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Financial modeling and scenario planning · September 2026 Edition

Microsoft Excel vs Vena

Zero of twelve models named Microsoft Excel first on the direct prompt; zero named Vena. Microsoft Excel was named by eight of the twelve models and Vena by twelve and Microsoft Excel carries 14 labels and Vena 26, so the shares are not directly comparable.

Microsoft Excel

accepted challenger

Named in eleven categories this edition.

Vena

accepted challenger

Named in ten categories this edition.

First-choice share11%6%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.

Negative rate21%15%Negative labels as a share of the product's labels, 0 to 100.

Rank in category#4#5A position in a field of 8; printed, not drawn.

Labels1426A 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 ten of the twelve direct answers. Datarails vs Microsoft Excel · Datarails vs Vena · Google Sheets vs Microsoft Excel

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 twelve models made each the first choice, per way of asking, and how many argued against it.

Microsoft ExcelFirst choices, of twelve modelsVena

Direct001 against Vena

Paraphrase031 against Microsoft Excel

Comparative10

Budget-constrained503 against Vena

Scale-constrained00

Negative002 against Microsoft Excel

Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where Microsoft Excel and Vena 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

Microsoft Excel

Vena

first choice

named as an alternative

argued againstblank: not namedEach cell is one answer, Microsoft Excel on the left and Vena on the right.

The direct prompt

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

Neither was the first choice, one was named

6 of 12 modelsThe answer put something else first and named one of the two as an alternative.

Gemini 3.5 FlashMosaic, Pigment alternatives: Centage Planning Maestro, Cube, Datarails, Planful, Vena

Perplexity SonarDatarails, Drivetrain alternatives: Anaplan, Planful, Vena

Grok 4.1 FastCube, Datarails alternatives: Drivetrain, Limelight, Pigment, Vena

Mistral SmallDatarails, Limelight alternatives: Cube, Planful, Vena

Llama 4 MaverickDatarails alternatives: Abacum, Cube, Lucanet xP&A, Mosaic, Vena

Qwen 3.7 FlashCube alternatives: Fathom, Float, Jedox, Jirav, Planful, Vena

Neither was named

6 of 12 modelsThe answer made no first choice from these two in this category.

Claude Haiku 4.5no first choice

GPT-5.4 miniDatarails alternatives: Abacum, Anaplan

DeepSeek V4 FlashLimelight alternatives: Abacum, Cube, Datarails, Pigment, Planful

Kimi K2Datarails alternatives: Aleph, Centage Planning Maestro, Cube

GLM 4.7 FlashXDatarails alternatives: Cube, Drivetrain, Mosaic, Planful

MiniMax M2.5Datarails alternatives: Cube, Planful

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 six points.

Microsoft Excel#9 of 13

Vena#– of 13

The full small business standing →

Mid-marketThe figures above

Microsoft Excel leads by four points.

Microsoft Excel#4 of 8

Vena#5 of 8

The full mid-market standing →

Enterprise

Level: the same share of first choices.

Microsoft Excel#– of 7

Vena#6 of 7

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 four in this category shown.

“Microsoft Excel | General‑purpose financial modeling | Dominant in finance, powerful formulas, Python in Excel, AI Copilot, wide ecosystem” GLM 4.7 FlashX · comparative prompt · first choice

“Microsoft Excel or Google Sheets remain the practical sweet spot, offering functionality, familiarity, and affordability.” Claude Haiku 4.5 · budget prompt · first choice

“For many small businesses, the absolute best tool is the one you likely already own.” Qwen 3.7 Flash · budget prompt · first choice

What the models said about Vena

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

“Vena or Planful are the top choices due to their balance of structure, Excel integration, and advanced scenario capabilities” Mistral Small · paraphrase prompt · first choice

Also compared

Datarails vs Microsoft Excel Datarails vs Vena Google Sheets vs Microsoft Excel Google Sheets vs Vena Cube vs Microsoft Excel Cube vs Vena Microsoft Excel vs Planful Microsoft Excel vs Workday Adaptive Planning Vena vs Planful Vena vs Workday Adaptive Planning All twenty-one 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.