One of twelve models named Mercury first on the direct prompt; one named Bank of America. Both were named by all twelve models and Mercury carries 43 labels and Bank of America 27, so the shares are not directly comparable.
Named in seven categories this edition.
Named in three categories this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 September 2026 Edition, Mercury and Bank of America were named in the same answer fifty-four times, of the 175 answers naming Mercury and the 89 naming Bank of America. In those answers Bank of America took the first choice two times and Mercury ten.
| 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 |
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. Six of seven in this category shown.
“Frequent account freezes/closure, slow support, funds held 60+ days | 15.4 negative reviews/month (4x industry average)” DeepSeek V4 Flash · negative prompt · hard negative
“neobanks (such as Mercury, Bluevine, or Novo) rely heavily on automated fraud-detection algorithms” Gemini 3.5 Flash · negative prompt · soft negative
“does not support physical branches or cash deposits” Perplexity Sonar · budget prompt · soft negative
“I'd usually recommend Mercury if your priority is a modern, startup-friendly banking platform” GPT-5.4 mini · paraphrase prompt · first choice
“For most mid-market B2B companies today, Mercury or Chase are the safest starting points” Kimi K2 · direct prompt · first choice
“Mercury, which is considered the best overall digital business banking platform for startups” Llama 4 Maverick · paraphrase prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Bank of America has the most complaints of any bank in the U.S., with customers reporting poor customer service, long wait times, excessive fees” Claude Haiku 4.5 · negative prompt · hard negative
“128k+ complaints, A- BBB but high unresolved issues (e.g., frozen funds, payment delays, account closures)” Grok 4.1 Fast · negative prompt · hard negative
“Relationship banking, SME/mid-market leader ... Recent Greenwich surveys rank Chase/BofA/JPM high for mid-market trust/service.” Grok 4.1 Fast · direct prompt · first choice
“stick to Chase or Bank of America” Gemini 3.5 Flash · comparative prompt · first choice
“Best if you need broad branch access and a familiar commercial platform: Bank of America Cash Management / CashPro” 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.