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

Cube vs Vena

Three of fourteen models named Cube first on the direct prompt; one named Vena. Cube was named by fourteen of the fourteen models and Vena by eleven and Cube carries 32 labels and Vena 21, so the shares are not directly comparable.

Cube

accepted challenger

Named in eight categories this edition.

Vena

accepted challenger

Named in nine categories this edition.

First-choice share12%12%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#2#3A position in a field of 14; printed, not drawn.
Labels3221A 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 nine of the fourteen direct answers. Microsoft Excel vs Cube · Microsoft Excel vs Vena · Cube vs Datarails

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
Direct31
Paraphrase45
Comparative10
Budget-constrained001 against Vena
Scale-constrained12
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 October 2026 Edition, Cube and Vena were named in the same answer 175 times, of the 365 answers naming Cube and the 398 naming Vena. In those answers Vena took the first choice twelve times and Cube twenty-two.

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 4.1 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
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

3 of 14 modelsVena was named in the answer but not as the choice, or not at all.
Gemini 3.5 FlashAleph, Cube alternatives: Abacum, Bob Finance, Pigment, Vena
Grok 4.1 FastCube, Datarails, Drivetrain, Jirav alternatives: Abacum
DeepSeek V4 FlashCube alternatives: Datarails, Jirav, 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.
Qwen 3.7 FlashVena, Workday Adaptive Planning alternatives: Fathom, PlanGuru

Neither was the first choice, one was named

7 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Datarails alternatives: Cube, Drivetrain, Planful, Prophix One
GPT-5.4 miniDatarails, Planful alternatives: Anaplan, Vena
Mistral SmallAbacum alternatives: Cube, Datarails
GLM 4.7 FlashXDatarails alternatives: Abacum, Cube, Lucanet xP&A, Mosaic
MiniMax M2.5Drivetrain alternatives: Abacum, Cube, Datarails, Pigment
GPT-6 LunaWorkday Adaptive Planning alternatives: Cube, Vena
Muse Glimmer 30BDatarails alternatives: Cube, Drivetrain, Mosaic, Planful

Neither was named

3 of 14 modelsThe answer made no first choice from these two in this category.
Perplexity SonarDatarails, Limelight alternatives: Abacum, Workday Adaptive Planning
Llama 4 Maverickno first choice
Kimi K2Drivetrain alternatives: Mosaic, Pigment

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%#5 of 10
Vena0%#– of 10
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
Cube12%#2 of 14
Vena12%#3 of 14
The full mid-market standing →
Enterprise
Cube leads by four points.
Cube4%#5 of 12
Vena0%#9 of 12
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 VenaCube vs DatarailsCube vs Google SheetsCube vs DrivetrainCube vs ProphixCube vs Workday Adaptive PlanningVena vs DatarailsVena vs Google SheetsVena vs DrivetrainVena vs ProphixVena vs Workday Adaptive PlanningAll 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.