Business banking · November 2026 Edition
Mercury vs Bank of America
One of fourteen models named Mercury first on the direct prompt; one named Bank of America. Both were named by all fourteen models and Mercury carries 45 labels and Bank of America 31, so the shares are not directly comparable.
Named in four categories this edition.
Named in six categories this edition.
First-choice share17%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate16%26%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#8A position in a field of 16; printed, not drawn.
Labels4531A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Mercury reading right to left. Rank and label count are printed, not drawn.Mercury vs Bluevine · Mercury vs Brex · Mercury vs Rho
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 banking page.
By framing
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
MercuryFirst choices, of fourteen modelsBank of America
Direct11
Paraphrase601 against Bank of America
Comparative10
Budget-constrained201 against Bank of America
Scale-constrained00
Negative007 against Mercury · 6 against Bank of America
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, Mercury and Bank of America were named in the same answer sixty-four times, of the 201 answers naming Mercury and the 131 naming Bank of America. In those answers Bank of America took the first choice four times and Mercury nine.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Mercury and Bank of America 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 4.20 | | | | | ||
| 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 | | | | |
Mercury Bank of America first choice named as an alternative argued againstblank: not namedEach cell is one answer, Mercury on the left and Bank of America on the right.The direct prompt
The plain question, one answer per model, grouped by where Mercury and Bank of America stood in it.
Mercury first, Bank of America not the choice
1 of 14 modelsBank of America was named in the answer but not as the choice, or not at all.Qwen 3.7 FlashCamber, Mercury alternatives: Bank of America Business Advantage Fundamentals, Signature Bank, TD Bank Business Checking, Umpqua Bank
Bank of America first, Mercury an alternative
1 of 14 modelsMercury was named in the answer but not as the choice, or not at all.Grok 4.20Bank of America alternatives: Bluevine, Brex, Chase Business Banking, Citibank, Mercury, PNC Bank, Texas Capital Bank
Neither was the first choice, one was named
8 of 14 modelsThe answer put something else first and named one of the two as an alternative.Claude Haiku 4.5Brex alternatives: Chase Business Banking, Mercury, Relay
GPT-5.4 miniJ.P. Morgan Commercial Banking alternatives: Bank of America
Perplexity SonarChase Commercial Banking alternatives: Airwallex, Bank of America, Brex, Mercury, Ramp, Rho, U.S. Bank
DeepSeek V4 FlashChase Performance Business Checking alternatives: Capital One Enhanced Checking, KeyBank Business Reward Checking, Mercury, PNC Bank, Rho
Kimi K2Brex alternatives: Bank of America, First Internet Bank, Mercury
MiniMax M2.5Chase Performance Business Checking alternatives: American Express Business Checking, Mercury, PNC Bank, TD Business Premier Checking
GPT-6 LunaJ.P. Morgan Commercial Banking alternatives: Bank of America, Citibank
Muse Glimmer 30BPNC Bank alternatives: Bank of America, Brex, First Internet Bank
Neither was named
4 of 14 modelsThe answer made no first choice from these two in this category.Gemini 3.5 FlashJPMorgan Chase – Middle Market Banking & Specialized Industries alternatives: Bank of America Global Commercial Banking, Brex, PNC Bank – Treasury Management, Ramp, Silicon Valley Bank, Wells Fargo – Commercial Banking
Mistral SmallPNC Bank, TD Business Premier Checking alternatives: Axos Bank Basic Business Checking, Capital One Business Savings & Checking, Chase Business Banking
Llama 4 Maverickno first choice
GLM 4.7 FlashXBank of America - Business Advantage 360, PNC Bank - Treasury Enterprise Plan alternatives: Chase - Performance Business Checking, First Internet Bank - Commercial Analyzed Checking, Frost Business Checking Plus
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
Mercury leads by forty-one points.
Mercury41%#1 of 14Bank of America0%#12 of 14Mid-marketThe figures above
Mercury leads by fifteen points.
Mercury17%#1 of 16Bank of America2%#8 of 16Enterprise
The order flips: Bank of America leads at enterprise.
Bank of America8%#4 of 13Mercury6%#6 of 13What the models said about Mercury
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Be cautious with online-focused or fintech business banking providers like Mercury, Bluevine, and Relay.” Grok 4.20 · negative prompt · hard negative
“For Mercury, Bluevine, Novo, Relay, and similar app-first providers, I wouldn't say "avoid" across the board. I would treat them as products to vet carefully” GPT-6 Luna · negative prompt · soft negative
“they carry significant structural risks for small-to-mid-sized businesses... they can terminate your business relationship at any time” Qwen 3.7 Flash · negative prompt · soft negative
“Start with Mercury (treasury + invoicing + payroll) or Bluevine (low fees + high yields). Both have strong track records” GLM 4.7 FlashX · paraphrase prompt · first choice
“Choose a Tech-First Neobank (e.g., Mercury) if: You are a VC-backed startup, tech company, or SaaS business.” Gemini 3.5 Flash · comparative prompt · first choice
What the models said about Bank of America
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of five in this category shown.
“Receives a high volume of complaints, often regarding fees and customer service” Claude Haiku 4.5 · negative prompt · hard negative
“Bank of America: It has an enforcement order that has not been terminated.” Llama 4 Maverick · negative prompt · hard negative
“Start with Bank of America for a balanced, proven mid-market solution” Grok 4.20 · direct prompt · first choice
“Traditional banks (Chase, Wells Fargo, Bank of America, regional banks) can offer more comprehensive commercial lending.” DeepSeek V4 Flash · scale prompt · alternative
“is also a strong option, especially if you want broad treasury services and a large U.S. branch footprint” GPT-5.4 mini · direct prompt · alternative
Also compared
Mercury vs BluevineMercury vs BrexMercury vs RhoMercury vs PNC BankMercury vs American Express Business CheckingMercury vs Axos Bank Basic Business CheckingBluevine vs Bank of AmericaBrex vs Bank of AmericaRho vs Bank of AmericaPNC Bank vs Bank of AmericaAmerican Express Business Checking vs Bank of AmericaAxos Bank Basic Business Checking vs Bank of AmericaAll twenty-eight head-to-head pages and the full business banking 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.