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Business bill pay · November 2026 Edition

BILL vs AvidXchange

Seven of fourteen models named BILL first on the direct prompt; zero named AvidXchange. BILL was named by fourteen of the fourteen models and AvidXchange by twelve and BILL carries 64 labels and AvidXchange 22, so the shares are not directly comparable.

BILL

criticized default

Named in thirteen categories this edition.

AvidXchange

accepted challenger

Named in eleven categories this edition.

First-choice share33%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate27%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#6A position in a field of 9; printed, not drawn.
Labels6422A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, BILL 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. BILL vs Melio · BILL vs Ramp · BILL vs Stampli

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 business bill pay page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
BILLFirst choices, of fourteen modelsAvidXchange
Direct701 against BILL
Paraphrase811 against BILL
Comparative601 against BILL
Budget-constrained007 against BILL
Scale-constrained201 against BILL
Negative006 against BILL
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, BILL and AvidXchange were named in the same answer fifty-four times, of the 424 answers naming BILL and the 156 naming AvidXchange. In those answers AvidXchange took the first choice zero times and BILL thirteen.

Every model, every framing

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

The direct prompt

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

BILL first, AvidXchange an alternative

7 of 14 modelsAvidXchange was named in the answer but not as the choice, or not at all.
Perplexity SonarBILL alternatives: AvidXchange, Ramp, Stampli, Tipalti
Grok 4.20BILL alternatives: Ramp, Stampli, Tipalti
Mistral SmallBILL alternatives: HighRadius, Rippling Spend, Tipalti
Llama 4 MaverickBILL alternatives: HighRadius, Melio, Stampli, Tipalti
Qwen 3.7 FlashBILL alternatives: AvidXchange, Tipalti
GLM 4.7 FlashXBILL alternatives: HighRadius, Rillion
Muse Glimmer 30BBILL alternatives: AvidXchange, Rillion, Stampli, Tipalti

Neither was the first choice, one was named

6 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5HighRadius alternatives: BILL, EBizCharge, Tipalti, Versapay
Gemini 3.5 FlashTipalti alternatives: AvidXchange, BILL, Ramp, Stampli
DeepSeek V4 FlashStampli alternatives: AvidXchange, BILL, Ramp, Tipalti
Kimi K2Ramp alternatives: Airbase, BILL, Stampli, Tipalti
MiniMax M2.5Stampli, Tipalti alternatives: AvidXchange, HighRadius
GPT-6 LunaStampli alternatives: AvidXchange, BILL, Ramp, Tipalti

Neither was named

1 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniBILL AP/AR, Stampli alternatives: Ramp

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 leads by thirty points.
BILL30%#2 of 6
AvidXchange0%#– of 6
The full small business standing →
Mid-marketThe figures above
BILL leads by thirty-one points.
BILL33%#1 of 9
AvidXchange2%#6 of 9
The full mid-market standing →
Enterprise
BILL leads by eight points.
BILL8%#4 of 13
AvidXchange0%#8 of 13
The full enterprise standing →

What the models said about BILL

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

“What to Avoid on a Tight Budget - BILL (Bill.com) — Starts at $29–49/user/month and can get pricey quickly” DeepSeek V4 Flash · budget prompt · hard negative
“most reviewers were let down by their experience overall... severely delayed transactions, unexpected fees” Muse Glimmer 30B · negative prompt · hard negative
“I wouldn't start with BILL on a limited budget: its entry-level plan is $49 per user per month” GPT-6 Luna · budget prompt · hard negative
“For most mid-sized B2B companies, BILL is the top recommendation due to its balance of features, ease of use, and scalability.” Mistral Small · paraphrase prompt · first choice
“BILL is the best all-round B2B payment platform for growing companies that need real accounts payable and receivable automation” Claude Haiku 4.5 · comparative prompt · first choice

What the models said about AvidXchange

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

“AvidXchange - best all-around for mid-market AP control” Muse Glimmer 30B · paraphrase 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.