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Corporate performance management · November 2026 Edition

Cube vs Prophix

One of fourteen models named Cube first on the direct prompt; zero named Prophix. Cube was named by nine of the fourteen models and Prophix by eleven and Cube carries 15 labels and Prophix 29, so the shares are not directly comparable.

Cube

accepted challenger

Named in nine categories this edition.

Prophix

accepted challenger

Named in eight categories this edition.

First-choice share10%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate13%7%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#8A position in a field of 16; printed, not drawn.
Labels1529A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Cube reading right to left. Rank and label count are printed, not drawn.Planful was named alongside these two in ten of the fourteen direct answers. Planful vs Cube · Planful vs Prophix · Vena vs Cube

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 corporate performance management page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
CubeFirst choices, of fourteen modelsProphix
Direct10
Paraphrase01
Comparative00
Budget-constrained401 against Prophix
Scale-constrained001 against Cube
Negative001 against Cube · 1 against Prophix
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, Cube and Prophix were named in the same answer seventy times, of the 352 answers naming Cube and the 262 naming Prophix. In those answers Prophix took the first choice eleven times and Cube fourteen.

Every model, every framing

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

The direct prompt

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

Cube first, Prophix an alternative

1 of 14 modelsProphix was named in the answer but not as the choice, or not at all.
Kimi K2Cube, Vena alternatives: Datarails, Planful, Prophix

Neither was the first choice, one was named

7 of 14 modelsThe answer put something else first and named one of the two as an alternative.
GPT-5.4 miniWorkday Adaptive Planning alternatives: Oracle Fusion Cloud EPM, Prophix
Gemini 3.5 FlashPigment alternatives: Cube, Mosaic, Planful, Vena, Workday Adaptive Planning
Perplexity SonarPlanful alternatives: Drivetrain, Pigment, Prophix, Vena, Workday Adaptive Planning
Grok 4.20Planful alternatives: Drivetrain, OneStream, Prophix
DeepSeek V4 FlashPlanful alternatives: Datarails, Prophix, Vena, Workday Adaptive Planning
Qwen 3.7 FlashWorkday Adaptive Planning alternatives: Anaplan, Cube, OneStream, Planful
Muse Glimmer 30BPlanful, Vena alternatives: Prophix, deFacto Global

Neither was named

6 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5no first choice
Mistral SmallAnaplan, Empower alternatives: Oracle Fusion Cloud EPM, SAP Analytics Cloud
Llama 4 Maverickno first choice
GLM 4.7 FlashXPlanful, Vena alternatives: Board, Oracle Fusion Cloud EPM, Workday Adaptive Planning
MiniMax M2.5Vena alternatives: OneStream, Pigment, Planful, Workday Adaptive Planning
GPT-6 LunaPlanful alternatives: Pigment, Vena, Workday Adaptive Planning

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
Cube leads by sixteen points.
Cube18%#1 of 14
Prophix2%#9 of 14
The full small business standing →
Mid-marketThe figures above
Cube leads by eight points.
Cube10%#4 of 16
Prophix2%#8 of 16
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Cube0%#– of 13
Prophix0%#11 of 13
The full enterprise standing →

What the models said about Cube

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

“Perform especially rigorous reference checks, security reviews, roadmap validation, and integration testing.” Perplexity Sonar · negative prompt · soft negative
“Choose tools like Cube, Datarails, or Centage, which can be configured internally or with minimal vendor onboarding support.” Gemini 3.5 Flash · budget prompt · first choice
“If you need a paid tool, shortlist Cube for a lean finance team that mainly needs budgeting, forecasting, and reporting.” GPT-6 Luna · budget prompt · first choice
“Start with Cube or LiveFlow — they integrate with tools you already use and have lower implementation costs.” Kimi K2 · budget prompt · first choice

What the models said about Prophix

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

“Avoid: Enterprise solutions like Anaplan, Workday Adaptive Planning, or Prophix until you scale” Kimi K2 · budget prompt · hard negative
“Recurring negatives include limited cloud/mobile access, an outdated UI, occasional performance or setup hiccups” Claude Haiku 4.5 · negative prompt · soft negative
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.