Vena vs Planful
Two of twelve models named Vena first on the direct prompt; three named Planful. Vena was named by twelve of the twelve models and Planful by eleven and Vena carries 45 labels and Planful 36, so the shares are not directly comparable.
Named in ten 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 FP&A platforms page.
By framing
VenaFirst choices, of twelve modelsPlanful
Across every category in the September 2026 Edition, Vena and Planful were named in the same answer 184 times, of the 348 answers naming Vena and the 306 naming Planful. In those answers Planful took the first choice fifteen times and Vena sixteen.
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 | |
Vena Planful first choice named as an alternative argued againstblank: not namedEach cell is one answer, Vena on the left and Planful on the right.The direct prompt
Both were the first choice
1 of 12 modelsThe answer named them together, and the judge labeled each a first choice.Vena first, Planful not the choice
1 of 12 modelsPlanful was named in the answer but not as the choice, or not at all.Planful first, Vena an alternative
2 of 12 modelsVena 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
5 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
Vena0%#12 of 12Planful0%#11 of 12What the models said about Vena
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of five in this category shown.
“"would rather eat a bullet than use it again." ... Anaplan and Vena are the two with the most consistent negative sentiment” DeepSeek V4 Flash · negative prompt · hard negative
“If data sovereignty and verified security audits are non-negotiable for you, this is a major red flag.” Qwen 3.7 Flash · negative prompt · hard negative
“Avoid: Vena (ongoing performance, learning curve, support, and security concerns)” GLM 4.7 FlashX · negative prompt · hard negative
“Go with Vena if your finance team wants to continue modeling in Excel but needs to eliminate spreadsheet errors and automate data ingestion from your ERP.” Gemini 3.5 Flash · paraphrase prompt · first choice
“Choose Vena or Datarails if you have a small to mid-sized finance team that wants to retain the comfort of using Excel” Qwen 3.7 Flash · comparative prompt · first choice
What 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.
“Avoid or be cautious about enterprise platforms (Anaplan, Workday Adaptive, Planful, Pigment)” Mistral Small · negative prompt · hard negative
“What to avoid when budget is tight ... overkill for a budget-conscious company” DeepSeek V4 Flash · budget prompt · hard negative
“Currently one of the leaders in this space. Excellent balance between a robust backend and a user-friendly frontend” Qwen 3.7 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.