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Lease accounting · September 2026 Edition

EZLease vs Crunchafi

Zero of twelve models named EZLease first on the direct prompt; zero named Crunchafi. EZLease was named by ten of the twelve models and Crunchafi by nine and EZLease carries 29 labels and Crunchafi 15, so the shares are not directly comparable.

EZLease

accepted challenger

Named in one category this edition.

Crunchafi

accepted challenger

Named in one category this edition.

First-choice share10%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate3%7%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#7A position in a field of 12; printed, not drawn.
Labels2915A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, EZLease 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 EZLease · FinQuery vs Crunchafi · iLeasePro vs EZLease

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.
EZLeaseFirst choices, of twelve modelsCrunchafi
Direct00
Paraphrase201 against EZLease
Comparative00
Budget-constrained31
Scale-constrained00
Negative001 against Crunchafi
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.

Across every category in the September 2026 Edition, EZLease and Crunchafi were named in the same answer eighteen times, of the 67 answers naming EZLease and the 36 naming Crunchafi. In those answers Crunchafi took the first choice one time and EZLease six.

Every model, every framing

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

The direct prompt

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

Neither was the first choice, one was named

8 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5SOFT4Lessee alternatives: EZLease, FinQuery, Trullion, Visual Lease
Perplexity SonarFinQuery, Spacebase alternatives: EZLease, SOFT4Lessee, Visual Lease
Grok 4.1 FastFinQuery alternatives: EZLease, Visual Lease
Mistral SmallFinQuery, SOFT4Lessee alternatives: EZLease, Trullion, Visual Lease
DeepSeek V4 FlashFinQuery alternatives: Crunchafi, LeaseCrunch, NetLease, Visual Lease
Llama 4 MaverickiLeasePro alternatives: EZLease, LeaseAccelerator, Leasecake, SOFT4Lessee
Qwen 3.7 FlashFinQuery alternatives: EZLease, Spacebase, iLeasePro
Kimi K2FinQuery alternatives: EZLease, iLeasePro

Neither was named

4 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
Gemini 3.5 FlashFinQuery alternatives: NetLease, SOFT4Lessee, Trullion, Visual Lease
GLM 4.7 FlashXFinQuery, Visual Lease alternatives: DebtBook, SOFT4Lessee, 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
EZLease leads by twenty-three points.
EZLease25%#1 of 9
Crunchafi2%#6 of 9
The full small business standing →
Mid-marketThe figures above
EZLease leads by eight points.
EZLease10%#4 of 12
Crunchafi2%#7 of 12
The full mid-market standing →
Enterprise
EZLease leads by two points.
EZLease2%#– of 10
Crunchafi0%#– of 10
The full enterprise standing →

What the models said about EZLease

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 for Dual Standards: iLeasePro or EZLease—... lack robust IFRS 16/multi-currency support.” Grok 4.1 Fast · paraphrase prompt · hard negative
“The best lease accounting software for a company with a limited budget is EZLease.” Llama 4 Maverick · budget prompt · first choice
“choose EZLease for the best budget-friendly dedicated lease accounting software” Perplexity Sonar · budget prompt · first choice
“For a mid-sized B2B company, I recommend starting with EZLease.” GLM 4.7 FlashX · paraphrase prompt · first choice

What the models said about Crunchafi

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

“Data entry inaccuracies, lack of OCR for lease abstraction, cumbersome journal entries” Grok 4.1 Fast · negative prompt · hard negative
“Crunchafi offers a per-lease pricing model that gives budget-conscious buyers a concrete cost basis” Claude Haiku 4.5 · budget prompt · first choice
“Best for: Companies that want pay-per-lease scalability rather than fixed monthly subscriptions, especially CPA firms.” DeepSeek V4 Flash · budget prompt · alternative
“Best for: Companies that prefer a pay-as-you-go model or work closely with an external CPA firm.” Gemini 3.5 Flash · budget 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.