SmartDollar vs LearnLux
One of fourteen models named SmartDollar first on the direct prompt; three named LearnLux. SmartDollar was named by thirteen of the fourteen models and LearnLux by thirteen and SmartDollar carries 37 labels and LearnLux 28, 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 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 financial wellness platforms page.
By framing
SmartDollarFirst choices, of fourteen modelsLearnLux
Across every category in the November 2026 Edition, SmartDollar and LearnLux were named in the same answer forty-nine times, of the 116 answers naming SmartDollar and the 73 naming LearnLux. In those answers LearnLux took the first choice six times and SmartDollar two.
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 4.20 | | | | |||
| 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 | | | |
SmartDollar LearnLux first choice named as an alternative argued againstblank: not namedEach cell is one answer, SmartDollar on the left and LearnLux on the right.The direct prompt
SmartDollar first, LearnLux not the choice
1 of 14 modelsLearnLux was named in the answer but not as the choice, or not at all.LearnLux first, SmartDollar an alternative
3 of 14 modelsSmartDollar was named in the answer but not as the choice, or not at all.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.Neither was named
2 of 14 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
SmartDollar8%#3 of 13LearnLux8%#4 of 13SmartDollar7%#4 of 11LearnLux7%#5 of 11What the models said about SmartDollar
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“ranks lower for mid-market (4.3/10) and may feel less personalized” Grok 4.20 · direct prompt · soft negative
“Highly rated but often has high minimums for small groups.” Qwen 3.7 Flash · budget prompt · soft negative
“such as Financial Finesse or SmartDollar to drive engagement with 401k, HSA/FSA and debt management” Muse Glimmer 30B · paraphrase prompt · first choice
“Financial education platform (like Financial Finesse or SmartDollar)” MiniMax M2.5 · paraphrase prompt · first choice
“Financial Finesse and SmartDollar are the top choices” Mistral Small · direct prompt · first choice
What the models said about LearnLux
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Avoid these if budget is the main constraint: ... HoneyBee and LearnLux, both of which use custom pricing.” GPT-5.4 mini · budget prompt · hard negative
“Choose LearnLux, BrightPlan, or Financial Finesse if you want employees to build long-term financial health” Kimi K2 · comparative prompt · first choice
“LearnLux emerges as the strongest overall choice for mid-market B2B companies” Kimi K2 · direct prompt · first choice
“The best financial wellness platform for a mid-market B2B company is LearnLux” Llama 4 Maverick · direct 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.