Four of fourteen models named QuickBooks first on the direct prompt; one named BILL. QuickBooks was named by fourteen of the fourteen models and BILL by nine and QuickBooks carries 53 labels and BILL 15, so the shares are not directly comparable.
Named in ten categories this edition.
Named in thirteen 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 invoicing software page.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | ||||||
| Grok 4.20 | ||||||
| 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. Three of four in this category shown.
“QuickBooks Online and Xero are the top choices due to their comprehensive features, scalability, and strong accounting integration” Mistral Small · paraphrase prompt · first choice
“I'd usually recommend QuickBooks Online Advanced if you want the best balance of invoicing, accounting, reporting, and scalability” GPT-5.4 mini · paraphrase prompt · first choice
“It's usually the strongest "all-in-one" option if you want invoicing to connect directly to your accounting system.” GPT-5.4 mini · comparative 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.