Finance AI Index
Index Receivables and billing Cash application › HighRadius vs Lunos
Cash application · September 2026 Edition

HighRadius vs Lunos

Six of twelve models named HighRadius first on the direct prompt; zero named Lunos. HighRadius was named by twelve of the twelve models and Lunos by six and HighRadius carries 45 labels and Lunos 11, so the shares are not directly comparable.

HighRadius

criticized challenger

Named in nineteen categories this edition.

Lunos

accepted challenger

Named in two categories this edition.

First-choice share16%7%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate40%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#4A position in a field of 10; printed, not drawn.
Labels4511A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, HighRadius reading right to left. Rank and label count are printed, not drawn.HighRadius vs Versapay · HighRadius vs Upflow · HighRadius vs Esker

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 cash application page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
HighRadiusFirst choices, of twelve modelsLunos
Direct602 against HighRadius
Paraphrase113 against HighRadius
Comparative80
Budget-constrained028 against HighRadius
Scale-constrained001 against HighRadius
Negative104 against HighRadius
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where HighRadius and Lunos stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
HighRadius Lunos first choice named as an alternative argued againstblank: not namedEach cell is one answer, HighRadius on the left and Lunos on the right.

The direct prompt

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

HighRadius first, Lunos not the choice

6 of 12 modelsLunos was named in the answer but not as the choice, or not at all.
GPT-5.4 miniHighRadius alternatives: BlackLine Cash Application, Sidetrade
Perplexity SonarHighRadius alternatives: Billtrust, Kolleno, Upflow
DeepSeek V4 FlashEsker, HighRadius alternatives: Gaviti, Monk, Versapay
Qwen 3.7 FlashHighRadius alternatives: AtoBi, BlackLine Cash Application, Trintech
Kimi K2HighRadius alternatives: Billtrust, Chaser, Versapay
MiniMax M2.5HighRadius alternatives: Monk

Neither was the first choice, one was named

2 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Grok 4.1 FastEsker alternatives: Billtrust, Gaviti, HighRadius, Quadient Accounts Receivable
Llama 4 MaverickUpflow alternatives: Bluecopa, Cashbook, Chaser, Lunos

Neither was named

4 of 12 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Versapay alternatives: Billtrust, Paystand, Quadient Accounts Receivable, Upflow
Gemini 3.5 FlashQuadient Accounts Receivable alternatives: Stuut, Tesorio, Upflow, Versapay
Mistral SmallUpflow alternatives: Bluecopa, Cashbook, Chaser
GLM 4.7 FlashXEsker, Kolleno alternatives: Chaser, Gaviti, Monk, Quadient Accounts Receivable, Serrala, Stuut, Transparency / Transformance, Versapay

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
Lunos leads by four points.
Lunos4%#5 of 10
HighRadius0%#10 of 10
The full small business standing →
Mid-marketThe figures above
The order flips: HighRadius leads at mid-market.
HighRadius16%#1 of 10
Lunos7%#4 of 10
The full mid-market standing →
Enterprise
HighRadius leads by forty-nine points.
HighRadius49%#1 of 7
Lunos0%#– of 7
The full enterprise standing →

What the models said about HighRadius

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 the usual enterprise leaders like HighRadius, Billtrust, and Esker if budget is the main constraint” Perplexity Sonar · budget prompt · hard negative
“they are generally not recommended for the typical mid-market company ... Why to avoid them in the mid-market:” Gemini 3.5 Flash · direct prompt · hard negative
“Go with HighRadius or BlackLine if you are a massive, multi-billion-dollar enterprise looking to standardize cash flow and compliance across multiple ERPs globally.” Gemini 3.5 Flash · comparative prompt · first choice
“For most mid-market B2B companies, I'd recommend HighRadius due to its proven ROI, quick implementation, and outcome-based pricing model.” MiniMax M2.5 · direct prompt · first choice

What the models said about Lunos

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

“Best Pay-As-You-Go Solution: Lunos ... "I want zero monthly risk." | Lunos” Qwen 3.7 Flash · budget prompt · first choice
“Lunos (backed by GoCardless/General Catalyst) is the strongest fit for mid-market” DeepSeek V4 Flash · paraphrase prompt · first choice
“Lunos – Best overall for a free/very low-cost start” DeepSeek V4 Flash · budget prompt · first choice
Also compared

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.