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Financial modeling and scenario planning · October 2026 Edition

Microsoft Excel vs Drivetrain

Zero of fourteen models named Microsoft Excel first on the direct prompt; three named Drivetrain. Microsoft Excel was named by twelve of the fourteen models and Drivetrain by seven and Microsoft Excel carries 17 labels and Drivetrain 11, so the shares are not directly comparable.

Microsoft Excel

accepted challenger

Named in eleven categories this edition.

Drivetrain

accepted challenger

Named in five categories this edition.

First-choice share14%6%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate24%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#6A position in a field of 14; printed, not drawn.
Labels1711A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Microsoft Excel 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 · Microsoft Excel 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.
Microsoft ExcelFirst choices, of fourteen modelsDrivetrain
Direct031 against Microsoft Excel
Paraphrase01
Comparative10
Budget-constrained90
Scale-constrained001 against Microsoft Excel
Negative002 against Microsoft Excel
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 Microsoft Excel and Drivetrain 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
Microsoft Excel Drivetrain first choice named as an alternative argued againstblank: not namedEach cell is one answer, Microsoft Excel on the left and Drivetrain on the right.

The direct prompt

The plain question, one answer per model, grouped by where Microsoft Excel and Drivetrain stood in it.

Drivetrain first, Microsoft Excel not the choice

3 of 14 modelsMicrosoft Excel was named in the answer but not as the choice, or not at all.
Grok 4.1 FastCube, Datarails, Drivetrain, Jirav alternatives: Abacum
Kimi K2Drivetrain alternatives: Mosaic, Pigment
MiniMax M2.5Drivetrain alternatives: Abacum, Cube, Datarails, Pigment

Neither was the first choice, one was named

2 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
Muse Glimmer 30BDatarails alternatives: Cube, Drivetrain, Mosaic, Planful

Neither was named

9 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniDatarails, Planful alternatives: Anaplan, Vena
Gemini 3.5 FlashAleph, Cube alternatives: Abacum, Bob Finance, Pigment, Vena
Perplexity SonarDatarails, Limelight alternatives: Abacum, Workday Adaptive Planning
Mistral SmallAbacum alternatives: Cube, Datarails
DeepSeek V4 FlashCube alternatives: Datarails, Jirav, Planful, Vena
Llama 4 Maverickno first choice
Qwen 3.7 FlashVena, Workday Adaptive Planning alternatives: Fathom, PlanGuru
GLM 4.7 FlashXDatarails alternatives: Abacum, Cube, Lucanet xP&A, Mosaic
GPT-6 LunaWorkday Adaptive Planning alternatives: Cube, Vena

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
Microsoft Excel leads by twelve points.
Microsoft Excel14%#2 of 10
Drivetrain2%#– of 10
The full small business standing →
Mid-marketThe figures above
Microsoft Excel leads by eight points.
Microsoft Excel14%#1 of 14
Drivetrain6%#6 of 14
The full mid-market standing →
Enterprise
The order flips: Drivetrain leads at enterprise.
Drivetrain2%#– of 12
Microsoft Excel0%#– of 12
The full enterprise standing →

What the models said about Microsoft Excel

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

“If you want to project a company's budget/revenue, use Excel for flexibility, or Cube to automate it.” Gemini 3.5 Flash · comparative prompt · first choice
“If your company already pays for Microsoft 365, use Excel instead rather than buying another tool.” GPT-6 Luna · budget prompt · first choice
“the best choice is usually Microsoft Excel if you need maximum flexibility at the lowest cost” Perplexity Sonar · budget prompt · first choice

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

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.