One of twelve models named Ramp first on the direct prompt; two named Tipalti. Ramp was named by eleven of the twelve models and Tipalti by eleven and Ramp carries 30 labels and Tipalti 26, so the shares are not directly comparable.
Named in seventeen categories this edition.
Named in twelve categories this edition.
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; every quote names the model and the prompt it came from. Both figures come from the business bill pay page.
Across every category in the September 2026 Edition, Ramp and Tipalti were named in the same answer 149 times, of the 944 answers naming Ramp and the 465 naming Tipalti. In those answers Tipalti took the first choice seventeen times and Ramp twenty-five.
| 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 |
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.
No label in this category carried a quote.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“removes the high monthly subscription fees common in accounting software like Bill.com or Tipalti” Qwen 3.7 Flash · budget prompt · soft negative
“need elite tax compliance, Tipalti is the gold standard. *Drawback: Implementation is expensive and time-consuming.*” Gemini 3.5 Flash · scale 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.