# Fixed Asset Pro vs EZOfficeInventory: which do AI models recommend for fixed asset accounting, September 2026

Finance AI Recommendation Index, September 2026 Edition, Fixed asset accounting. One of twelve models named Fixed Asset Pro first on the direct prompt; zero named EZOfficeInventory. Page: https://finance-ai-index.com/accounting/fixed-asset-accounting/fixed-asset-pro-vs-ezofficeinventory/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Fixed Asset Pro | 9% | #3 of 11 | 13% | 15 | 10 of 12 |
| EZOfficeInventory | 4% | #7 of 11 | 6% | 17 | 11 of 12 |

## The direct prompt, model by model

- GPT-5.4 mini: fixed asset pro first (first choices: Fixed Asset Pro) (alternatives: FMIS Fixed Assets, Thomson Reuters Fixed Assets CS)
- Claude Haiku 4.5: neither first, one named (first choices: Sage Fixed Assets) (alternatives: AssetAccountant, EZOfficeInventory, Microsoft Dynamics 365 Finance)
- Gemini 3.5 Flash: neither named (first choices: AssetAccountant) (alternatives: Bloomberg Tax Fixed Assets, NetAsset)
- Perplexity Sonar: neither named (first choices: Sage Intacct) (alternatives: Microsoft Dynamics 365 Business Central, NetSuite Fixed Assets Management, Sage Fixed Assets)
- Grok 4.1 Fast: neither named (first choices: Sage Fixed Assets / Sage Intacct Fixed Assets) (alternatives: MRI Fixed Asset Accounting, Microsoft Dynamics 365 Business Central, NetSuite Fixed Assets Management)
- Mistral Small: neither named (first choices: MRI Fixed Asset Accounting) (alternatives: NetSuite Fixed Assets Management, Sage Fixed Assets)
- DeepSeek V4 Flash: neither named (first choices: Sage Intacct) (alternatives: Asset Panda, MRI Fixed Asset Accounting, Microsoft Dynamics 365 Business Central, Sage Fixed Assets, Thomson Reuters Fixed Assets CS)
- Llama 4 Maverick: neither named (first choices: Sage Fixed Assets) (alternatives: MRI Fixed Asset Accounting)
- Qwen 3.7 Flash: neither named (first choices: MRI Fixed Asset Accounting) (alternatives: NetAsset, Sage Fixed Assets)
- Kimi K2: neither named (first choices: Sage Intacct) (alternatives: Bloomberg Tax Fixed Assets, Oracle NetSuite, Sage Fixed Assets)
- GLM 4.7 FlashX: neither named (first choices: Sage Intacct) (alternatives: Asset Panda, Bassets eDepreciation, GoCodes, MRI Fixed Asset Accounting, Oracle NetSuite)
- MiniMax M2.5: neither named (first choices: Sage Fixed Assets, Sage Intacct) (alternatives: Acumatica Fixed Assets, Asset Panda)

## What the models said about Fixed Asset Pro

- "complaints include depreciation mismatches with tax software, disposed assets not dropping from totals" (Grok 4.1 Fast, negative prompt, soft negative)
- "Disposals may not automatically reduce totals; tax depreciation calculations can mismatch tax software" (GLM 4.7 FlashX, negative prompt, soft negative)
- "If you are doing everything manually in spreadsheets currently, start with Fixed Asset Pro." (Qwen 3.7 Flash, budget prompt, first choice)
- "Fixed Asset Pro is one of the most highly recommended options for budget-conscious companies." (Claude Haiku 4.5, budget prompt, first choice)
- "I'd pick Fixed Asset Pro for most mid-market B2B companies" (GPT-5.4 mini, direct prompt, first choice)

## What the models said about EZOfficeInventory

- "though the latter two lean more operational/ITAM unless paired with a strong accounting engine" (Kimi K2, scale prompt, soft negative)
- "EZOfficeInventory and Bricks Fixed Assets are the top recommendations due to their affordability and robust feature sets" (Mistral Small, budget prompt, first choice)
- "For most teams: Asset Panda or EZOfficeInventory offer the best balance of features, pricing, and ease of use" (MiniMax M2.5, comparative prompt, first choice)
- "EZO has one of the most intuitive depreciation tracking interfaces on the market" (Claude Haiku 4.5, paraphrase prompt, first choice)

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.