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Expense management · October 2026 Edition

BILL Spend & Expense vs Brex

Zero of fourteen models named BILL Spend & Expense first on the direct prompt; one named Brex. Both were named by all fourteen models and BILL Spend & Expense carries 46 labels and Brex 34, so the shares are not directly comparable.

BILL Spend & Expense

accepted challenger

Named in six categories this edition.

Brex

accepted challenger

Named in eleven categories this edition.

First-choice share6%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.

Negative rate11%12%Negative labels as a share of the product's labels, 0 to 100.

Rank in category#4#5A position in a field of 11; printed, not drawn.

Labels4634A count; the two differ.

The two percentage rows are drawn on one 0 to 100 track, BILL Spend & Expense reading right to left. Rank and label count are printed, not drawn.Ramp was named alongside these two in ten of the fourteen direct answers. Ramp vs BILL Spend & Expense · Ramp vs Brex · Zoho Expense vs BILL Spend & Expense

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.

BILL Spend & ExpenseFirst choices, of fourteen modelsBrex

Direct01

Paraphrase10

Comparative01

Budget-constrained20

Scale-constrained01

Negative005 against BILL Spend & Expense · 4 against Brex

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 October 2026 Edition, BILL Spend & Expense and Brex were named in the same answer 230 times, of the 360 answers naming BILL Spend & Expense and the 672 naming Brex. In those answers Brex took the first choice twenty-one times and BILL Spend & Expense twenty-seven.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where BILL Spend & Expense and Brex stood in it.

Model	Direct	Paraphrase	Comparative	Budget-constrained	Scale-constrained	Negative
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

BILL Spend & Expense

Brex

first choice

named as an alternative

argued againstblank: not namedEach cell is one answer, BILL Spend & Expense on the left and Brex on the right.

The direct prompt

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

Brex first, BILL Spend & Expense an alternative

1 of 14 modelsBILL Spend & Expense was named in the answer but not as the choice, or not at all.

Qwen 3.7 FlashBrex, Ramp alternatives: BILL Spend & Expense, Expensify, Rydoo

Neither was the first choice, one was named

9 of 14 modelsThe answer put something else first and named one of the two as an alternative.

Claude Haiku 4.5Ramp, Spendesk alternatives: Airbase, BILL Spend & Expense, Brex, Navan

GPT-5.4 miniRippling Spend alternatives: Brex, Navan, Payhawk, Ramp, SAP Concur

Gemini 3.5 FlashRamp alternatives: Airbase, Brex, Navan, Rippling Spend

Perplexity SonarPayhawk alternatives: BILL Spend & Expense, Expensify, Procurify, SAP Concur

Mistral SmallAirbase alternatives: BILL Spend & Expense, Eco, Ramp

DeepSeek V4 FlashAirbase, Ramp alternatives: Brex, Payhawk

Kimi K2Expensify, Ramp alternatives: Brex, Emburse

MiniMax M2.5Expensify, Rippling Spend, SAP Concur alternatives: Airwallex, BILL Spend & Expense, Navan, Paylocity, Ramp

GPT-6 LunaRamp alternatives: Brex, Navan, SAP Concur

Neither was named

4 of 14 modelsThe answer made no first choice from these two in this category.

Grok 4.1 FastNavan alternatives: Expensify, Rippling Spend

Llama 4 Maverickno first choice

GLM 4.7 FlashXAirbase, Ramp alternatives: Expensify, Rippling Spend, SAP Concur, Zoho Expense

Muse Glimmer 30BNavan, SAP Concur alternatives: Airbase, Paylocity, Rippling Spend, Rydoo

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

BILL Spend & Expense leads by eleven points.

BILL Spend & Expense#4 of 8

Brex#5 of 8

The full small business standing →

Mid-marketThe figures above

BILL Spend & Expense leads by two points.

BILL Spend & Expense#4 of 11

Brex#5 of 11

The full mid-market standing →

Enterprise

BILL Spend & Expense leads by four points.

BILL Spend & Expense#4 of 10

Brex#8 of 10

The full enterprise standing →

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. One of one in this category shown.

“BILL/Divvy (bugs and support)” DeepSeek V4 Flash · negative prompt · hard negative

What the models said about Brex

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

“Brex (Avoid if you are a bootstrapped or traditional small business)” Gemini 3.5 Flash · negative prompt · hard negative

Also compared

Ramp vs BILL Spend & Expense Ramp vs Brex Zoho Expense vs BILL Spend & Expense Zoho Expense vs Brex Expensify vs BILL Spend & Expense Expensify vs Brex BILL Spend & Expense vs Navan BILL Spend & Expense vs Rippling Spend BILL Spend & Expense vs SAP Concur Brex vs Navan Brex vs Rippling Spend Brex vs SAP Concur All 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.