Two of twelve models named Rippling first on the direct prompt; two named Planful. Rippling was named by eleven of the twelve models and Planful by ten and Rippling carries 26 labels and Planful 23, so the shares are not directly comparable.
Named in twenty-eight categories this edition.
Named in one category 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.
No label in this category carried a quote.
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
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.