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Financial modeling and scenario planning · October 2026 Edition

Cube vs Drivetrain

Three of fourteen models named Cube first on the direct prompt; three named Drivetrain. Cube was named by fourteen of the fourteen models and Drivetrain by seven and Cube carries 32 labels and Drivetrain 11, so the shares are not directly comparable.

Cube

accepted challenger

Named in eight categories this edition.

Drivetrain

accepted challenger

Named in five categories this edition.

First-choice share12%6%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#6A position in a field of 14; printed, not drawn.

Labels3211A 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 Drivetrain · 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 modelsDrivetrain

Direct33

Paraphrase41

Comparative10

Budget-constrained00

Scale-constrained10

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.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Cube and Drivetrain stood in it.

Model	Direct	Paraphrase	Comparative	Budget-constrained	Scale-constrained	Negative
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

Drivetrain

first choice

named as an alternative

argued againstblank: not namedEach cell is one answer, Cube on the left and Drivetrain on the right.

The direct prompt

The plain question, one answer per model, grouped by where Cube and Drivetrain 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, Drivetrain not the choice

2 of 14 modelsDrivetrain 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

Drivetrain first, Cube an alternative

2 of 14 modelsCube was named in the answer but not as the choice, or not at all.

Kimi K2Drivetrain alternatives: Mosaic, Pigment

MiniMax M2.5Drivetrain alternatives: Abacum, Cube, Datarails, Pigment

Neither was the first choice, one was named

5 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

Mistral SmallAbacum alternatives: Cube, Datarails

GLM 4.7 FlashXDatarails alternatives: Abacum, Cube, Lucanet xP&A, Mosaic

GPT-6 LunaWorkday Adaptive Planning alternatives: Cube, Vena

Muse Glimmer 30BDatarails alternatives: Cube, Drivetrain, Mosaic, Planful

Neither was named

4 of 14 modelsThe answer made no first choice from these two in this category.

GPT-5.4 miniDatarails, Planful alternatives: Anaplan, Vena

Perplexity SonarDatarails, Limelight alternatives: Abacum, Workday Adaptive Planning

Llama 4 Maverickno first choice

Qwen 3.7 FlashVena, Workday Adaptive Planning alternatives: Fathom, PlanGuru

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 two points.

Cube#5 of 10

Drivetrain#– of 10

The full small business standing →

Mid-marketThe figures above

Cube leads by six points.

Cube#2 of 14

Drivetrain#6 of 14

The full mid-market standing →

Enterprise

Cube leads by two points.

Cube#5 of 12

Drivetrain#– 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 Drivetrain

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

“Choose Drivetrain if you are a fast-growing B2B/SaaS company looking for quick time-to-value, strong AI features, and deep SaaS metric modeling.” Gemini 3.5 Flash · paraphrase prompt · first choice

“Drivetrain – Built specifically for B2B strategic finance, targeting mid-market companies” MiniMax M2.5 · direct prompt · first choice

Also compared

Microsoft Excel vs Cube Microsoft Excel vs Drivetrain Cube vs Vena Cube vs Datarails Cube vs Google Sheets Cube vs Prophix Cube vs Workday Adaptive Planning Vena vs Drivetrain Datarails vs Drivetrain Google Sheets vs Drivetrain Drivetrain vs Prophix Drivetrain vs Workday Adaptive Planning All 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.