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Index › Finance › Spend and procurement › Expense management › Ramp vs BILL Spend & Expense
Expense management · November 2026 Edition

Ramp vs BILL Spend & Expense

Nine of fourteen models named Ramp first on the direct prompt; zero named BILL Spend & Expense. Both were named by all fourteen models and Ramp carries 59 labels and BILL Spend & Expense 43, so the shares are not directly comparable.

Ramp

endorsed leader

Named in sixteen categories this edition.

BILL Spend & Expense

accepted challenger

Named in four categories this edition.

First-choice share31%6%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate5%7%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.
Labels5943A 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.Brex was named alongside these two in nine of the fourteen direct answers. Ramp vs Zoho Expense · Ramp vs Expensify · Ramp vs Rippling Spend

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 expense management 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 modelsBILL Spend & Expense
Direct90
Paraphrase40
Comparative51
Budget-constrained22
Scale-constrained11
Negative003 against Ramp · 3 against BILL Spend & Expense
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.

Across every category in the November 2026 Edition, Ramp and BILL Spend & Expense were named in the same answer 336 times, of the 1022 answers naming Ramp and the 363 naming BILL Spend & Expense. In those answers BILL Spend & Expense took the first choice thirty-one times and Ramp 137.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Ramp and BILL Spend & Expense 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
Ramp BILL Spend & Expense first choice named as an alternative argued againstblank: not namedEach cell is one answer, Ramp on the left and BILL Spend & Expense on the right.

The direct prompt

The plain question, one answer per model, grouped by where Ramp and BILL Spend & Expense stood in it.

Ramp first, BILL Spend & Expense an alternative

9 of 14 modelsBILL Spend & Expense was named in the answer but not as the choice, or not at all.
GPT-5.4 miniRamp alternatives: Brex, Navan, Rippling Spend, SAP Concur
Gemini 3.5 FlashRamp alternatives: Airbase, Brex, Navan
Perplexity SonarRamp alternatives: BILL Spend & Expense, Expensify, ITILITE, Navan, Rydoo, Spendesk, Zoho Expense
Grok 4.20Ramp alternatives: BILL Spend & Expense, Brex, Expensify, Zoho Expense
Mistral SmallBrex, Expensify, Ramp alternatives: BILL Spend & Expense, Navan, Rippling Spend
DeepSeek V4 FlashRamp alternatives: BILL Spend & Expense, Brex, Expensify, Zoho Expense
Kimi K2Ramp alternatives: BILL Spend & Expense, Brex, Expensify, Zoho Expense
MiniMax M2.5Expensify, Ramp alternatives: Navan, SAP Concur, Zoho Expense
GPT-6 LunaRamp alternatives: Brex, Navan, SAP Concur

Neither was the first choice, one was named

3 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Qwen 3.7 FlashRippling Spend alternatives: BILL Spend & Expense, Navan, Ramp
GLM 4.7 FlashXZoho Expense alternatives: BILL Spend & Expense, Brex, Expensify, Ramp
Muse Glimmer 30BZoho Expense alternatives: Brex, Expensify, Navan, Ramp, SAP Concur

Neither was named

2 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5no first choice alternatives: Airbase, Paylocity, Rydoo, Spendesk
Llama 4 Maverickno first choice

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 six points.
Ramp19%#2 of 10
BILL Spend & Expense13%#4 of 10
The full small business standing →
Mid-marketThe figures above
Ramp leads by twenty-five points.
Ramp31%#1 of 12
BILL Spend & Expense6%#4 of 12
The full mid-market standing →
Enterprise
Ramp leads by sixteen points.
Ramp16%#2 of 12
BILL Spend & Expense0%#11 of 12
The full enterprise standing →

What the models said about Ramp

No label in this category carried a quote.

What the models said about BILL Spend & Expense

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

“the two I'd most strongly caution against based on user experiences” DeepSeek V4 Flash · negative prompt · hard negative
“Choose Ramp or BILL Spend & Expense if: You qualify for corporate cards and want an end-to-end software platform with $0 fees.” Gemini 3.5 Flash · budget prompt · first choice
Also compared
Ramp vs Zoho ExpenseRamp vs ExpensifyRamp vs Rippling SpendRamp vs NavanRamp vs BrexRamp vs EmburseZoho Expense vs BILL Spend & ExpenseExpensify vs BILL Spend & ExpenseBILL Spend & Expense vs Rippling SpendBILL Spend & Expense vs NavanBILL Spend & Expense vs BrexBILL Spend & Expense vs EmburseAll twenty-eight head-to-head pages and the full expense management 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.