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Index › Finance › Planning and analysis › Financial modeling › Pigment vs Vena
Financial modeling and scenario planning · November 2026 Edition

Pigment vs Vena

Two of fourteen models named Pigment first on the direct prompt; zero named Vena. Pigment was named by thirteen of the fourteen models and Vena by thirteen and Pigment carries 23 labels and Vena 22, so the shares are not directly comparable.

Pigment

accepted challenger

Named in eight categories this edition.

Vena

accepted challenger

Named in ten categories this edition.

First-choice share9%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%5%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#8A position in a field of 11; printed, not drawn.
Labels2322A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Pigment reading right to left. Rank and label count are printed, not drawn.Datarails was named alongside these two in eleven of the fourteen direct answers. Microsoft Excel vs Pigment · Microsoft Excel vs Vena · Datarails vs Pigment

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.
PigmentFirst choices, of fourteen modelsVena
Direct201 against Vena
Paraphrase31
Comparative00
Budget-constrained00
Scale-constrained00
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 November 2026 Edition, Pigment and Vena were named in the same answer 122 times, of the 230 answers naming Pigment and the 468 naming Vena. In those answers Vena took the first choice five times and Pigment twenty.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Pigment and Vena stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.20
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
Pigment Vena first choice named as an alternative argued againstblank: not namedEach cell is one answer, Pigment on the left and Vena on the right.

The direct prompt

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

Pigment first, Vena an alternative

2 of 14 modelsVena was named in the answer but not as the choice, or not at all.
GPT-5.4 miniPigment, Workday Adaptive Planning alternatives: Anaplan, Vena
DeepSeek V4 FlashPigment alternatives: Aleph, Cube, Datarails, Prophix One

Neither was the first choice, one was named

9 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Datarails alternatives: Cube, Drivetrain, Pigment, Planful
Gemini 3.5 FlashMosaic alternatives: Cube, Datarails, Pigment, Vena, Workday Adaptive Planning
Perplexity SonarDrivetrain alternatives: Abacum, Datarails, Limelight, Vena
Mistral SmallDatarails alternatives: Cube, Limelight, Vena
Qwen 3.7 FlashDatarails, Limelight alternatives: Aleph, Cube, Jedox, Vena
GLM 4.7 FlashXDatarails alternatives: OneStream, Pigment, Planful, Vena
MiniMax M2.5Workday Adaptive Planning alternatives: Cube, Vena
GPT-6 LunaWorkday Adaptive Planning alternatives: Planful, Vena
Muse Glimmer 30BDatarails alternatives: Aleph, Cube, Limelight, Planful, Prophix One, Vena

Neither was named

3 of 14 modelsThe answer made no first choice from these two in this category.
Grok 4.20Datarails alternatives: Cube, Jirav, Quantrix Modeler
Llama 4 MaverickAleph, Datarails, Limelight
Kimi K2Cube, Datarails alternatives: Drivetrain, Jirav

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
Level: the same share of first choices.
Pigment0%#– of 16
Vena0%#13 of 16
The full small business standing →
Mid-marketThe figures above
Pigment leads by seven points.
Pigment9%#4 of 11
Vena2%#8 of 11
The full mid-market standing →
Enterprise
Pigment leads by six points.
Pigment8%#4 of 11
Vena2%#7 of 11
The full enterprise standing →

What the models said about Pigment

No label in this category carried a quote.

What the models said about Vena

No label in this category carried a quote.

Also compared
Microsoft Excel vs PigmentMicrosoft Excel vs VenaDatarails vs PigmentDatarails vs VenaGoogle Sheets vs PigmentGoogle Sheets vs VenaPigment vs Workday Adaptive PlanningPigment vs Prophix OnePigment vs CubeWorkday Adaptive Planning vs VenaProphix One vs VenaCube vs VenaAll 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.