Five of fourteen models named Sage Intacct first on the direct prompt; zero named QuickBooks. Sage Intacct was named by nine of the fourteen models and QuickBooks by ten and Sage Intacct carries 15 labels and QuickBooks 14, so the shares are not directly comparable.
Named in nineteen categories this edition.
Named in eight categories 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 Intacct and QuickBooks were named in the same answer fifty-eight times, of the 462 answers naming Sage Intacct and the 328 naming QuickBooks. In those answers QuickBooks took the first choice two times and Sage Intacct eighteen.
| 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. One of one in this category shown.
“Start with Sage Intacct if you're mid-market B2B prioritizing accounting depth and cost-effectiveness—it's the most cited "best for mid-market."” Grok 4.1 Fast · direct prompt · first choice
No label in this category carried a quote.
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.