Zero of twelve models named ThriveSparrow first on the direct prompt; zero named Teamflect. ThriveSparrow was named by eight of the twelve models and Teamflect by eight and ThriveSparrow carries 11 labels and Teamflect 15, so the shares are not directly comparable.
Named in eight categories this edition.
Named in nine 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 360 feedback 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 |
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. Two of two in this category shown.
“The best 360-degree feedback tool for a company with a limited budget is ThriveSparrow, Small Improvements, or Primalogik.” Llama 4 Maverick · budget prompt · first choice
“ThriveSparrow: Often cited as a top choice for SMBs on a budget... Best Overall Value” Qwen 3.7 Flash · budget prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“Teamflect is often praised for its integration with Microsoft 365 but is criticized for not being a full HR solution and lacking live chat support” Mistral Small · negative prompt · soft negative
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.