Planful vs Workday Adaptive Planning
Seven of twelve models named Planful first on the direct prompt; one named Workday Adaptive Planning. Both were named by all twelve models and Planful carries 40 labels and Workday Adaptive Planning 41, so the shares are not directly comparable.
Named in nine 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 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 corporate performance management page.
By framing
PlanfulFirst choices, of twelve modelsWorkday Adaptive Planning
Across every category in the September 2026 Edition, Planful and Workday Adaptive Planning were named in the same answer 152 times, of the 306 answers naming Planful and the 386 naming Workday Adaptive Planning. In those answers Workday Adaptive Planning took the first choice nine times and Planful ten.
Every model, every framing
| 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 | | | |
Planful Workday Adaptive Planning first choice named as an alternative argued againstblank: not namedEach cell is one answer, Planful on the left and Workday Adaptive Planning on the right.The direct prompt
Planful first, Workday Adaptive Planning an alternative
7 of 12 modelsWorkday Adaptive Planning was named in the answer but not as the choice, or not at all.Workday Adaptive Planning first, Planful not the choice
1 of 12 modelsPlanful was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
3 of 12 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
1 of 12 modelsThe answer made no first choice from these two in this category.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.
By buyer segment
Workday Adaptive Planning11%#4 of 11Planful2%#8 of 11Planful29%#1 of 12Workday Adaptive Planning12%#4 of 12Workday Adaptive Planning4%#4 of 12Planful2%#6 of 12What the models said about Planful
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“What to Avoid on a Limited Budget | Planful | ~$50,000–$100,000 (3-year TCO) | Mid-market to enterprise focus” Kimi K2 · budget prompt · hard negative
“1. Planful (G2: 4.3/5) - Why it fits: Cloud FP&A platform excelling in budgeting, forecasting, consolidation, and reporting for mid-sized firms” Grok 4.1 Fast · direct prompt · first choice
“The best EPM software for a mid-market B2B company includes Planful, Prophix, Drivetrain, Workday Adaptive Planning, and deFacto Global.” Llama 4 Maverick · direct prompt · first choice
What the models said about Workday Adaptive Planning
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“Avoid: Enterprise platforms like Anaplan or Workday Adaptive ... they're overkill and significantly more expensive” Kimi K2 · paraphrase prompt · hard negative
“the best EPM software is usually Workday Adaptive Planning if you want the best balance of ease of use, planning depth, and faster implementation” GPT-5.4 mini · direct prompt · first choice
“strong for Workday/HCM shops, easiest adoption, excellent workforce planning, native Workday integration” DeepSeek V4 Flash · scale 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.