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Chargeback management · November 2026 Edition

HighRadius vs Justt

One of fourteen models named HighRadius first on the direct prompt; two named Justt. HighRadius was named by ten of the fourteen models and Justt by eleven and HighRadius carries 13 labels and Justt 23, so the shares are not directly comparable.

HighRadius

accepted challenger

Named in twenty-one categories this edition.

Justt

accepted challenger

Named in two categories this edition.

First-choice share15%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate15%9%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#7A position in a field of 15; printed, not drawn.
Labels1323A 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.Chargeflow was named alongside these two in nine of the fourteen direct answers. Chargeblast vs HighRadius · Chargeblast vs Justt · Chargeflow vs HighRadius

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 chargeback management page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
HighRadiusFirst choices, of fourteen modelsJustt
Direct121 against Justt
Paraphrase602 against HighRadius
Comparative01
Budget-constrained00
Scale-constrained10
Negative001 against Justt
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 HighRadius and Justt 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
HighRadius Justt first choice named as an alternative argued againstblank: not namedEach cell is one answer, HighRadius on the left and Justt on the right.

The direct prompt

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

HighRadius first, Justt not the choice

1 of 14 modelsJustt was named in the answer but not as the choice, or not at all.
MiniMax M2.5HighRadius alternatives: ChargebackStop, Midigator

Justt first, HighRadius not the choice

2 of 14 modelsHighRadius was named in the answer but not as the choice, or not at all.
Mistral SmallJustt, Midigator alternatives: ChargebackStop, Chargeblast
GPT-6 LunaJustt alternatives: Chargeflow, Kount Chargeback Management

Neither was the first choice, one was named

4 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Chargebacks911 alternatives: Chargeflow, Justt, Midigator, Verifi
GPT-5.4 miniChargeback Gurus alternatives: Justt, Kount Chargeback Management, Signifyd
Grok 4.20Midigator alternatives: ChargebackStop, Chargeblast, Chargeflow, Justt
DeepSeek V4 FlashChargebacks911, Chargeblast alternatives: Justt

Neither was named

7 of 14 modelsThe answer made no first choice from these two in this category.
Gemini 3.5 FlashChargeflow alternatives: Chargebacks911, HighRadius Dispute & Deduction Management, Kount Chargeback Management, Midigator, iNymbus
Perplexity SonarChargebacks911 alternatives: Chargeflow, Quavo
Llama 4 MaverickChargebackStop, Chargeblast, Midigator
Qwen 3.7 FlashChargeblast alternatives: Chargeback Gurus, Chargebacks911, Chargeflow, Ethoca
Kimi K2MidMetrics alternatives: ChargeMate, Chargebacks911, Chargeflow, Disputifier
GLM 4.7 FlashXChargeflow alternatives: ChargebackStop, Chargeblast
Muse Glimmer 30BChargebackStop, Chargeblast alternatives: Chargebacks911, Chargeflow, Ethoca, Midigator, Verifi

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
Justt leads by two points.
Justt2%#– of 15
HighRadius0%#– of 15
The full small business standing →
Mid-marketThe figures above
The order flips: HighRadius leads at mid-market.
HighRadius15%#3 of 15
Justt4%#7 of 15
The full mid-market standing →
Enterprise
HighRadius leads by twenty points.
HighRadius25%#2 of 14
Justt5%#4 of 14
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. One of one in this category shown.

“HighRadius is the most widely recognized name in enterprise-grade dispute automation... I recommend requesting demos from Kolleno and HighRadius” Qwen 3.7 Flash · paraphrase prompt · first choice

What the models said about Justt

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

“Most mainstream chargeback tools (Chargeblast, Chargeflow, Justt) are built for ecommerce merchants... those tools won't fit your workflows.” MiniMax M2.5 · direct prompt · soft negative
“No published G2 rating for third-party validation, custom pricing may lack transparency” Claude Haiku 4.5 · negative prompt · soft negative
“Justt is another top choice, especially for subscription-based businesses” Mistral Small · direct prompt · first choice
“Choose Chargeflow or Justt for automated post-chargeback recovery.” Perplexity Sonar · comparative prompt · first choice
“My default pick: Justt” GPT-6 Luna · direct 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.