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Financial modeling and scenario planning · October 2026 Edition

Vena vs Drivetrain

One of fourteen models named Vena first on the direct prompt; three named Drivetrain. Vena was named by eleven of the fourteen models and Drivetrain by seven and Vena carries 21 labels and Drivetrain 11, so the shares are not directly comparable.

Vena

accepted challenger

Named in nine 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 rate5%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#6A position in a field of 14; printed, not drawn.
Labels2111A 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.Datarails was named alongside these two in nine of the fourteen direct answers. Microsoft Excel vs Vena · 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.
VenaFirst choices, of fourteen modelsDrivetrain
Direct13
Paraphrase51
Comparative00
Budget-constrained001 against Vena
Scale-constrained20
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 Drivetrain were named in the same answer fifty-nine times, of the 398 answers naming Vena and the 103 naming Drivetrain. In those answers Drivetrain took the first choice six times and Vena six.

Every model, every framing

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

The direct prompt

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

Vena first, Drivetrain not the choice

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

Drivetrain first, Vena not the choice

3 of 14 modelsVena 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

6 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
GPT-5.4 miniDatarails, Planful alternatives: Anaplan, Vena
Gemini 3.5 FlashAleph, Cube alternatives: Abacum, Bob Finance, Pigment, Vena
DeepSeek V4 FlashCube alternatives: Datarails, Jirav, Planful, Vena
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.
Perplexity SonarDatarails, Limelight alternatives: Abacum, Workday Adaptive Planning
Mistral SmallAbacum alternatives: Cube, Datarails
Llama 4 Maverickno first choice
GLM 4.7 FlashXDatarails alternatives: Abacum, Cube, Lucanet xP&A, Mosaic

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
Drivetrain leads by two points.
Drivetrain2%#– 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
Drivetrain6%#6 of 14
The full mid-market standing →
Enterprise
The order flips: Drivetrain leads at enterprise.
Drivetrain2%#– of 12
Vena0%#9 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 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.