One of fourteen models named Jiminny first on the direct prompt; zero named Clari Copilot. Jiminny was named by ten of the fourteen models and Clari Copilot by eleven and Jiminny carries 23 labels and Clari Copilot 18, so the shares are not directly comparable.
Named in three categories this edition.
Named in eight 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.
| 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 | ||||||
| GPT-6 Luna | ||||||
| Muse Glimmer 30B |
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.
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
No label in this category carried a quote.
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.