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Accounts receivable automation · September 2026 Edition

Quadient AR vs Chaser

Five of twelve models named Quadient AR first on the direct prompt; zero named Chaser. Quadient AR was named by eleven of the twelve models and Chaser by ten and Quadient AR carries 25 labels and Chaser 18, so the shares are not directly comparable.

Quadient AR

accepted challenger

Named in four categories this edition.

Chaser

accepted challenger

Named in six categories this edition.

First-choice share10%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate20%6%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#6A position in a field of 8; printed, not drawn.
Labels2518A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Quadient AR reading right to left. Rank and label count are printed, not drawn.Versapay was named alongside these two in nine of the twelve direct answers. Versapay vs Quadient AR · Versapay vs Chaser · Billtrust vs Quadient AR

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 accounts receivable automation page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
Quadient ARFirst choices, of twelve modelsChaser
Direct50
Paraphrase02
Comparative001 against Quadient AR
Budget-constrained001 against Quadient AR · 1 against Chaser
Scale-constrained00
Negative013 against Quadient AR
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 Quadient AR and Chaser 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
Quadient AR Chaser first choice named as an alternative argued againstblank: not namedEach cell is one answer, Quadient AR on the left and Chaser on the right.

The direct prompt

The plain question, one answer per model, grouped by where Quadient AR and Chaser stood in it.

Quadient AR first, Chaser an alternative

5 of 12 modelsChaser was named in the answer but not as the choice, or not at all.
Gemini 3.5 FlashQuadient AR alternatives: Billtrust, Gaviti, Tesorio, Upflow, Versapay
Perplexity SonarQuadient AR alternatives: Billtrust, Credit-IQ, HighRadius, Upflow, Versapay
Mistral SmallHighRadius, Quadient AR alternatives: Billtrust, Tesorio
DeepSeek V4 FlashQuadient AR, Versapay alternatives: Chaser, Esker, Upflow
GLM 4.7 FlashXQuadient AR alternatives: HighRadius, Tesorio, Versapay

Neither was the first choice, one was named

5 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Monk alternatives: BILL, HighRadius, Invoiced, Quadient AR, Versapay
Grok 4.1 FastBilltrust alternatives: Chaser, HighRadius, Quadient AR, Versapay
Llama 4 MaverickHighRadius alternatives: Credit-IQ, Quadient AR, Tesorio
Qwen 3.7 FlashVersapay alternatives: BILL, Billtrust, Quadient AR, Tesorio
Kimi K2Billtrust, Versapay alternatives: HighRadius, Quadient AR, Yonovo

Neither was named

2 of 12 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniBilltrust, HighRadius alternatives: Esker
MiniMax M2.5Billtrust alternatives: HighRadius, 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
Chaser leads by eighteen points.
Chaser18%#2 of 10
Quadient AR0%#– of 10
The full small business standing →
Mid-marketThe figures above
The order flips: Quadient AR leads at mid-market.
Quadient AR10%#3 of 8
Chaser4%#6 of 8
The full mid-market standing →
Enterprise
Quadient AR leads by five points.
Quadient AR5%#3 of 8
Chaser0%#– of 8
The full enterprise standing →

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 seven in this category shown.

“Feedback points toward complex processes and a confusing user interface that requires many clicks for standard tasks.” Qwen 3.7 Flash · negative prompt · hard negative
“you want to avoid high-end enterprise AR suites (like HighRadius or Quadient/YayPay), which carry steep implementation fees” Gemini 3.5 Flash · budget prompt · hard negative
“Issues with payment/credit card failures (3–4 reviews), inconsistent support, invoicing glitches” Grok 4.1 Fast · negative prompt · soft negative
“The Best Overall for Mid-Market: Quadient AR (formerly YayPay)” GLM 4.7 FlashX · direct prompt · first choice
“Quadient AR (formerly YayPay) — Best overall for mid-market B2B” DeepSeek V4 Flash · direct prompt · first choice
“the strongest single pick is usually Quadient AR (YayPay)” Perplexity Sonar · direct prompt · first choice

What the models said about Chaser

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

“like Chaser, starting ~$95/month) ... often overkill for a tight budget” DeepSeek V4 Flash · budget prompt · soft negative
“Top-rated alternatives (fewer complaints): Chaser (4.9/5), Versapay, or Emagia for strong support/integration.” Grok 4.1 Fast · negative 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.