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Financial modeling and scenario planning · October 2026 Edition

Vena vs Datarails

One of fourteen models named Vena first on the direct prompt; six named Datarails. Vena was named by eleven of the fourteen models and Datarails by thirteen and Vena carries 21 labels and Datarails 20, so the shares are not directly comparable.

Vena

accepted challenger

Named in nine 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 rate5%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#4A position in a field of 14; printed, not drawn.
Labels2120A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Vena reading right to left. Rank and label count are printed, not drawn.Cube was named alongside these two in nine of the fourteen direct answers. Microsoft Excel vs Vena · 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.
VenaFirst choices, of fourteen modelsDatarails
Direct16
Paraphrase50
Comparative00
Budget-constrained001 against Vena
Scale-constrained21
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, Vena and Datarails were named in the same answer 172 times, of the 398 answers naming Vena and the 323 naming Datarails. In those answers Datarails took the first choice twelve times and Vena seven.

Every model, every framing

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

The direct prompt

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

Vena first, Datarails not the choice

1 of 14 modelsDatarails was named in the answer but not as the choice, or not at all.
Qwen 3.7 FlashVena, Workday Adaptive Planning alternatives: Fathom, PlanGuru

Datarails first, Vena an alternative

6 of 14 modelsVena 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
Grok 4.1 FastCube, Datarails, Drivetrain, Jirav alternatives: Abacum
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

5 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashAleph, Cube alternatives: Abacum, Bob Finance, Pigment, Vena
Mistral SmallAbacum alternatives: Cube, Datarails
DeepSeek V4 FlashCube alternatives: Datarails, Jirav, Planful, Vena
MiniMax M2.5Drivetrain alternatives: Abacum, Cube, Datarails, Pigment
GPT-6 LunaWorkday Adaptive Planning alternatives: Cube, Vena

Neither was named

2 of 14 modelsThe answer made no first choice from these two in this category.
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
Datarails leads by three points.
Datarails3%#6 of 10
Vena0%#– of 10
The full small business standing →
Mid-marketThe figures above
The order flips: Vena leads at mid-market.
Vena12%#3 of 14
Datarails11%#4 of 14
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Vena0%#9 of 12
Datarails0%#– of 12
The full enterprise standing →

What the models said about Vena

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.