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FP&A platforms · November 2026 Edition

Cube vs Vena

One of fourteen models named Cube first on the direct prompt; one named Vena. Cube was named by thirteen of the fourteen models and Vena by fourteen and Cube carries 53 labels and Vena 49, so the shares are not directly comparable.

Cube

accepted challenger

Named in nine categories this edition.

Vena

accepted challenger

Named in ten categories this edition.

First-choice share12%5%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate11%22%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.
Labels5349A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Cube reading right to left. Rank and label count are printed, not drawn.Prophix was named alongside these two in ten of the fourteen direct answers. Pigment vs Cube · Pigment vs Vena · Prophix vs Cube

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 FP&A platforms page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
CubeFirst choices, of fourteen modelsVena
Direct11
Paraphrase01
Comparative00
Budget-constrained601 against Cube · 2 against Vena
Scale-constrained01
Negative005 against Cube · 9 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.

Across every category in the November 2026 Edition, Cube and Vena were named in the same answer 176 times, of the 352 answers naming Cube and the 468 naming Vena. In those answers Vena took the first choice six times and Cube twenty-six.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Cube and Vena stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.20
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
Cube Vena first choice named as an alternative argued againstblank: not namedEach cell is one answer, Cube on the left and Vena on the right.

The direct prompt

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

Cube first, Vena an alternative

1 of 14 modelsVena was named in the answer but not as the choice, or not at all.
Grok 4.20Cube alternatives: Centage, Maxio, Planful, Vena

Vena first, Cube not the choice

1 of 14 modelsCube was named in the answer but not as the choice, or not at all.
GPT-5.4 miniVena alternatives: Anaplan, Datarails, Planful, Workday Adaptive Planning

Neither was the first choice, one was named

8 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Planful alternatives: Cube, Prophix, Vena
Gemini 3.5 FlashAbacum, Mosaic alternatives: Cube, Pigment, Planful, Prophix, Vena
Llama 4 MaverickAleph, Pigment, Prophix alternatives: Cube, Datarails, Workday Adaptive Planning
Qwen 3.7 FlashPlanful, Workday Adaptive Planning alternatives: Centage, Cube, Vena
Kimi K2Pigment alternatives: Aleph, Datarails, Prophix, Vena
MiniMax M2.5Aleph, Pigment alternatives: Prophix, Vena
GPT-6 LunaPigment alternatives: Adaptive from Workday, Planful, Vena
Muse Glimmer 30BAleph, Pigment alternatives: Centage, Cube, Datarails, Prophix, Vena

Neither was named

4 of 14 modelsThe answer made no first choice from these two in this category.
Perplexity SonarPigment alternatives: Aleph, Planful, Prophix
Mistral SmallPlanful alternatives: Pigment, Prophix
DeepSeek V4 FlashPigment alternatives: Aleph, Prophix
GLM 4.7 FlashXPigment alternatives: Aleph, Prophix

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
Cube leads by twenty-four points.
Cube24%#1 of 17
Vena0%#15 of 17
The full small business standing →
Mid-marketThe figures above
Cube leads by seven points.
Cube12%#3 of 14
Vena5%#7 of 14
The full mid-market standing →
Enterprise
Cube leads by two points.
Cube4%#7 of 14
Vena2%#10 of 14
The full enterprise standing →

What the models said about Cube

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

“Excel-adjacent tools like Datarails, Cube, and Vena may not be suitable for long-term scalability in large enterprises” Llama 4 Maverick · negative prompt · soft negative
“median pricing for those lands in the $30,000+ range—typically too expensive for "limited budget" teams” Kimi K2 · budget prompt · soft negative
“The best FP&A software for a company with a limited budget is Cube, which offers a free plan and paid plans starting at $40-$80/user/mo.” Llama 4 Maverick · budget prompt · first choice

What the models said about Vena

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

“Extremely slow performance (e.g., single-cell updates taking 20+ minutes)... many call it "the worst decision"” Grok 4.20 · negative prompt · hard negative
“Vena is criticized mainly for scalability and being Excel-in-the-cloud” DeepSeek V4 Flash · negative prompt · hard negative
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.