Finance AI Index
Index Planning and analysis Financial reporting › Vena vs Microsoft Power BI
Financial reporting and dashboards · September 2026 Edition

Vena vs Microsoft Power BI

Three of twelve models named Vena first on the direct prompt; zero named Microsoft Power BI. Vena was named by eleven of the twelve models and Microsoft Power BI by twelve and Vena carries 18 labels and Microsoft Power BI 26, so the shares are not directly comparable.

Vena

accepted challenger

Named in ten categories this edition.

Microsoft Power BI

accepted challenger

Named in five categories this edition.

First-choice share6%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate6%23%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#4A position in a field of 14; printed, not drawn.
Labels1826A 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 Microsoft Power BI · 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 modelsMicrosoft Power BI
Direct30
Paraphrase021 against Microsoft Power BI
Comparative08
Budget-constrained001 against Vena
Scale-constrained00
Negative005 against Microsoft Power BI
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.

Every model, every framing

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

The direct prompt

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

Vena first, Microsoft Power BI not the choice

3 of 12 modelsMicrosoft Power BI 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

Neither was the first choice, one was named

5 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

Neither was named

4 of 12 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniSage Intacct alternatives: Oracle NetSuite
Gemini 3.5 FlashCube, Pigment alternatives: Aleph, Datarails, Oracle NetSuite, Planful, Sage Intacct
Llama 4 MaverickSage Intacct
MiniMax M2.5Sage Intacct alternatives: Cube, Microsoft Dynamics 365 Finance, Oracle NetSuite, 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
Level: the same share of first choices.
Vena0%#– of 11
Microsoft Power BI0%#10 of 11
The full small business standing →
Mid-marketThe figures above
Vena leads by two points.
Vena6%#3 of 14
Microsoft Power BI4%#4 of 14
The full mid-market standing →
Enterprise
The order flips: Microsoft Power BI leads at enterprise.
Microsoft Power BI19%#1 of 10
Vena0%#– 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 Microsoft Power BI

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

“Power BI is the classic example — it's extremely popular and powerful, but its DAX formula language and data modeling require real expertise.” DeepSeek V4 Flash · negative prompt · soft negative
“Power BI is generally well-regarded, but it has limitations that can be problematic depending on your needs.” GLM 4.7 FlashX · negative prompt · soft negative
“Steep learning curve (especially DAX), performance lags with large datasets” Grok 4.1 Fast · negative prompt · soft negative
“For General Purpose Finance Dashboards: Microsoft Power BI is an interactive data visualization platform that supports comprehensive financial dashboarding” Claude Haiku 4.5 · paraphrase prompt · first choice
“Power BI most affordable for enterprises... Choose Power BI if you're heavily invested in Microsoft tools and want cost-effective enterprise BI” Kimi K2 · comparative prompt · first choice
“For general business intelligence: Power BI (cost-effective, Microsoft integration) or Tableau (visual excellence) are top choices.” GLM 4.7 FlashX · comparative 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.