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Financial modeling and scenario planning · October 2026 Edition

Cube vs Datarails

Three of fourteen models named Cube first on the direct prompt; six named Datarails. Cube was named by fourteen of the fourteen models and Datarails by thirteen and Cube carries 32 labels and Datarails 20, so the shares are not directly comparable.

Cube

accepted challenger

Named in eight categories this edition.

Datarails

accepted challenger

Named in eight categories this edition.

First-choice share12%11%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#4A position in a field of 14; printed, not drawn.
Labels3220A 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.Microsoft Excel vs Cube · Microsoft Excel vs Datarails · Cube 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 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 modelsDatarails
Direct36
Paraphrase40
Comparative10
Budget-constrained00
Scale-constrained11
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 Datarails were named in the same answer 188 times, of the 365 answers naming Cube and the 323 naming Datarails. In those answers Datarails took the first choice fifteen times and Cube twenty-one.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Cube and Datarails 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 Datarails first choice named as an alternative argued againstblank: not namedEach cell is one answer, Cube on the left and Datarails on the right.

The direct prompt

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

Both were the first choice

1 of 14 modelsThe answer named them together, and the judge labeled each a first choice.
Grok 4.1 FastCube, Datarails, Drivetrain, Jirav alternatives: Abacum

Cube first, Datarails an alternative

2 of 14 modelsDatarails 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
DeepSeek V4 FlashCube alternatives: Datarails, Jirav, Planful, Vena

Datarails first, Cube an alternative

5 of 14 modelsCube was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Datarails alternatives: Cube, Drivetrain, Planful, Prophix One
GPT-5.4 miniDatarails, Planful alternatives: Anaplan, Vena
Perplexity SonarDatarails, Limelight alternatives: Abacum, Workday Adaptive Planning
GLM 4.7 FlashXDatarails alternatives: Abacum, Cube, Lucanet xP&A, Mosaic
Muse Glimmer 30BDatarails alternatives: Cube, Drivetrain, Mosaic, Planful

Neither was the first choice, one was named

3 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Mistral SmallAbacum alternatives: Cube, Datarails
MiniMax M2.5Drivetrain alternatives: Abacum, Cube, Datarails, Pigment
GPT-6 LunaWorkday Adaptive Planning alternatives: Cube, Vena

Neither was named

3 of 14 modelsThe answer made no first choice from these two in this category.
Llama 4 Maverickno first choice
Qwen 3.7 FlashVena, Workday Adaptive Planning alternatives: Fathom, PlanGuru
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
Level: the same share of first choices.
Cube3%#5 of 10
Datarails3%#6 of 10
The full small business standing →
Mid-marketThe figures above
Cube leads by two points.
Cube12%#2 of 14
Datarails11%#4 of 14
The full mid-market standing →
Enterprise
Cube leads by four points.
Cube4%#5 of 12
Datarails0%#– 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 Datarails

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

“I would choose Datarails for an Excel-heavy mid-market B2B finance team, and Limelight for a team that wants a more modern standalone modeling platform” Perplexity Sonar · direct prompt · first choice
“"For most mid-market finance teams, especially those managing multiple entities in Excel, Datarails is the best financial modeling software in 2026."” Muse Glimmer 30B · direct prompt · first choice
“For most mid-market finance teams, especially those managing multiple entities in Excel, Datarails is the best financial modeling software in 2026.” Claude Haiku 4.5 · direct prompt · first choice
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.