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Financial wellness platforms · November 2026 Edition

Enrich vs Payactiv

Zero of fourteen models named Enrich first on the direct prompt; zero named Payactiv. Enrich was named by eleven of the fourteen models and Payactiv by twelve and Enrich carries 25 labels and Payactiv 19, so the shares are not directly comparable.

Enrich

accepted challenger

Named in one category this edition.

Payactiv

accepted challenger

Named in two categories this edition.

First-choice share2%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate4%16%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#6#8A position in a field of 11; printed, not drawn.
Labels2519A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Enrich reading right to left. Rank and label count are printed, not drawn.Financial Finesse was named alongside these two in twelve of the fourteen direct answers. Financial Finesse vs Enrich · Financial Finesse vs Payactiv · Your Money Line vs Enrich

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

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
EnrichFirst choices, of fourteen modelsPayactiv
Direct00
Paraphrase00
Comparative00
Budget-constrained111 against Enrich
Scale-constrained00
Negative003 against Payactiv
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.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Enrich and Payactiv stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
Enrich Payactiv first choice named as an alternative argued againstblank: not namedEach cell is one answer, Enrich on the left and Payactiv on the right.

The direct prompt

The plain question, one answer per model, grouped by where Enrich and Payactiv stood in it.

Neither was the first choice, one was named

4 of 14 modelsThe answer put something else first and named one of the two as an alternative.
GPT-5.4 miniStream alternatives: DailyPay, Payactiv, SmartDollar, Spring
Grok 4.20Financial Finesse alternatives: BrightPlan, Enrich, Your Money Line
Qwen 3.7 FlashFinancial Finesse, Your Money Line alternatives: Enrich, LearnLux
MiniMax M2.5Financial Finesse alternatives: Enrich, SmartDollar

Neither was named

10 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Morgan Stanley at Work alternatives: BrightPlan, Financial Finesse, LearnLux
Gemini 3.5 FlashOrigin alternatives: Brightside, Kashable, LearnLux, Your Money Line
Perplexity SonarFinancial Finesse alternatives: Your Money Line
Mistral SmallFinancial Finesse, SmartDollar alternatives: BrightPlan
DeepSeek V4 FlashFinancial Finesse alternatives: BrightPlan, SmartDollar, Your Money Line
Llama 4 MaverickLearnLux alternatives: BrightPlan, Financial Finesse, Origin, SmartDollar, Tapcheck
Kimi K2LearnLux alternatives: Financial Finesse, Origin
GLM 4.7 FlashXFinancial Finesse alternatives: Betterment at Work, LearnLux, SmartDollar
GPT-6 LunaLearnLux alternatives: Financial Finesse, Origin
Muse Glimmer 30BFinancial Finesse alternatives: SmartDollar

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
Payactiv leads by three points.
Payactiv5%#5 of 13
Enrich3%#9 of 13
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
Enrich2%#6 of 11
Payactiv2%#8 of 11
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Enrich0%#8 of 12
Payactiv0%#11 of 12
The full enterprise standing →

What the models said about Enrich

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.

“use per-employee pricing ($3–$25+/month), which adds up quickly” Grok 4.20 · budget prompt · soft negative
“For a company on a tight budget, I'd start with Enrich's Essentials plan.” GPT-6 Luna · budget prompt · first choice
“AI-powered financial wellness platform - Highly customizable for different employee demographics” MiniMax M2.5 · direct prompt · alternative
“Best for Employee Engagement (Modern UX) ... lives where your employees already work” Qwen 3.7 Flash · direct prompt · alternative

What the models said about Payactiv

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.

“Payactiv, a financial wellness / earned-wage-access platform, is subject to a class action settlement after an April 2025 data breach.” Muse Glimmer 30B · negative prompt · hard negative
“platforms that have been criticized or have a high negative rate include DailyPay, Payactiv, and ZayZoon” Llama 4 Maverick · negative prompt · hard negative
“flagged these as "criticized challengers" or "hard negative" due to their fee structures” Mistral Small · negative prompt · hard negative
“starting with a free option like Chime Workplace or Payactiv provides excellent value without any initial investment” GLM 4.7 FlashX · budget prompt · first choice
Also compared

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.