Finance AI Index
Index Receivables and billing Cash application › Esker vs Gaviti
Cash application · September 2026 Edition

Esker vs Gaviti

Three of twelve models named Esker first on the direct prompt; zero named Gaviti. Esker was named by eleven of the twelve models and Gaviti by eight and Esker carries 22 labels and Gaviti 13, so the shares are not directly comparable.

Esker

criticized challenger

Named in six categories this edition.

Gaviti

accepted challenger

Named in four categories this edition.

First-choice share7%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate27%15%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#7A position in a field of 10; printed, not drawn.
Labels2213A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Esker reading right to left. Rank and label count are printed, not drawn.HighRadius was named alongside these two in seven of the twelve direct answers. HighRadius vs Esker · HighRadius vs Gaviti · Versapay 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.
EskerFirst choices, of twelve modelsGaviti
Direct30
Paraphrase001 against Gaviti
Comparative00
Budget-constrained014 against Esker · 1 against Gaviti
Scale-constrained001 against Esker
Negative001 against Esker
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.

Across every category in the September 2026 Edition, Esker and Gaviti were named in the same answer twenty-five times, of the 167 answers naming Esker and the 93 naming Gaviti. In those answers Gaviti took the first choice five times and Esker four.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where Esker and Gaviti 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
Esker Gaviti first choice named as an alternative argued againstblank: not namedEach cell is one answer, Esker on the left and Gaviti on the right.

The direct prompt

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

Esker first, Gaviti an alternative

3 of 12 modelsGaviti was named in the answer but not as the choice, or not at all.
Grok 4.1 FastEsker alternatives: Billtrust, Gaviti, HighRadius, Quadient Accounts Receivable
DeepSeek V4 FlashEsker, HighRadius alternatives: Gaviti, Monk, Versapay
GLM 4.7 FlashXEsker, Kolleno alternatives: Chaser, Gaviti, Monk, Quadient Accounts Receivable, Serrala, Stuut, Transparency / Transformance, Versapay

Neither was named

9 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
GPT-5.4 miniHighRadius alternatives: BlackLine Cash Application, Sidetrade
Gemini 3.5 FlashQuadient Accounts Receivable alternatives: Stuut, Tesorio, Upflow, Versapay
Perplexity SonarHighRadius alternatives: Billtrust, Kolleno, Upflow
Mistral SmallUpflow alternatives: Bluecopa, Cashbook, Chaser
Llama 4 MaverickUpflow alternatives: Bluecopa, Cashbook, Chaser, Lunos
Qwen 3.7 FlashHighRadius alternatives: AtoBi, BlackLine Cash Application, Trintech
Kimi K2HighRadius alternatives: Billtrust, Chaser, Versapay
MiniMax M2.5HighRadius alternatives: Monk

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
Gaviti leads by ten points.
Gaviti10%#3 of 10
Esker0%#8 of 10
The full small business standing →
Mid-marketThe figures above
The order flips: Esker leads at mid-market.
Esker7%#5 of 10
Gaviti2%#7 of 10
The full mid-market standing →
Enterprise
Esker leads by three points.
Esker3%#3 of 7
Gaviti0%#– of 7
The full enterprise standing →

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 the usual enterprise leaders like HighRadius, Billtrust, and Esker” Perplexity Sonar · budget prompt · hard negative
“Enterprise-class, custom-priced, typically six figures annually.” DeepSeek V4 Flash · budget prompt · hard negative
“1. Esker (G2: 4.3–4.5/5; Gartner Leader in Invoice-to-Cash 2024) ... Enterprise-grade AI automation for cash matching” Grok 4.1 Fast · direct prompt · first choice
“Esker or HighRadius are the safest bets if you want a proven, scalable platform” DeepSeek V4 Flash · direct prompt · first choice
“Kolleno and Esker are strong, mid‑market‑focused all‑rounders.” GLM 4.7 FlashX · direct prompt · first choice

What the models said about Gaviti

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

“lowest invoice-matching accuracy score (6.9/10) among major peers. If matching is your core problem, look elsewhere.” DeepSeek V4 Flash · paraphrase prompt · soft negative
“AI-powered cash application, but may be overkill for very small budgets” MiniMax M2.5 · budget prompt · soft negative
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.