Two of twelve models named Planful first on the direct prompt; two named HiBob. Planful was named by ten of the twelve models and HiBob by nine and Planful carries 23 labels and HiBob 14, so the shares are not directly comparable.
Named in one category this edition.
Named in sixteen 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 workforce 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 4.1 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. Four of five in this category shown.
“Planful/PlanGuru — but these are usually more expensive” GPT-5.4 mini · budget prompt · soft negative
“Planful often being the better fit if you want a more approachable mid-market FP&A tool that includes workforce planning” GPT-5.4 mini · paraphrase prompt · first choice
“I'd recommend starting with Planful if you have 200+ employees and want strong finance integration” MiniMax M2.5 · paraphrase prompt · first choice
“Best Overall for Finance & HR Collaboration: Planful” Qwen 3.7 Flash · direct 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.
“Easy to use and intuitive, but customization limits and reporting depth are common complaints.” GLM 4.7 FlashX · 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.