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Procure-to-pay · September 2026 Edition

Tradogram vs Stampli

Zero of twelve models named Tradogram first on the direct prompt; one named Stampli. Tradogram was named by eleven of the twelve models and Stampli by eight and Tradogram carries 18 labels and Stampli 10, so the shares are not directly comparable.

Tradogram

accepted challenger

Named in four categories this edition.

Stampli

accepted challenger

Named in eight categories this edition.

First-choice share6%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%10%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#7A position in a field of 12; printed, not drawn.
Labels1810A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Tradogram reading right to left. Rank and label count are printed, not drawn.Procurify was named alongside these two in twelve of the twelve direct answers. Procurify vs Tradogram · Procurify vs Stampli · Ramp vs Tradogram

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 procure-to-pay page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
TradogramFirst choices, of twelve modelsStampli
Direct011 against Stampli
Paraphrase10
Comparative00
Budget-constrained20
Scale-constrained00
Negative00
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.

Every model, every framing

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

The direct prompt

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

Stampli first, Tradogram not the choice

1 of 12 modelsTradogram was named in the answer but not as the choice, or not at all.
Kimi K2Procurify, Stampli alternatives: Precoro

Neither was named

11 of 12 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5ProcureDesk alternatives: Procurify, Rillion
GPT-5.4 miniProcurify alternatives: Order.co, ProcureDesk, Tipalti
Gemini 3.5 FlashProcurify alternatives: Precoro, Ramp, Tipalti, Zip
Perplexity SonarProcureDesk alternatives: Precoro, Procurify, Ramp, Rillion
Grok 4.1 FastProcurify alternatives: Fraxion, Precoro, Ramp
Mistral SmallPrecoro, Procurify alternatives: APSentra, Coupa, Ramp
DeepSeek V4 FlashProcurify alternatives: GEP SMART, Precoro
Llama 4 MaverickAPSentra, Procurify, Ramp
Qwen 3.7 FlashProcurify alternatives: APSentra, Fraxion, Oracle NetSuite
GLM 4.7 FlashXProcurify alternatives: APSentra, Precoro, ProcureDesk
MiniMax M2.5APSentra alternatives: Precoro, Procurify

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
Tradogram leads by eight points.
Tradogram10%#4 of 9
Stampli2%#– of 9
The full small business standing →
Mid-marketThe figures above
Tradogram leads by four points.
Tradogram6%#4 of 12
Stampli2%#7 of 12
The full mid-market standing →
Enterprise
The order flips: Stampli leads at enterprise.
Stampli4%#– of 7
Tradogram0%#– of 7
The full enterprise standing →

What the models said about Tradogram

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

“I'd suggest starting with Ramp ... or Tradogram if you need more robust procurement features at a low monthly cost” MiniMax M2.5 · budget prompt · first choice

What the models said about Stampli

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

“Best as a focused AP add\u2011on, not a full P2P replacement.” GLM 4.7 FlashX · direct prompt · soft negative
Also compared
Procurify vs TradogramProcurify vs StampliRamp vs TradogramRamp vs StampliPrecoro vs TradogramPrecoro vs StampliTradogram vs ProcureDeskTradogram vs TipaltiTradogram vs CoupaProcureDesk vs StampliTipalti vs StampliStampli vs CoupaAll twenty-eight head-to-head pages and the full procure-to-pay 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.