Two of fourteen models named Numeric first on the direct prompt; zero named QuickBooks Online. Numeric was named by twelve of the fourteen models and QuickBooks Online by thirteen and Numeric carries 37 labels and QuickBooks Online 20, so the shares are not directly comparable.
Named in four categories this edition.
Named in sixteen 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 account reconciliation 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 4.1 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. Two of two in this category shown.
“prioritize tools with easy setup, AI matching, and compliance (e.g., for mid-market: Numeric or simpler options)” Grok 4.1 Fast · negative prompt · first choice
“I'd suggest starting with Numeric if you want modern AI-driven automation at a more accessible price point” Kimi K2 · paraphrase prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“you've likely outgrown built-in tools (70–80% match rates at best)” DeepSeek V4 Flash · paraphrase prompt · hard negative
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.