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FP&A platforms · November 2026 Edition

Pigment vs Jirav

Eight of fourteen models named Pigment first on the direct prompt; zero named Jirav. Pigment was named by fourteen of the fourteen models and Jirav by ten and Pigment carries 44 labels and Jirav 16, so the shares are not directly comparable.

Pigment

accepted challenger

Named in eight categories this edition.

Jirav

accepted challenger

Named in six categories this edition.

First-choice share19%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate14%19%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#8A position in a field of 14; printed, not drawn.
Labels4416A 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.Prophix was named alongside these two in ten of the fourteen direct answers. Pigment vs Prophix · Pigment vs Cube · Pigment vs Aleph

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 FP&A platforms 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 modelsJirav
Direct80
Paraphrase30
Comparative10
Budget-constrained013 against Pigment · 2 against Jirav
Scale-constrained001 against Pigment
Negative102 against Pigment · 1 against Jirav
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 Pigment and Jirav 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 Jirav first choice named as an alternative argued againstblank: not namedEach cell is one answer, Pigment on the left and Jirav on the right.

The direct prompt

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

Pigment first, Jirav not the choice

8 of 14 modelsJirav was named in the answer but not as the choice, or not at all.
Perplexity SonarPigment alternatives: Aleph, Planful, Prophix
DeepSeek V4 FlashPigment alternatives: Aleph, Prophix
Llama 4 MaverickAleph, Pigment, Prophix alternatives: Cube, Datarails, Workday Adaptive Planning
Kimi K2Pigment alternatives: Aleph, Datarails, Prophix, Vena
GLM 4.7 FlashXPigment alternatives: Aleph, Prophix
MiniMax M2.5Aleph, Pigment alternatives: Prophix, Vena
GPT-6 LunaPigment alternatives: Adaptive from Workday, Planful, Vena
Muse Glimmer 30BAleph, Pigment alternatives: Centage, Cube, Datarails, Prophix, Vena

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.
Gemini 3.5 FlashAbacum, Mosaic alternatives: Cube, Pigment, Planful, Prophix, Vena
Mistral SmallPlanful alternatives: Pigment, Prophix

Neither was named

4 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Planful alternatives: Cube, Prophix, Vena
GPT-5.4 miniVena alternatives: Anaplan, Datarails, Planful, Workday Adaptive Planning
Grok 4.20Cube alternatives: Centage, Maxio, Planful, Vena
Qwen 3.7 FlashPlanful, Workday Adaptive Planning alternatives: Centage, 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
Jirav leads by nineteen points.
Jirav19%#2 of 17
Pigment0%#14 of 17
The full small business standing →
Mid-marketThe figures above
The order flips: Pigment leads at mid-market.
Pigment19%#1 of 14
Jirav2%#8 of 14
The full mid-market standing →
Enterprise
Pigment leads by seven points.
Pigment7%#4 of 14
Jirav0%#– of 14
The full enterprise standing →

What the models said about Pigment

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

“65% of FP&A professionals raising concerns about this platform... substantial negative sentiment among practitioners.” Claude Haiku 4.5 · negative prompt · hard negative
“Avoid the mid-market "contact us" vendors (Anaplan, Workday Adaptive Planning, Pigment, Planful)” Kimi K2 · budget prompt · hard negative
“What to Avoid on a Limited Budget ... Pigment | ~$74,000/year” DeepSeek V4 Flash · budget prompt · hard negative
“If you want the safest all-around choice for mid-market B2B, Pigment offers the best balance of power, modern UI, and scalability.” DeepSeek V4 Flash · direct prompt · first choice
“For most mid-market B2B companies, Pigment offers the best balance of modern functionality, ease of use, and mid-market pricing.” GLM 4.7 FlashX · direct prompt · first choice
“or Pigment if you want the most comprehensive AI-native platform and have the budget for it” MiniMax M2.5 · direct prompt · first choice

What the models said about Jirav

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

“Be careful with "from $50/month" Jirav pricing: the public plans are described as being for FP&A advisory practices” GPT-6 Luna · budget prompt · soft negative
“Jirav is an affordable entry point for small businesses ... making it a relatively cost-effective choice” Claude Haiku 4.5 · budget 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.