Finance AI Index
Index Spend and procurement Accounts payable automat › Stampli vs Tipalti
Accounts payable automation · September 2026 Edition

Stampli vs Tipalti

Three of twelve models named Stampli first on the direct prompt; three named Tipalti. Stampli was named by eleven of the twelve models and Tipalti by twelve and Stampli carries 37 labels and Tipalti 44, so the shares are not directly comparable.

Stampli

accepted challenger

Named in eight categories this edition.

Tipalti

accepted challenger

Named in twelve categories this edition.

First-choice share19%7%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%11%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#6A position in a field of 9; printed, not drawn.
Labels3744A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Stampli reading right to left. Rank and label count are printed, not drawn.AvidXchange was named alongside these two in eleven of the twelve direct answers. Stampli vs BILL · Stampli vs Melio · Stampli vs Ramp

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 payable 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.
StampliFirst choices, of twelve modelsTipalti
Direct33
Paraphrase50
Comparative01
Budget-constrained001 against Tipalti
Scale-constrained00
Negative104 against Tipalti
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, Stampli and Tipalti were named in the same answer 118 times, of the 152 answers naming Stampli and the 465 naming Tipalti. In those answers Tipalti took the first choice nineteen times and Stampli twelve.

Every model, every framing

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

The direct prompt

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

Both were the first choice

1 of 12 modelsThe answer named them together, and the judge labeled each a first choice.
DeepSeek V4 FlashStampli, Tipalti alternatives: AvidXchange, BILL, Precoro, Procurify

Stampli first, Tipalti an alternative

2 of 12 modelsTipalti was named in the answer but not as the choice, or not at all.
GPT-5.4 miniStampli alternatives: BILL, Ramp, Tipalti
Gemini 3.5 FlashStampli alternatives: Airbase, AvidXchange, Ramp, Tipalti

Tipalti first, Stampli an alternative

2 of 12 modelsStampli was named in the answer but not as the choice, or not at all.
Perplexity SonarTipalti alternatives: AvidXchange, Stampli
Mistral SmallTipalti alternatives: AvidXchange, BILL, Stampli

Neither was the first choice, one was named

7 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5AvidXchange, MineralTree alternatives: Airbase, Oracle NetSuite, Quadient AP, Ramp, Stampli
Grok 4.1 FastBILL alternatives: AvidXchange, Stampli, Tipalti
Llama 4 MaverickMedius alternatives: AvidXchange, Stampli, Tipalti
Qwen 3.7 FlashBILL alternatives: AvidXchange, Medius, Tipalti
Kimi K2AvidXchange alternatives: BILL, MineralTree, Stampli, Tipalti
GLM 4.7 FlashXAvidXchange alternatives: BILL, Ramp, Stampli, SutiAP, Tipalti
MiniMax M2.5Procurify alternatives: AvidXchange, Medius, Stampli, Tipalti

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.
Stampli0%#6 of 8
Tipalti0%#7 of 8
The full small business standing →
Mid-marketThe figures above
Stampli leads by twelve points.
Stampli19%#1 of 9
Tipalti7%#6 of 9
The full mid-market standing →
Enterprise
The order flips: Tipalti leads at enterprise.
Tipalti18%#1 of 11
Stampli2%#9 of 11
The full enterprise standing →

What the models said about Stampli

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

“I'd start with Stampli. It's the strongest "classic AP automation" choice for mid-market companies” GPT-5.4 mini · direct prompt · first choice
“Stampli (best for ERP integration and conversational AI that actually works on messy invoices)” DeepSeek V4 Flash · negative prompt · first choice

What the models said about Tipalti

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

“This is a cash-flow killer and was a major downfall for tools like Tipalti and Airbase.” Qwen 3.7 Flash · negative prompt · hard negative
“Reddit users strongly advise avoiding it.” Grok 4.1 Fast · negative prompt · hard negative
“Over-Engineering and High Cost: If you only pay domestic vendors, Tipalti is incredibly expensive, complex, and unnecessary.” Gemini 3.5 Flash · negative prompt · soft negative
“If you want a single default recommendation, I'd start with Tipalti for a typical mid-market B2B company” Perplexity Sonar · 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.