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Corporate performance management · October 2026 Edition

Vena vs Jedox

Three of fourteen models named Vena first on the direct prompt; zero named Jedox. Vena was named by thirteen of the fourteen models and Jedox by eight and Vena carries 42 labels and Jedox 14, so the shares are not directly comparable.

Vena

accepted challenger

Named in nine categories this edition.

Jedox

accepted challenger

Named in three categories this edition.

First-choice share15%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate14%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#7A position in a field of 14; printed, not drawn.
Labels4214A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Vena reading right to left. Rank and label count are printed, not drawn.Planful was named alongside these two in thirteen of the fourteen direct answers. Planful vs Vena · Planful vs Jedox · Prophix vs Vena

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 corporate performance management page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
VenaFirst choices, of fourteen modelsJedox
Direct30
Paraphrase40
Comparative00
Budget-constrained211 against Vena
Scale-constrained00
Negative005 against Vena
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Vena and Jedox stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
GPT-6 Luna
Muse Glimmer 30B
Vena Jedox first choice named as an alternative argued againstblank: not namedEach cell is one answer, Vena on the left and Jedox on the right.

The direct prompt

The plain question, one answer per model, grouped by where Vena and Jedox stood in it.

Vena first, Jedox an alternative

3 of 14 modelsJedox was named in the answer but not as the choice, or not at all.
GPT-5.4 miniPlanful, Vena alternatives: Board, Jedox, OneStream, Oracle Fusion Cloud EPM
Gemini 3.5 FlashCube, Vena alternatives: Abacum, Datarails, Mosaic, Pigment, Planful, Prophix
Kimi K2Datarails, Drivetrain, Vena alternatives: Cube, Planful, Prophix

Neither was the first choice, one was named

4 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Drivetrain alternatives: Jedox, Planful, Prophix, Vena, Workday Adaptive Planning
DeepSeek V4 FlashPlanful alternatives: Drivetrain, Pigment, Prophix, Vena
MiniMax M2.5Planful, Workday Adaptive Planning alternatives: Cube, Prophix, Vena
GPT-6 LunaPlanful alternatives: NetSuite Planning and Budgeting, Vena, Workday Adaptive Planning

Neither was named

7 of 14 modelsThe answer made no first choice from these two in this category.
Perplexity SonarPlanful alternatives: Datarails, Drivetrain, Prophix, Workday Adaptive Planning
Grok 4.1 FastPlanful, Prophix alternatives: OneStream, Workday Adaptive Planning
Mistral SmallProfitbase EPM, Prophix alternatives: IBM Planning Analytics, Oracle Fusion Cloud EPM, Phocas Software
Llama 4 MaverickPlanful alternatives: Prophix, Workday Adaptive Planning
Qwen 3.7 FlashPlanful alternatives: Drivetrain, Prophix
GLM 4.7 FlashXCube, Prophix alternatives: Planful
Muse Glimmer 30BPlanful, Prophix alternatives: Cube, Workday Adaptive Planning

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

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Vena leads by eight points.
Vena11%#2 of 13
Jedox4%#5 of 13
The full small business standing →
Mid-marketThe figures above
Vena leads by thirteen points.
Vena15%#3 of 14
Jedox2%#7 of 14
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Vena0%#12 of 12
Jedox0%#10 of 12
The full enterprise standing →

What the models said about Vena

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.

“Excel-based tools (e.g., Vena, Datarails): Lack enterprise scalability—avoid for large orgs.” Grok 4.1 Fast · negative prompt · hard negative
“Vena Solutions | Mid-market deployments start around $75K–$250K in year one” DeepSeek V4 Flash · budget prompt · hard negative
“Start with a demo of Vena (if you love Excel) or Adaptive Insights (if you want a clean web interface). These two cover the vast majority of mid-sized B2B use cases” Qwen 3.7 Flash · paraphrase prompt · first choice
“corporate performance management (CPM/FP&A) for budgeting, forecasting, and reporting, then Vena or Datarails are stronger fits for mid-sized companies” Perplexity Sonar · paraphrase prompt · first choice

What the models said about Jedox

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.

“Jedox ($160/month) or Cube ($1,250/month) offer the best balance of functionality and affordability” Kimi K2 · budget prompt · first choice
“Jedox stands out for artificial intelligence and machine learning capabilities enhancing forecasting accuracy” Claude Haiku 4.5 · comparative prompt · alternative
“Teams that want to stay close to Excel | 3–4 months | Lower learning curve, spreadsheet-first” DeepSeek V4 Flash · scale prompt · alternative
Also compared

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.