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Index › Spend and procurement › Accounts payable automat › Ramp vs Stampli
Accounts payable automation · October 2026 Edition

Ramp vs Stampli

Zero of fourteen models named Ramp first on the direct prompt; seven named Stampli. Both were named by all fourteen models and Ramp carries 45 labels and Stampli 42, so the shares are not directly comparable.

Ramp

accepted challenger

Named in seventeen categories this edition.

Stampli

accepted challenger

Named in nine categories this edition.

First-choice share22%22%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate9%5%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#2A position in a field of 10; printed, not drawn.
Labels4542A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Ramp reading right to left. Rank and label count are printed, not drawn.Tipalti was named alongside these two in twelve of the fourteen direct answers. Ramp vs BILL Accounts Payable · Ramp vs Tipalti · Ramp vs AvidXchange

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 payable 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.
RampFirst choices, of fourteen modelsStampli
Direct07
Paraphrase05
Comparative00
Budget-constrained130
Scale-constrained01
Negative004 against Ramp · 2 against Stampli
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 Ramp and Stampli 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
Ramp Stampli first choice named as an alternative argued againstblank: not namedEach cell is one answer, Ramp on the left and Stampli on the right.

The direct prompt

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

Stampli first, Ramp an alternative

7 of 14 modelsRamp was named in the answer but not as the choice, or not at all.
Gemini 3.5 FlashStampli alternatives: AvidXchange, Medius, Ramp, Tipalti
Perplexity SonarStampli, Tipalti alternatives: AvidXchange, BILL Accounts Payable, Corpay
Grok 4.1 FastBILL Accounts Payable, Stampli alternatives: AvidXchange, Ramp, Tipalti
DeepSeek V4 FlashStampli alternatives: Airbase, AvidXchange, Tipalti
Kimi K2BILL Accounts Payable, Stampli alternatives: Quadient AP, Ramp, Tipalti
MiniMax M2.5Stampli, Tipalti alternatives: BILL Accounts Payable, HighRadius, Ramp, Sage Intacct
GPT-6 LunaStampli alternatives: AvidXchange, BILL Accounts Payable, Ramp, Tipalti

Neither was the first choice, one was named

2 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5AvidXchange, MineralTree alternatives: Medius, Stampli, Tipalti
GLM 4.7 FlashXHighRadius alternatives: AvidXchange, BILL Accounts Payable, Payhawk, Quadient AP, Ramp, Stampli, Tipalti

Neither was named

5 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniTipalti alternatives: AvidXchange, Basware, Medius
Mistral SmallMedius, Tipalti alternatives: BILL Accounts Payable, Quadient AP, Softco
Llama 4 Maverickno first choice
Qwen 3.7 FlashBILL Accounts Payable alternatives: AvidXchange, Spendful, Tipalti, Vasario
Muse Glimmer 30BAirbase, AvidXchange alternatives: BILL Accounts Payable, Medius, MineralTree, a Global Payments company, Quadient AP, Rillion

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
Ramp leads by twenty-seven points.
Ramp27%#2 of 9
Stampli0%#6 of 9
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
Ramp22%#1 of 10
Stampli22%#2 of 10
The full mid-market standing →
Enterprise
The order flips: Stampli leads at enterprise.
Stampli4%#6 of 11
Ramp0%#11 of 11
The full enterprise standing →

What the models said about Ramp

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

“Ramp can be cost-effective for card-first teams, but finance teams needing robust, real-time AP-to-ERP workflows ... often find the AP layer thin.” Muse Glimmer 30B · negative prompt · soft negative

What the models said about Stampli

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

“Thin review base on some platforms (85 G2 reviews vs. 1,978 for competitors)—harder to validate claims” Kimi K2 · negative prompt · soft negative
“Slow approvals/processing, vendor edit challenges” Grok 4.1 Fast · negative prompt · soft negative
“Stampli: Best for collaborative AP, highly complex routing, handling manual exceptions, and companies with highly customized ERP structures.” Gemini 3.5 Flash · scale prompt · first choice
“If I had to pick one default recommendation without more context, it would be Stampli for a mid-sized B2B company” GPT-5.4 mini · paraphrase prompt · first choice
“Stampli and Tipalti emerge as top contenders, with Stampli excelling in collaboration and ERP integration” MiniMax M2.5 · 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.