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Financial reporting and dashboards · September 2026 Edition

Vena vs Cube

Three of twelve models named Vena first on the direct prompt; one named Cube. Vena was named by eleven of the twelve models and Cube by seven and Vena carries 18 labels and Cube 12, so the shares are not directly comparable.

Vena

accepted challenger

Named in ten categories this edition.

Cube

accepted challenger

Named in nine categories this edition.

First-choice share6%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate6%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.
Labels1812A 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.Sage Intacct was named alongside these two in twelve of the twelve direct answers. Sage Intacct vs Vena · Sage Intacct vs Cube · Fathom vs Vena

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 reporting and dashboards page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
VenaFirst choices, of twelve modelsCube
Direct31
Paraphrase00
Comparative00
Budget-constrained001 against Vena
Scale-constrained00
Negative00
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Across every category in the September 2026 Edition, Vena and Cube were named in the same answer 139 times, of the 348 answers naming Vena and the 311 naming Cube. In those answers Cube took the first choice eighteen times and Vena twelve.

Every model, every framing

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

The direct prompt

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

Vena first, Cube an alternative

3 of 12 modelsCube was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Sage Intacct, Vena alternatives: Datarails, FineReport, Maxio, Oracle NetSuite, Planful
Kimi K2Sage Intacct, Vena alternatives: Cube, Datarails
GLM 4.7 FlashXDatarails, Vena alternatives: Cube, HighRadius, Sage Intacct, Workday Adaptive Planning

Cube first, Vena not the choice

1 of 12 modelsVena was named in the answer but not as the choice, or not at all.
Gemini 3.5 FlashCube, Pigment alternatives: Aleph, Datarails, Oracle NetSuite, Planful, Sage Intacct

Neither was the first choice, one was named

6 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Perplexity SonarSage Intacct alternatives: Datarails, Prophix, Vena
Grok 4.1 FastSage Intacct alternatives: Datarails, Vena
Mistral SmallSage Intacct alternatives: Fairview, Vena
DeepSeek V4 FlashSage Intacct alternatives: Datarails, Maxio, Oracle NetSuite, Vena
Qwen 3.7 FlashSage Intacct alternatives: Fathom, Looker Studio, Microsoft Dynamics 365 Business Central, Oracle NetSuite, Planful, Vena
MiniMax M2.5Sage Intacct alternatives: Cube, Microsoft Dynamics 365 Finance, Oracle NetSuite, Workday Adaptive Planning

Neither was named

2 of 12 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniSage Intacct alternatives: Oracle NetSuite
Llama 4 MaverickSage Intacct

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.
Vena0%#– of 11
Cube0%#– of 11
The full small business standing →
Mid-marketThe figures above
Vena leads by four points.
Vena6%#3 of 14
Cube2%#6 of 14
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Vena0%#– of 10
Cube0%#– of 10
The full enterprise standing →

What the models said about Vena

No label in this category carried a quote.

What the models said about Cube

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

“Go with Cube (if you want to keep Excel) or Pigment (if you want a modern, web-native planning tool)” Gemini 3.5 Flash · 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.