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Lease accounting · October 2026 Edition

LeaseGuru vs LeaseCrunch

Zero of fourteen models named LeaseGuru first on the direct prompt; one named LeaseCrunch. LeaseGuru was named by eight of the fourteen models and LeaseCrunch by nine and both carry 10 labels, so the shares below are directly comparable.

LeaseGuru

accepted challenger

Named in one category this edition.

LeaseCrunch

accepted challenger

Named in one category this edition.

First-choice share6%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#7A position in a field of 13; printed, not drawn.
Labels1010Equal, which is what makes the shares comparable.
The two percentage rows are drawn on one 0 to 100 track, LeaseGuru reading right to left. Rank and label count are printed, not drawn.FinQuery was named alongside these two in twelve of the fourteen direct answers. FinQuery vs LeaseGuru · FinQuery vs LeaseCrunch · EZLease vs LeaseGuru

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 lease accounting page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
LeaseGuruFirst choices, of fourteen modelsLeaseCrunch
Direct01
Paraphrase01
Comparative00
Budget-constrained30
Scale-constrained00
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.

Every model, every framing

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

The direct prompt

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

LeaseCrunch first, LeaseGuru not the choice

1 of 14 modelsLeaseGuru was named in the answer but not as the choice, or not at all.
DeepSeek V4 FlashLeaseCrunch alternatives: EZLease, FinQuery, Sage Intacct, Visual Lease

Neither was the first choice, one was named

1 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Grok 4.1 FastFinQuery alternatives: LeaseCrunch, Visual Lease

Neither was named

12 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5SOFT4Lessee alternatives: EZLease, FinQuery, Spacebase
GPT-5.4 miniFinQuery alternatives: EZLease, Nakisa Lease Administration
Gemini 3.5 FlashFinQuery alternatives: Crunchafi, NetLease, SOFT4Lessee, Trullion, Visual Lease
Perplexity SonarFinQuery alternatives: Trullion, Visual Lease, iLeasePro
Mistral SmalliLeasePro alternatives: FinQuery, Prophix One Lease Accounting, Spacebase
Llama 4 MaverickLeasecake alternatives: FinQuery, Visual Lease, iLeasePro
Qwen 3.7 FlashiLeasePro alternatives: FinQuery, LeaseWave, Trullion
Kimi K2FinQuery alternatives: EZLease, Occupier, Sage Intacct, iLeasePro
GLM 4.7 FlashXFinQuery alternatives: Lease Insight, LeaseAccelerator, MRI ProLease, iLeasePro
MiniMax M2.5FinQuery, iLeasePro alternatives: LeaseCalcs, Occupier, Spacebase
GPT-6 LunaFinQuery's LeaseQuery alternatives: Occupier, Visual Lease
Muse Glimmer 30BFinQuery, formerly LeaseQuery alternatives: MRI ProLease, SOFT4Lessee, Visual Lease, iLeasePro

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
LeaseGuru leads by thirteen points.
LeaseGuru16%#2 of 10
LeaseCrunch4%#– of 10
The full small business standing →
Mid-marketThe figures above
LeaseGuru leads by two points.
LeaseGuru6%#4 of 13
LeaseCrunch4%#7 of 13
The full mid-market standing →
Enterprise
Level: the same share of first choices.
LeaseGuru0%#– of 10
LeaseCrunch0%#– of 10
The full enterprise standing →

What the models said about LeaseGuru

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

“or LeaseGuru by FinQuery if you need dedicated lease accounting without moving to a higher-cost enterprise platform” Perplexity Sonar · budget prompt · first choice
“I'd start with FinQuery LeaseGuru if you want to keep costs to a minimum: it's free for up to 2 leases” GPT-6 Luna · budget prompt · first choice
“LeaseGuru (powered by FinQuery) stands out as one of the best lease accounting software options” Grok 4.1 Fast · budget prompt · first choice

What the models said about LeaseCrunch

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

“Top pick – LeaseCrunch ... delivers the right balance of compliance power, ease of integration, and cost predictability.” MiniMax M2.5 · paraphrase prompt · first choice
“For most mid-market B2B companies, LeaseCrunch (Crunchafi) is currently the best-balanced choice” DeepSeek V4 Flash · direct prompt · first choice
“LeaseCrunch – leader in buyer-guide evaluations, SOC 1 Type 2 certified, CPA-firm collaboration.” GLM 4.7 FlashX · paraphrase prompt · alternative
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.