Zero of fourteen models named Zoho Books first on the direct prompt; four named Billtrust. Zoho Books was named by twelve of the fourteen models and Billtrust by twelve and Zoho Books carries 12 labels and Billtrust 38, so the shares are not directly comparable.
Named in seventeen categories this edition.
Named in nine 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 accounts receivable automation 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.
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. Three of three in this category shown.
“The Verdict: Avoid these unless you have a dedicated, internal IT team and a massive budget” Gemini 3.5 Flash · negative prompt · hard negative
“Billtrust ranks as the best accounts receivable software solution, combining AI-powered automation, a unified end-to-end AR platform” Muse Glimmer 30B · direct prompt · first choice
“If you are a massive global brand with manual cash matching bottlenecks: Choose HighRadius or Billtrust.” Gemini 3.5 Flash · comparative 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.