named Jiminny. Avoma was named by fourteen of the fourteen models and Jiminny by ten and Avoma carries 52 labels and Jiminny 23, so the shares are not directly comparable.
Named in four categories this edition.
Named in three 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 modelsJiminny
Across every category in the October 2026 Edition, Avoma and Jiminny were named in the same answer fifty times, of the 234 answers naming Avoma and the 79 naming Jiminny. In those answers Jiminny took the first choice three times and Avoma eighteen.
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 Jiminny first choice named as an alternative argued againstblank: not namedEach cell is one answer, Avoma on the left and Jiminny on the right.The direct prompt
Avoma first, Jiminny an alternative
10 of 14 modelsJiminny was named in the answer but not as the choice, or not at all.Jiminny first, Avoma an alternative
1 of 14 modelsAvoma was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
1 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
2 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
Avoma24%#3 of 11Jiminny0%#7 of 11What 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.
“The headline price covers meeting transcription only, which may not align with broader needs.” Claude Haiku 4.5 · negative prompt · soft negative
“Affordable, good for SMBs transitioning to mid-market.” Mistral Small · scale prompt · soft negative
“The best conversation intelligence and call recording platform for a mid-market B2B company is likely to be Avoma, Grain, or other AI-native conversation intelligence tools.” Llama 4 Maverick · direct prompt · first choice
“Avoma and Insight7 are top choices due to their affordability, ease of use, and strong feature sets tailored to mid-market needs” Mistral Small · direct prompt · first choice
“For most mid-market B2B companies, Avoma offers the best balance of features, pricing transparency, and scalability” Kimi K2 · direct 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. Four of five in this category shown.
“Jiminny is noted for being priced out of reach for mid-market sales teams” Mistral Small · negative prompt · soft negative
“Jiminny: The Best Overall for Mid-Market Coaching & Adoption ... Jiminny is the top choice.” Gemini 3.5 Flash · direct prompt · first choice
“Shortlist: Avoma, Jiminny, Chorus (if using ZoomInfo), and Clari Copilot” Kimi K2 · scale prompt · first choice
“Jiminny is the strongest mid-market option.” Gemini 3.5 Flash · paraphrase 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.