DailyPay vs Dave
One of twelve models named DailyPay first on the direct prompt; zero named Dave. DailyPay was named by twelve of the twelve models and Dave by ten and DailyPay carries 41 labels and Dave 15, so the shares are not directly comparable.
Named in one category this edition.
Named in one category 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 earned wage access page.
By framing
DailyPayFirst choices, of twelve modelsDave
Across every category in the September 2026 Edition, DailyPay and Dave were named in the same answer twenty times, of the 138 answers naming DailyPay and the 24 naming Dave. In those answers Dave took the first choice one time and DailyPay six.
Every model, every framing
| 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 | | |
DailyPay Dave first choice named as an alternative argued againstblank: not namedEach cell is one answer, DailyPay on the left and Dave on the right.The direct prompt
DailyPay first, Dave not the choice
1 of 12 modelsDave was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
4 of 12 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
7 of 12 modelsThe answer made no first choice from these two in this category.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
What the models said about DailyPay
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“DailyPay: Sued by New York AG (Apr 2025) alongside MoneyLion for high fees ... violating usury laws. High BBB/CFPB complaints” Grok 4.1 Fast · negative prompt · hard negative
“Sued by NY AG (April 2025) | Usurious interest rates; illegal payday lending” Kimi K2 · negative prompt · hard negative
“Intercept models* (like DailyPay) route the employee’s entire paycheck through a designated account first... deduction models are usually much easier” Gemini 3.5 Flash · direct prompt · soft negative
“DailyPay is considered the strongest overall pick for large enterprises already running ADP, Workday, or UKG, due to its deep payroll integration bench.” Llama 4 Maverick · comparative prompt · first choice
“DailyPay, Payactiv, and Earnin, which consistently rank as leaders by revenue, user base, and market adoption ... revenue: DailyPay tops” Grok 4.1 Fast · comparative prompt · first choice
“If you are an employer with a large workforce using ADP/UKG: DailyPay or Payactiv are the safest, most proven choices.” DeepSeek V4 Flash · comparative prompt · first choice
What the models said about Dave
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Verdict: Avoid. The FTC's complaint highlights systemic deception aimed at financially vulnerable users.” DeepSeek V4 Flash · negative prompt · hard negative
“Courts in multiple states have ruled against several payday loan apps including Brigit, Cleo, Dave” Claude Haiku 4.5 · negative prompt · hard negative
“EarnIn and Dave (tip-based model) ... can trap users in cycles similar to payday loans” Mistral Small · negative prompt · hard negative
“Absolute Lowest Cost | Dave / Chime | No contract, no fees, no work for HR.” Qwen 3.7 Flash · budget prompt · first choice
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.