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Financial consolidation · November 2026 Edition

Vena vs OneStream

One of fourteen models named Vena first on the direct prompt; one named OneStream. Both were named by all fourteen models and Vena carries 30 labels and OneStream 42, so the shares are not directly comparable.

Vena

accepted challenger

Named in ten categories this edition.

OneStream

criticized challenger

Named in nine categories this edition.

First-choice share4%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate3%36%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#6A position in a field of 14; printed, not drawn.
Labels3042A 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.Prophix was named alongside these two in fourteen of the fourteen direct answers. Prophix vs Vena · Prophix vs OneStream · Joiin vs Vena

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 consolidation page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
VenaFirst choices, of fourteen modelsOneStream
Direct115 against OneStream
Paraphrase012 against OneStream
Comparative07
Budget-constrained001 against Vena · 5 against OneStream
Scale-constrained103 against OneStream
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, Vena and OneStream were named in the same answer 196 times, of the 468 answers naming Vena and the 583 naming OneStream. In those answers OneStream took the first choice thirty-five times and Vena ten.

Every model, every framing

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

The direct prompt

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

Vena first, OneStream not the choice

1 of 14 modelsOneStream was named in the answer but not as the choice, or not at all.
MiniMax M2.5Prophix, Vena alternatives: Oracle Fusion Cloud EPM, Planful, Workiva

OneStream first, Vena an alternative

1 of 14 modelsVena was named in the answer but not as the choice, or not at all.
GPT-5.4 miniOneStream alternatives: BlackLine, Oracle Fusion Cloud EPM, Prophix, Vena

Neither was the first choice, one was named

10 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashProphix alternatives: Fluence Technologies, Planful, Vena
Perplexity SonarPlanful alternatives: Datarails, OneStream, Prophix, Vena
Grok 4.20Planful, Prophix alternatives: Vena
Mistral SmallPlanful, Prophix alternatives: OneStream, Vena
DeepSeek V4 FlashProphix alternatives: Planful, Vena
Llama 4 MaverickProphix alternatives: CCH Tagetik, OneStream, Planful
Qwen 3.7 FlashPlanful, Prophix alternatives: Datarails, Vena
Kimi K2Prophix alternatives: Planful, Sage Intacct, Vena
GLM 4.7 FlashXProphix alternatives: OneStream, Planful
Muse Glimmer 30BPlanful, Prophix alternatives: Datarails, OneStream, Vena

Neither was named

2 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Planful alternatives: Datarails, Prophix, Sage Intacct
GPT-6 LunaProphix alternatives: Planful

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
Vena leads by three points.
Vena3%#6 of 14
OneStream0%#14 of 14
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
Vena4%#5 of 14
OneStream4%#6 of 14
The full mid-market standing →
Enterprise
The order flips: OneStream leads at enterprise.
OneStream67%#1 of 13
Vena0%#9 of 13
The full enterprise standing →

What the models said about Vena

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

“Mid-Market Dedicated CPM / Consolidation Tools: Planful, Prophix, Vena Solutions, Fluence Technologies, LucaNet.” Gemini 3.5 Flash · scale prompt · first choice

What the models said about OneStream

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

“Avoid starting with OneStream, Oracle EPM, or Anaplan unless the company has complex multinational requirements” Perplexity Sonar · budget prompt · hard negative
“Positioned as best for enterprise finance teams for deep, complex group structures with heavy automation... "the strongest third-party choice"” Muse Glimmer 30B · comparative prompt · first choice
“Best for large, complex enterprises that want consolidation + close + planning + reporting on one platform” GPT-5.4 mini · comparative prompt · first choice
“Best For: Complex global enterprises seeking a unified platform for consolidation, FP&A, and close management.” Gemini 3.5 Flash · 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.