Lease accounting · October 2026 Edition
Crunchafi vs Trullion
Zero of fourteen models named Crunchafi first on the direct prompt; zero named Trullion. Crunchafi was named by ten of the fourteen models and Trullion by eleven and Crunchafi carries 16 labels and Trullion 17, so the shares are not directly comparable.
Named in one category this edition.
Named in six categories this edition.
First-choice share4%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate12%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#6#8A position in a field of 13; printed, not drawn.
Labels1617A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Crunchafi 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 Crunchafi · FinQuery vs Trullion · EZLease vs Crunchafi
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.
CrunchafiFirst choices, of fourteen modelsTrullion
Direct00
Paraphrase11
Comparative00
Budget-constrained10
Scale-constrained00
Negative002 against Crunchafi
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 Crunchafi and Trullion stood in it.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| 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 | |
Crunchafi Trullion first choice named as an alternative argued againstblank: not namedEach cell is one answer, Crunchafi on the left and Trullion on the right.The direct prompt
The plain question, one answer per model, grouped by where Crunchafi and Trullion stood in it.
Neither was the first choice, one was named
3 of 14 modelsThe answer put something else first and named one of the two as an alternative.Gemini 3.5 FlashFinQuery alternatives: Crunchafi, NetLease, SOFT4Lessee, Trullion, Visual Lease
Perplexity SonarFinQuery alternatives: Trullion, Visual Lease, iLeasePro
Qwen 3.7 FlashiLeasePro alternatives: FinQuery, LeaseWave, Trullion
Neither was named
11 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
Grok 4.1 FastFinQuery alternatives: LeaseCrunch, Visual Lease
Mistral SmalliLeasePro alternatives: FinQuery, Prophix One Lease Accounting, Spacebase
DeepSeek V4 FlashLeaseCrunch alternatives: EZLease, FinQuery, Sage Intacct, Visual Lease
Llama 4 MaverickLeasecake alternatives: FinQuery, Visual Lease, iLeasePro
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
Level: the same share of first choices.
Crunchafi2%#8 of 10Trullion2%#– of 10Mid-marketThe figures above
Enterprise
Level: the same share of first choices.
Crunchafi0%#– of 10Trullion0%#9 of 10What the models said about Crunchafi
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“The tools I'd be most cautious about are Crunchafi/LeaseCrunch (due to directly reported audit failures and data integrity issues)” DeepSeek V4 Flash · negative prompt · hard negative
“Reviewers have flagged that updating certain fields... can overwrite the original record rather than appending a change history” Claude Haiku 4.5 · negative prompt · soft negative
“My practical pick: EZLease or Crunchafi Lease Accounting (formerly LeaseCrunch).” GPT-5.4 mini · budget prompt · first choice
“🏆 Top Recommendation: Crunchafi (formerly LeaseCrunch)” DeepSeek V4 Flash · paraphrase prompt · first choice
“Crunchafi may require you to enter the lease twice... highly cost-effective, "no-nonsense" compliance tool” Gemini 3.5 Flash · paraphrase prompt · alternative
What the models said about Trullion
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“Trullion and iLeasePro are the most popular and user-friendly options” Mistral Small · paraphrase prompt · first choice
Also compared
FinQuery vs CrunchafiFinQuery vs TrullionEZLease vs CrunchafiEZLease vs TrullioniLeasePro vs CrunchafiiLeasePro vs TrullionLeaseGuru vs CrunchafiLeaseGuru vs TrullionVisual Lease vs CrunchafiVisual Lease vs TrullionCrunchafi vs LeaseCrunchLeaseCrunch vs TrullionAll twenty-eight head-to-head pages and the full lease accounting standing
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.