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Index › Finance › Receivables and billing › Accounts receivable auto › Kolleno vs Tesorio
Accounts receivable automation · November 2026 Edition

Kolleno vs Tesorio

Zero of fourteen models named Kolleno first on the direct prompt; zero named Tesorio. Kolleno was named by nine of the fourteen models and Tesorio by twelve and Kolleno carries 11 labels and Tesorio 32, so the shares are not directly comparable.

Kolleno

accepted challenger

Named in five categories this edition.

Tesorio

accepted challenger

Named in five categories this edition.

First-choice share8%3%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate9%3%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#7A position in a field of 13; printed, not drawn.
Labels1132A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Kolleno reading right to left. Rank and label count are printed, not drawn.Upflow was named alongside these two in thirteen of the fourteen direct answers. Upflow vs Kolleno · Upflow vs Tesorio · Zoho Books vs Kolleno

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 accounts receivable automation page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
KollenoFirst choices, of fourteen modelsTesorio
Direct00
Paraphrase52
Comparative00
Budget-constrained001 against Kolleno
Scale-constrained00
Negative001 against Tesorio
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 Kolleno and Tesorio 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
Kolleno Tesorio first choice named as an alternative argued againstblank: not namedEach cell is one answer, Kolleno on the left and Tesorio on the right.

The direct prompt

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

Neither was the first choice, one was named

6 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashVersapay alternatives: Billtrust, Gaviti, HighRadius, Quadient AR, Tesorio, Upflow
Qwen 3.7 FlashHighRadius alternatives: Monk, Tesorio, Upflow, Versapay
Kimi K2Billtrust, Upflow alternatives: Quadient AR, Tesorio, Versapay
GLM 4.7 FlashXHighRadius alternatives: BILL Accounts Receivable, Billtrust, Plooto, Tesorio, Upflow, Versapay
GPT-6 LunaBilltrust alternatives: HighRadius RadiusOne, Tesorio, Upflow, Versapay
Muse Glimmer 30BHighRadius, Upflow alternatives: Billtrust, Centime, Tesorio, Versapay

Neither was named

8 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Billtrust, Quadient AR alternatives: Gaviti, Invoiced, Versapay
GPT-5.4 miniBilltrust, Upflow alternatives: Gaviti, HighRadius
Perplexity SonarUpflow alternatives: HighRadius, Versapay
Grok 4.20Versapay alternatives: Billtrust, Upflow
Mistral SmallBilltrust, Versapay alternatives: BILL Accounts Receivable, Quadient AR, Upflow
DeepSeek V4 FlashVersapay alternatives: Billtrust, Upflow
Llama 4 MaverickUpflow alternatives: BILL Accounts Receivable, HighRadius, Paidnice
MiniMax M2.5Billtrust alternatives: Emagia, Paidnice, Tabs, Upflow

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
Level: the same share of first choices.
Kolleno0%#– of 15
Tesorio0%#– of 15
The full small business standing →
Mid-marketThe figures above
Kolleno leads by five points.
Kolleno8%#5 of 13
Tesorio3%#7 of 13
The full mid-market standing →
Enterprise
The order flips: Tesorio leads at enterprise.
Tesorio2%#7 of 12
Kolleno0%#– of 12
The full enterprise standing →

What the models said about Kolleno

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

“most specialized AR tools (like Chaser or Kolleno) start at $259+/month” DeepSeek V4 Flash · budget prompt · soft negative
“The recommended collections management tool for a mid-sized B2B company is Kolleno” Llama 4 Maverick · paraphrase prompt · first choice
“Start with Kolleno or Upflow for most mid-sized B2B companies.” Kimi K2 · paraphrase prompt · first choice

What the models said about Tesorio

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

“Tesorio if supplier-portal coverage is central to your process... limited to named platforms such as Coupa and Ariba” Perplexity Sonar · negative prompt · soft negative
“If your company values AI-driven insights and forecasting, Tesorio or Upflow may be best.” Mistral Small · paraphrase prompt · first choice
“I'd generally recommend Upflow or Tesorio as the first places to look.” GPT-5.4 mini · paraphrase prompt · first choice
Also compared
Upflow vs KollenoUpflow vs TesorioZoho Books vs KollenoZoho Books vs TesorioVersapay vs KollenoVersapay vs TesorioBilltrust vs KollenoBilltrust vs TesorioKolleno vs HighRadiusKolleno vs ChaserHighRadius vs TesorioTesorio vs ChaserAll twenty-eight head-to-head pages and the full accounts receivable auto standing

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.