# FinQuery vs Crunchafi: which do AI models recommend for lease accounting, September 2026

Finance AI Recommendation Index, September 2026 Edition, Lease accounting. Ten of twelve models named FinQuery first on the direct prompt; zero named Crunchafi. Page: https://finance-ai-index.com/accounting/lease-accounting/finquery-vs-crunchafi/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| FinQuery | 36% | #1 of 12 | 8% | 48 | 12 of 12 |
| Crunchafi | 2% | #7 of 12 | 7% | 15 | 9 of 12 |

## The direct prompt, model by model

- GPT-5.4 mini: finquery first (first choices: FinQuery) (alternatives: Nakisa Lease Administration, Sage Intacct, UGAAP, Yardi Corom, iLeasePro)
- Gemini 3.5 Flash: finquery first (first choices: FinQuery) (alternatives: NetLease, SOFT4Lessee, Trullion, Visual Lease)
- Perplexity Sonar: finquery first (first choices: FinQuery, Spacebase) (alternatives: EZLease, SOFT4Lessee, Visual Lease)
- Grok 4.1 Fast: finquery first (first choices: FinQuery) (alternatives: EZLease, Visual Lease)
- Mistral Small: finquery first (first choices: FinQuery, SOFT4Lessee) (alternatives: EZLease, Trullion, Visual Lease)
- DeepSeek V4 Flash: finquery first (first choices: FinQuery) (alternatives: Crunchafi, LeaseCrunch, NetLease, Visual Lease)
- Qwen 3.7 Flash: finquery first (first choices: FinQuery) (alternatives: EZLease, Spacebase, iLeasePro)
- Kimi K2: finquery first (first choices: FinQuery) (alternatives: EZLease, iLeasePro)
- GLM 4.7 FlashX: finquery first (first choices: FinQuery, Visual Lease) (alternatives: DebtBook, SOFT4Lessee, iLeasePro)
- MiniMax M2.5: finquery first (first choices: FinQuery, Visual Lease) (alternatives: Spacebase)
- Claude Haiku 4.5: neither first, one named (first choices: SOFT4Lessee) (alternatives: EZLease, FinQuery, Trullion, Visual Lease)
- Llama 4 Maverick: neither named (first choices: iLeasePro) (alternatives: EZLease, LeaseAccelerator, Leasecake, SOFT4Lessee)

## What the models said about FinQuery

- "LeaseQuery (FinQuery): "Irreversible changes" after a lease is approved, forced re-approval workflows for minor corrections, limited vehicle entry options" (DeepSeek V4 Flash, negative prompt, soft negative)
- "major enterprise solutions (like LeaseQuery/FinQuery, Visual Lease, or Trullion) often require hefty annual contracts and implementation fees" (Gemini 3.5 Flash, budget prompt, soft negative)
- "consider pricier tools like LeaseQuery/FinQuery, but they're usually not the cheapest route" (GPT-5.4 mini, budget prompt, soft negative)
- "The Industry Gold Standard: LeaseQuery (by FinQuery) ... request a demo for both LeaseQuery (for its pure accounting simplicity) and Trullion" (Gemini 3.5 Flash, paraphrase prompt, first choice)
- "FinQuery is built "by accountants, for accountants". It operates as a powerful standalone subledger that supports ASC 842, IFRS 16, and GASB standards." (Gemini 3.5 Flash, comparative prompt, first choice)
- "One of the most popular platforms for mid-sized accounting teams. It was built by CPAs and is highly focused on absolute accounting accuracy." (Gemini 3.5 Flash, scale prompt, first choice)

## What the models said about Crunchafi

- "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)

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. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.