Versapay vs Esker
One of fourteen models named Versapay first on the direct prompt; zero named Esker. Versapay was named by thirteen of the fourteen models and Esker by thirteen and Versapay carries 35 labels and Esker 22, so the shares are not directly comparable.
Named in seven 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 cash application page.
By framing
VersapayFirst choices, of fourteen modelsEsker
Across every category in the October 2026 Edition, Versapay and Esker were named in the same answer sixty-seven times, of the 213 answers naming Versapay and the 208 naming Esker. In those answers Esker took the first choice two times and Versapay three.
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 Esker first choice named as an alternative argued againstblank: not namedEach cell is one answer, Versapay on the left and Esker on the right.The direct prompt
Versapay first, Esker not the choice
1 of 14 modelsEsker 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.Neither was named
5 of 14 modelsThe answer made no first choice from these two in this category.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
Versapay0%#11 of 16Esker0%#13 of 16Versapay0%#7 of 8Esker0%#6 of 8What the models said about Versapay
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.
“"Avoid for Your Criteria - Billtrust, Serrala, Esker, Versapay: Custom/transaction-based"” Muse Glimmer 30B · negative prompt · hard negative
“generally not recommended for smaller businesses or those outside its target scale” Mistral Small · negative prompt · hard negative
“Go with Versapay. Its collaborative portal forces buyers to map payments to invoices directly, cutting out the need for complex manual reconciliation.” Gemini 3.5 Flash · direct prompt · first choice
“VersaPay and Bill.com are the top choices due to their strong matching capabilities, scalability, and integration options.” Mistral Small · paraphrase prompt · first choice
What the models said about Esker
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of five in this category shown.
“"Avoid for Your Criteria - Billtrust, Serrala, Esker, Versapay: Custom/transaction-based"” Muse Glimmer 30B · negative prompt · hard negative
“It is often recommended to avoid unless your payment volume justifies the cost” Mistral Small · negative prompt · hard negative
“underperforms with variable billing, unstructured remittances, and non-standard invoice layouts common in mid-market companies” Qwen 3.7 Flash · negative prompt · soft negative
“Mid-market options (Esker, Versapay, Quadient AR, Billtrust) may deliver 90% of the value at a fraction of the cost... Strong mid-market fit” DeepSeek V4 Flash · scale prompt · first choice
“If you have exceptionally document-heavy or multi-national billing operations ... these tools offer highly capable, SaaS-native AI matchers” Gemini 3.5 Flash · scale prompt · alternative
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.