Versapay vs Quadient AR
Four of fourteen models named Versapay first on the direct prompt; three named Quadient AR. Both were named by all fourteen models and Versapay carries 35 labels and Quadient AR 31, so the shares are not directly comparable.
Named in seven categories this edition.
Named in six 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.
By framing
VersapayFirst choices, of fourteen modelsQuadient AR
Across every category in the October 2026 Edition, Versapay and Quadient AR were named in the same answer thirty-nine times, of the 213 answers naming Versapay and the 87 naming Quadient AR. In those answers Quadient AR took the first choice three times and Versapay seven.
Every model, every framing
| 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 | | |
Versapay Quadient AR first choice named as an alternative argued againstblank: not namedEach cell is one answer, Versapay on the left and Quadient AR on the right.The direct prompt
Both were the first choice
1 of 14 modelsThe answer named them together, and the judge labeled each a first choice.Versapay first, Quadient AR not the choice
3 of 14 modelsQuadient AR was named in the answer but not as the choice, or not at all.Quadient AR first, Versapay an alternative
2 of 14 modelsVersapay was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
8 of 14 modelsThe answer put something else first and named one of the two as an alternative.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.
By buyer segment
Quadient AR2%#– of 13Versapay0%#11 of 13Versapay10%#3 of 12Quadient AR8%#5 of 12Quadient AR4%#– of 9Versapay0%#3 of 9What the models said about Versapay
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“Portal dependency ... Integration friction ... Reporting gaps ... Long implementations” Kimi K2 · negative prompt · hard negative
“Versapay is a collaborative receivables platform that is best for upper mid-market B2B in the US and Canada” Llama 4 Maverick · direct prompt · first choice
What the models said about Quadient AR
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of six in this category shown.
“Be cautious of platforms like Quadient AR (formerly YayPay) or older point solutions if they do not have deep, bidirectional, real-time sync” Gemini 3.5 Flash · negative prompt · soft negative
“Most vendors (including Quadient AR/YayPay, Billtrust, Gaviti, Sidetrade) publish no pricing at all” Kimi K2 · negative prompt · soft negative
“Rather than expensive, enterprise-grade platforms (like HighRadius or Quadient, which cost thousands)” Gemini 3.5 Flash · budget prompt · soft negative
“The best accounts receivable automation software for a mid-market B2B company is Quadient AR (by YayPay) or Versapay.” Llama 4 Maverick · direct prompt · first choice
“I'd recommend starting with Quadient AR (YayPay) since it's specifically designed for mid-market B2B collections” MiniMax M2.5 · paraphrase prompt · first choice
“Best Overall for Collections Optimization and Usability” Gemini 3.5 Flash · direct 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.