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Index › Finance › Planning and analysis › Financial modeling › Cube vs Vena
Financial modeling and scenario planning · November 2026 Edition

Cube vs Vena

One of fourteen models named Cube first on the direct prompt; zero named Vena. Cube was named by eleven of the fourteen models and Vena by thirteen and Cube carries 26 labels and Vena 22, 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 share5%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%5%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#7#8A position in a field of 11; printed, not drawn.
Labels2622A 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.Datarails was named alongside these two in eleven of the fourteen direct answers. Microsoft Excel vs Cube · Microsoft Excel vs Vena · Datarails 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 financial modeling and scenario planning 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
Direct101 against Vena
Paraphrase21
Comparative00
Budget-constrained00
Scale-constrained00
Negative00
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 not the choice

1 of 14 modelsVena was named in the answer but not as the choice, or not at all.
Kimi K2Cube, Datarails alternatives: Drivetrain, Jirav

Neither was the first choice, one was named

12 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Datarails alternatives: Cube, Drivetrain, Pigment, Planful
GPT-5.4 miniPigment, Workday Adaptive Planning alternatives: Anaplan, Vena
Gemini 3.5 FlashMosaic alternatives: Cube, Datarails, Pigment, Vena, Workday Adaptive Planning
Perplexity SonarDrivetrain alternatives: Abacum, Datarails, Limelight, Vena
Grok 4.20Datarails alternatives: Cube, Jirav, Quantrix Modeler
Mistral SmallDatarails alternatives: Cube, Limelight, Vena
DeepSeek V4 FlashPigment alternatives: Aleph, Cube, Datarails, Prophix One
Qwen 3.7 FlashDatarails, Limelight alternatives: Aleph, Cube, Jedox, Vena
GLM 4.7 FlashXDatarails alternatives: OneStream, Pigment, Planful, Vena
MiniMax M2.5Workday Adaptive Planning alternatives: Cube, Vena
GPT-6 LunaWorkday Adaptive Planning alternatives: Planful, Vena
Muse Glimmer 30BDatarails alternatives: Aleph, Cube, Limelight, Planful, Prophix One, Vena

Neither was named

1 of 14 modelsThe answer made no first choice from these two in this category.
Llama 4 MaverickAleph, Datarails, Limelight

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 three points.
Cube3%#7 of 16
Vena0%#13 of 16
The full small business standing →
Mid-marketThe figures above
Cube leads by four points.
Cube5%#7 of 11
Vena2%#8 of 11
The full mid-market standing →
Enterprise
The order flips: Vena leads at enterprise.
Vena2%#7 of 11
Cube0%#9 of 11
The full enterprise standing →

What the models said about Cube

No label in this category carried a quote.

What the models said about Vena

No label in this category carried a quote.

Also compared
Microsoft Excel vs CubeMicrosoft Excel vs VenaDatarails vs CubeDatarails vs VenaGoogle Sheets vs CubeGoogle Sheets vs VenaPigment vs CubePigment vs VenaWorkday Adaptive Planning vs CubeWorkday Adaptive Planning vs VenaProphix One vs CubeProphix One vs VenaAll twenty-eight head-to-head pages and the full financial modeling standing

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.