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Index › Finance › Receivables and billing › Cash application › Versapay vs Kolleno
Cash application · November 2026 Edition

Versapay vs Kolleno

Four of fourteen models named Versapay first on the direct prompt; zero named Kolleno. Versapay was named by fourteen of the fourteen models and Kolleno by seven and Versapay carries 34 labels and Kolleno 10, so the shares are not directly comparable.

Versapay

accepted challenger

Named in eleven categories this edition.

Kolleno

accepted challenger

Named in five categories this edition.

First-choice share15%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate3%10%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#6A position in a field of 12; printed, not drawn.
Labels3410A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Versapay reading right to left. Rank and label count are printed, not drawn.Billtrust was named alongside these two in eleven of the fourteen direct answers. Versapay vs Upflow · Versapay vs HighRadius · Versapay vs Billtrust

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

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
VersapayFirst choices, of fourteen modelsKolleno
Direct40
Paraphrase41
Comparative00
Budget-constrained001 against Versapay · 1 against Kolleno
Scale-constrained00
Negative00
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Versapay and Kolleno stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.20
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 Kolleno first choice named as an alternative argued againstblank: not namedEach cell is one answer, Versapay on the left and Kolleno on the right.

The direct prompt

The plain question, one answer per model, grouped by where Versapay and Kolleno stood in it.

Versapay first, Kolleno not the choice

4 of 14 modelsKolleno was named in the answer but not as the choice, or not at all.
GPT-5.4 miniBilltrust, Versapay alternatives: HighRadius, Tesorio, Upflow
Gemini 3.5 FlashVersapay alternatives: Billtrust, HighRadius, Quadient Accounts Receivable, Upflow
DeepSeek V4 FlashQuadient Accounts Receivable, Versapay alternatives: Billtrust, Upflow
GPT-6 LunaVersapay alternatives: Billtrust, HighRadius, Upflow

Neither was the first choice, one was named

5 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5HighRadius alternatives: Billtrust, Cashbook, Gaviti, Quadient Accounts Receivable, Tesorio, Upflow, Versapay
Grok 4.20Quadient Accounts Receivable alternatives: Upflow, Versapay
Kimi K2Quadient Accounts Receivable, Upflow alternatives: Kolleno, Versapay
MiniMax M2.5HighRadius alternatives: Billtrust, Esker, Quadient Accounts Receivable, Versapay
Muse Glimmer 30BHighRadius alternatives: Billtrust, Quadient Accounts Receivable, Versapay

Neither was named

5 of 14 modelsThe answer made no first choice from these two in this category.
Perplexity SonarUpflow alternatives: Billtrust, Gaviti, Quadient Accounts Receivable
Mistral SmallBilltrust, HighRadius alternatives: Esker, Quadient Accounts Receivable
Llama 4 MaverickHighRadius alternatives: Billtrust, BlackLine Cash Application, Esker
Qwen 3.7 FlashBILL alternatives: Apadana, Oracle Fusion Cash Application, SAP DME, TRIGGERSPEC
GLM 4.7 FlashXBilltrust, HighRadius alternatives: Cashbook, Esker, Quadient Accounts Receivable, Serrala, Upflow

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

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Versapay leads by six points.
Versapay6%#7 of 17
Kolleno0%#14 of 17
The full small business standing →
Mid-marketThe figures above
Versapay leads by thirteen points.
Versapay15%#1 of 12
Kolleno2%#6 of 12
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Versapay0%#8 of 9
Kolleno0%#– of 9
The full enterprise standing →

What 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.

“Versapay — Better for mid-market; typically starts around $1,000+/month” DeepSeek V4 Flash · budget prompt · hard negative
“If I had to pick one for a typical mid-sized B2B company, I'd recommend Versapay as the primary choice” DeepSeek V4 Flash · paraphrase prompt · first choice

What the models said about Kolleno

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.

“Kolleno - $650/user/month, targeted at larger finance teams” Kimi K2 · budget prompt · hard negative
“My recommendation: Start with Kolleno for a demo if you're a typical mid-sized B2B company” Kimi K2 · paraphrase prompt · first choice
Also compared
Versapay vs UpflowVersapay vs HighRadiusVersapay vs BilltrustVersapay vs Quadient Accounts ReceivableUpflow vs KollenoHighRadius vs KollenoBilltrust vs KollenoQuadient Accounts Receivable vs KollenoAll fifteen head-to-head pages and the full cash application standing

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.