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Index › Receivables and billing › B2B credit management › Tesorio vs Gaviti
B2B credit management · October 2026 Edition

Tesorio vs Gaviti

Three of fourteen models named Tesorio first on the direct prompt; four named Gaviti. Tesorio was named by eleven of the fourteen models and Gaviti by eleven and Tesorio carries 17 labels and Gaviti 24, so the shares are not directly comparable.

Tesorio

accepted challenger

Named in seven categories this edition.

Gaviti

accepted challenger

Named in six categories this edition.

First-choice share14%12%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#3A position in a field of 10; printed, not drawn.
Labels1724A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Tesorio reading right to left. Rank and label count are printed, not drawn.Chaser vs Tesorio · Chaser vs Gaviti · Tesorio vs Creditsafe

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 B2B credit 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.
TesorioFirst choices, of fourteen modelsGaviti
Direct34
Paraphrase42
Comparative00
Budget-constrained00
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.

Across every category in the October 2026 Edition, Tesorio and Gaviti were named in the same answer thirty-three times, of the 158 answers naming Tesorio and the 137 naming Gaviti. In those answers Gaviti took the first choice four times and Tesorio nine.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Tesorio 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
GPT-6 Luna
Muse Glimmer 30B
Tesorio Gaviti first choice named as an alternative argued againstblank: not namedEach cell is one answer, Tesorio on the left and Gaviti on the right.

The direct prompt

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

Both were the first choice

1 of 14 modelsThe answer named them together, and the judge labeled each a first choice.
GLM 4.7 FlashXGaviti, Tesorio alternatives: Creditsafe, Esker, HighRadius Credit Cloud

Tesorio first, Gaviti an alternative

2 of 14 modelsGaviti was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Tesorio alternatives: Bectran, Gaviti, HighRadius Credit Cloud, Nuvo
Gemini 3.5 FlashTesorio alternatives: Bectran, Credit Pulse, Gaviti, Quadient AR, Resolve Pay

Gaviti first, Tesorio not the choice

3 of 14 modelsTesorio was named in the answer but not as the choice, or not at all.
Perplexity SonarGaviti alternatives: Creditsafe, HighRadius Credit Cloud, Quadient AR
Mistral SmallGaviti alternatives: Creditsafe, Onguard CreditManager
Muse Glimmer 30BGaviti alternatives: Credit Pulse, Onguard

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.
GPT-5.4 miniBilltrust alternatives: Creditsafe, Gaviti, Quadient AR, Upflow
Qwen 3.7 FlashOnguard alternatives: Chaser, Creditsafe, Gaviti, Nuvo
MiniMax M2.5Billtrust, Chaser alternatives: Credit Pulse, Gaviti
GPT-6 LunaBilltrust alternatives: CreditPoint, Gaviti, Moody's Trade Credit, Sidetrade

Neither was named

4 of 14 modelsThe answer made no first choice from these two in this category.
Grok 4.1 FastD&B Finance Analytics alternatives: Emagia, HighRadius Credit Cloud
DeepSeek V4 FlashNuvo alternatives: Billtrust, Chaser
Llama 4 MaverickChaser alternatives: Creditsafe, HighRadius Credit Cloud, Nuvo, Onguard
Kimi K2Quadient AR alternatives: HighRadius Credit Cloud, Resolve Pay

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 four points.
Gaviti4%#– of 11
Tesorio0%#– of 11
The full small business standing →
Mid-marketThe figures above
The order flips: Tesorio leads at mid-market.
Tesorio14%#2 of 10
Gaviti12%#3 of 10
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Tesorio0%#12 of 12
Gaviti0%#– of 12
The full enterprise standing →

What the models said about Tesorio

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

“Tesorio: Best for mid-market B2B companies with 5-to-50-person finance teams, offering rapid deployment and structured workflow management” Mistral Small · paraphrase prompt · first choice
“1. Tesorio - Tesorio is an AI-powered order-to-cash platform best suited for mid-market B2B companies” Claude Haiku 4.5 · 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.

“If you want a full invoice-to-cash and credit management platform with strong automation and usability, choose Gaviti.” Mistral Small · direct prompt · first choice
“I recommend starting with Tesorio or Gaviti as they're specifically designed for your market segment” GLM 4.7 FlashX · 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.