Six of fourteen models named Sage Fixed Assets first on the direct prompt; zero named Asset Panda. Sage Fixed Assets was named by fourteen of the fourteen models and Asset Panda by thirteen and Sage Fixed Assets carries 52 labels and Asset Panda 28, so the shares are not directly comparable.
Named in one category this edition.
Named in one category this edition.
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 fixed asset accounting page.
Across every category in the October 2026 Edition, Sage Fixed Assets and Asset Panda were named in the same answer sixty-two times, of the 130 answers naming Sage Fixed Assets and the 86 naming Asset Panda. In those answers Asset Panda took the first choice eight times and Sage Fixed Assets twenty.
| 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 |
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.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Often inadequate for complex needs—lacking full lifecycle coverage, physical verification, or robust depreciation.” Grok 4.1 Fast · negative prompt · soft negative
“Also flagged for per-user pricing, which can drive up costs... the pricing model is a common point of caution.” Mistral Small · negative prompt · soft negative
“Per-user pricing inflates costs; some users report challenges with multi-state assets or scalability” Grok 4.1 Fast · negative prompt · soft negative
“Sage Fixed Assets | Accounting teams needing controlled depreciation, audit trails, and period-end integration | Mature depreciation engine” GLM 4.7 FlashX · comparative prompt · first choice
“I'd recommend Sage Fixed Assets, especially if your team needs solid depreciation handling, audit-friendly reporting, and room to grow.” GPT-5.4 mini · paraphrase prompt · first choice
“Sage positions its fixed asset suite this way, emphasizing 50+ depreciation methods, tax compliance updates, and lifecycle management.” GPT-5.4 mini · comparative prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Criticized for its flat per-seat or per-user monthly SaaS pricing model, which can become expensive and is highlighted as something to avoid” Mistral Small · negative prompt · hard negative
“Finance AI Index notes to avoid flat per-user/month tools like Asset Panda, as they're inefficient for large teams.” Grok 4.1 Fast · negative prompt · hard negative
“the comparison flags complexity and higher cost for smaller organizations” GPT-6 Luna · negative prompt · soft negative
“Safer Alternatives to Consider Instead ... Asset Panda – Strong mobile app and barcode scanning; flexible.” DeepSeek V4 Flash · negative prompt · first choice
“I recommend Asset Panda as a top asset depreciation tracking tool” Mistral Small · paraphrase prompt · first choice
“Start with Asset Panda if you want: Affordable, scalable pricing” Kimi K2 · paraphrase prompt · first choice
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.