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Lease accounting · September 2026 Edition

SOFT4Lessee vs Trullion

Two of twelve models named SOFT4Lessee first on the direct prompt; zero named Trullion. SOFT4Lessee was named by seven of the twelve models and Trullion by eleven and SOFT4Lessee carries 10 labels and Trullion 24, so the shares are not directly comparable.

SOFT4Lessee

accepted challenger

Named in one category this edition.

Trullion

accepted challenger

Named in four categories this edition.

First-choice share6%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%8%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#6A position in a field of 12; printed, not drawn.
Labels1024A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, SOFT4Lessee reading right to left. Rank and label count are printed, not drawn.FinQuery was named alongside these two in eleven of the twelve direct answers. FinQuery vs SOFT4Lessee · FinQuery vs Trullion · iLeasePro vs SOFT4Lessee

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 lease accounting page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
SOFT4LesseeFirst choices, of twelve modelsTrullion
Direct20
Paraphrase02
Comparative02
Budget-constrained001 against Trullion
Scale-constrained10
Negative001 against Trullion
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 SOFT4Lessee and Trullion 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
SOFT4Lessee Trullion first choice named as an alternative argued againstblank: not namedEach cell is one answer, SOFT4Lessee on the left and Trullion on the right.

The direct prompt

The plain question, one answer per model, grouped by where SOFT4Lessee and Trullion stood in it.

SOFT4Lessee first, Trullion an alternative

2 of 12 modelsTrullion was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5SOFT4Lessee alternatives: EZLease, FinQuery, Trullion, Visual Lease
Mistral SmallFinQuery, SOFT4Lessee alternatives: EZLease, Trullion, Visual Lease

Neither was the first choice, one was named

4 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashFinQuery alternatives: NetLease, SOFT4Lessee, Trullion, Visual Lease
Perplexity SonarFinQuery, Spacebase alternatives: EZLease, SOFT4Lessee, Visual Lease
Llama 4 MaverickiLeasePro alternatives: EZLease, LeaseAccelerator, Leasecake, SOFT4Lessee
GLM 4.7 FlashXFinQuery, Visual Lease alternatives: DebtBook, SOFT4Lessee, iLeasePro

Neither was named

6 of 12 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniFinQuery alternatives: Nakisa Lease Administration, Sage Intacct, UGAAP, Yardi Corom, iLeasePro
Grok 4.1 FastFinQuery alternatives: EZLease, Visual Lease
DeepSeek V4 FlashFinQuery alternatives: Crunchafi, LeaseCrunch, NetLease, Visual Lease
Qwen 3.7 FlashFinQuery alternatives: EZLease, Spacebase, iLeasePro
Kimi K2FinQuery alternatives: EZLease, iLeasePro
MiniMax M2.5FinQuery, Visual Lease alternatives: Spacebase

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.
SOFT4Lessee0%#– of 9
Trullion0%#7 of 9
The full small business standing →
Mid-marketThe figures above
SOFT4Lessee leads by two points.
SOFT4Lessee6%#5 of 12
Trullion4%#6 of 12
The full mid-market standing →
Enterprise
Level: the same share of first choices.
SOFT4Lessee0%#– of 10
Trullion0%#10 of 10
The full enterprise standing →

What the models said about SOFT4Lessee

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

“Overall best for mid‑sized companies ... SOFT4Lessee for a balanced mid‑market choice” GLM 4.7 FlashX · scale prompt · first choice
“FinQuery (LeaseQuery) and SOFT4Lessee are the top recommendations” Mistral Small · direct prompt · first choice
“SOFT4Lessee is the best first shortlist option” Claude Haiku 4.5 · direct prompt · first choice

What the models said about Trullion

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

“Reports of bugs, slow performance, and gaps in reporting customization.” Grok 4.1 Fast · negative prompt · hard negative
“often require hefty annual contracts and implementation fees” Gemini 3.5 Flash · budget prompt · soft negative
“Trullion is a top choice for small to large accounting firms, partially due to its AI-driven insights into lease portfolios and financial impacts.” Claude Haiku 4.5 · comparative prompt · first choice
“request a demo for both LeaseQuery (for its pure accounting simplicity) and Trullion (for its AI automation and audit efficiency)” Gemini 3.5 Flash · paraphrase prompt · first choice
“For general lease accounting compliance and automation: LeaseQuery or Trullion.” Mistral Small · 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.