Zero of fourteen models named Rho first on the direct prompt; one named Bank of America. Rho was named by eleven of the fourteen models and Bank of America by fourteen and Rho carries 18 labels and Bank of America 31, so the shares are not directly comparable.
Named in six categories this edition.
Named in six categories this edition.
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.
Across every category in the November 2026 Edition, Rho and Bank of America were named in the same answer twenty-eight times, of the 156 answers naming Rho and the 131 naming Bank of America. In those answers Bank of America took the first choice three times and Rho four.
| 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 |
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.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“they're usually not a full substitute for a mid-market commercial banking relationship” GPT-5.4 mini · direct prompt · soft negative
“deserve extra due diligence rather than automatic avoidance” Perplexity Sonar · negative prompt · soft negative
“I'd shortlist Rho first. It combines business checking with accounts payable, corporate cards, expense management, and accounting integrations” GPT-6 Luna · paraphrase prompt · first choice
“Rho is positioned as the strongest fit for venture-backed startups and is built to grow without switching providers.” Muse Glimmer 30B · paraphrase prompt · first choice
“For venture-backed startups and mid-market companies, Rho is the strongest fit” Claude Haiku 4.5 · paraphrase prompt · first choice
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
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.