Three of fourteen models named PerformYard first on the direct prompt; zero named ChartHop. PerformYard was named by thirteen of the fourteen models and ChartHop by ten and PerformYard carries 39 labels and ChartHop 16, so the shares are not directly comparable.
Named in four categories this edition.
Named in seven 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 succession planning 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 4.20 | ||||||
| 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 |
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. Three of four in this category shown.
“For the most budget-friendly options, Factorial and PerformYard are especially worth considering due to their lower starting prices and strong user ratings.” Mistral Small · budget prompt · first choice
“I'd suggest starting with PerformYard or SuccessionNow if you want a dedicated succession planning tool” Kimi K2 · direct prompt · first choice
“PerformYard or SuccessionNow offer good balance of features, usability, and value” MiniMax M2.5 · direct 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.