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Entity management · October 2026 Edition

Commenda vs MinuteBox

Two of fourteen models named Commenda first on the direct prompt; zero named MinuteBox. Commenda was named by eleven of the fourteen models and MinuteBox by eight and Commenda carries 19 labels and MinuteBox 16, so the shares are not directly comparable.

Commenda

accepted challenger

Named in four categories this edition.

MinuteBox

accepted challenger

Named in one category this edition.

First-choice share4%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate5%6%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#6#7A position in a field of 11; printed, not drawn.
Labels1916A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Commenda reading right to left. Rank and label count are printed, not drawn.Athennian was named alongside these two in eleven of the fourteen direct answers. Athennian vs Commenda · Athennian vs MinuteBox · ContractZen vs Commenda

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 entity 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.
CommendaFirst choices, of fourteen modelsMinuteBox
Direct20
Paraphrase00
Comparative11
Budget-constrained02
Scale-constrained00
Negative001 against Commenda · 1 against MinuteBox
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 Commenda and MinuteBox 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
GPT-6 Luna
Muse Glimmer 30B
Commenda MinuteBox first choice named as an alternative argued againstblank: not namedEach cell is one answer, Commenda on the left and MinuteBox on the right.

The direct prompt

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

Commenda first, MinuteBox not the choice

2 of 14 modelsMinuteBox was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Athennian, Commenda alternatives: Klea
Llama 4 MaverickCommenda, ContractZen alternatives: NEWTON

Neither was the first choice, one was named

6 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashAthennian alternatives: ContractZen, Diliforce, EntityKeeper, MinuteBox
Perplexity SonarDiligent Entities alternatives: Commenda, GateWay Entities
Grok 4.1 FastAthennian alternatives: Commenda, EntityKeeper, Filejet
Mistral SmallAthennian, Filejet alternatives: Commenda, Diligent Entities, Discern
DeepSeek V4 FlashAthennian alternatives: Commenda, EntityKeeper, Filejet
Muse Glimmer 30BAthennian alternatives: CSC Entity Management, CT Corporation Entity Management, Commenda, Discern

Neither was named

6 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniDiligent Entities alternatives: Athennian, CSC Entity Management
Qwen 3.7 FlashLegally alternatives: Diligent Boards, Docuum, Onspring
Kimi K2Athennian alternatives: Filejet, NEWTON
GLM 4.7 FlashXAthennian alternatives: Diligent Entities, EntityKeeper, Filejet
MiniMax M2.5Athennian, Diligent Entities alternatives: Eqvista, Harbor Compliance
GPT-6 LunaAthennian alternatives: CSC Entity Management, EntityKeeper

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
MinuteBox leads by six points.
MinuteBox8%#3 of 8
Commenda2%#– of 8
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
Commenda4%#6 of 11
MinuteBox4%#7 of 11
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Commenda0%#– of 9
MinuteBox0%#8 of 9
The full enterprise standing →

What the models said about Commenda

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

“Reported issues include: Complex interface causing confusion - Tax glitches and exemption problems” Kimi K2 · negative prompt · hard negative
“such as Commenda or ContractZen... Commenda - designed for mid-market companies with 5-30 entities across 8+ countries.” Llama 4 Maverick · direct prompt · first choice
“For most mid-market companies, Commenda and Athennian are frequently cited as top choices.” Claude Haiku 4.5 · direct prompt · first choice

What the models said about MinuteBox

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

“The main drawback is its interface, which feels slightly outdated compared to newer platforms.” Claude Haiku 4.5 · negative prompt · soft negative
“the best legal entity management software for a limited budget is MinuteBox due to its extremely low entry-level pricing” GLM 4.7 FlashX · budget prompt · first choice
“MinuteBox is an excellent choice for companies with limited budgets, starting at just $5 per entity.” Claude Haiku 4.5 · budget prompt · first choice
“Choose Athennian or MinuteBox if you are an in-house legal operations team or law firm” 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.