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Spend management platforms · October 2026 Edition

Ramp vs Payhawk

Eight of fourteen models named Ramp first on the direct prompt; one named Payhawk. Ramp was named by fourteen of the fourteen models and Payhawk by eleven and Ramp carries 66 labels and Payhawk 24, so the shares are not directly comparable.

Ramp

endorsed leader

Named in seventeen categories this edition.

Payhawk

accepted challenger

Named in seven categories this edition.

First-choice share44%6%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate12%4%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#4A position in a field of 12; printed, not drawn.
Labels6624A 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.Airbase was named alongside these two in nine of the fourteen direct answers. Ramp vs Airbase · Ramp vs BILL Spend & Expense · Ramp vs Spendesk

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 spend management platforms 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 modelsPayhawk
Direct81
Paraphrase71
Comparative70
Budget-constrained80
Scale-constrained11
Negative208 against Ramp · 1 against Payhawk
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 Payhawk 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 Payhawk first choice named as an alternative argued againstblank: not namedEach cell is one answer, Ramp on the left and Payhawk on the right.

The direct prompt

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

Ramp first, Payhawk an alternative

8 of 14 modelsPayhawk was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Ramp alternatives: Airbase, Brex, Corpay Complete, Coupa, Procurify
GPT-5.4 miniRamp alternatives: BILL Spend & Expense, Procurify, SAP Concur
Gemini 3.5 FlashRamp alternatives: Airbase, Brex, Navan, Payhawk, Spendesk
Mistral SmallAirbase, Ramp alternatives: Brex
DeepSeek V4 FlashRamp alternatives: Airbase, BILL Spend & Expense, Spendesk
Qwen 3.7 FlashCoupa, Ramp alternatives: BILL Spend & Expense, Procurify
Kimi K2Ramp alternatives: Airbase, Brex, Paylocity for Finance
GPT-6 LunaRamp alternatives: Brex, Coupa, Paylocity for Finance

Payhawk first, Ramp an alternative

1 of 14 modelsRamp was named in the answer but not as the choice, or not at all.
Perplexity SonarPayhawk alternatives: BILL Spend & Expense, Corpay Complete, Procurify, Ramp, Spendesk

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.
Llama 4 MaverickAirbase alternatives: AvidXchange, BILL Spend & Expense, Brex, Corpay Complete, Coupa, Payhawk, Ramp
Muse Glimmer 30BAirbase, Spendesk alternatives: Brex, Coupa, Ramp

Neither was named

3 of 14 modelsThe answer made no first choice from these two in this category.
Grok 4.1 FastProcurify alternatives: Airbase, BILL Spend & Expense, Spendwise
GLM 4.7 FlashXPrecoro alternatives: Airbase, Coupa, ProcureDesk, Procurify
MiniMax M2.5BILL Spend & Expense alternatives: Coupa, Rho, SAP Ariba

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 fifty-six points.
Ramp58%#1 of 9
Payhawk2%#4 of 9
The full small business standing →
Mid-marketThe figures above
Ramp leads by thirty-nine points.
Ramp44%#1 of 12
Payhawk6%#4 of 12
The full mid-market standing →
Enterprise
Ramp leads by five points.
Ramp11%#2 of 14
Payhawk5%#4 of 14
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. Three of three in this category shown.

“Users frequently cite issues with receipt management, such as problems with voiding transactions and unusable CSV exports.” Mistral Small · negative prompt · hard negative
“Many modern platforms (like Ramp and Brex) are "free" because they require you to migrate your company credit cards to their proprietary cards.” Gemini 3.5 Flash · negative prompt · soft negative
“Ramp: Excellent for fast-growing mid-market companies. Strong automation, great ERP integrations, flat-rate cashback... Very popular for consolidated card, AP, and expense.” Gemini 3.5 Flash · scale prompt · first choice

What the models said about Payhawk

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

“Many (e.g., Navan, Payhawk) require demos for quotes; watch for per-user fees” Grok 4.1 Fast · negative prompt · soft negative
“Payhawk is the best overall starting point for a mid-sized B2B company that wants genuine all-in-one spend control” Perplexity Sonar · paraphrase prompt · first choice
“a unified spend platform (like Payhawk or Airbase-type solutions) typically fits best” DeepSeek V4 Flash · scale 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.