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Index › Core HR and payroll › Benefits administration › PlanSource vs Paylocity
Benefits administration · October 2026 Edition

PlanSource vs Paylocity

Two of fourteen models named PlanSource first on the direct prompt; one named Paylocity. PlanSource was named by twelve of the fourteen models and Paylocity by eleven and PlanSource carries 31 labels and Paylocity 19, so the shares are not directly comparable.

PlanSource

accepted challenger

Named in three categories this edition.

Paylocity

accepted challenger

Named in twenty categories this edition.

First-choice share6%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate16%5%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#7A position in a field of 13; printed, not drawn.
Labels3119A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, PlanSource reading right to left. Rank and label count are printed, not drawn.ADP Workforce Now was named alongside these two in eleven of the fourteen direct answers. Gusto vs PlanSource · Gusto vs Paylocity · ADP Workforce Now vs PlanSource

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 benefits administration page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
PlanSourceFirst choices, of fourteen modelsPaylocity
Direct21
Paraphrase10
Comparative00
Budget-constrained001 against Paylocity
Scale-constrained00
Negative005 against PlanSource
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 PlanSource and Paylocity stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
GPT-6 Luna
Muse Glimmer 30B
PlanSource Paylocity first choice named as an alternative argued againstblank: not namedEach cell is one answer, PlanSource on the left and Paylocity on the right.

The direct prompt

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

PlanSource first, Paylocity an alternative

2 of 14 modelsPaylocity was named in the answer but not as the choice, or not at all.
GLM 4.7 FlashXPlanSource alternatives: ADP Workforce Now, Benefitfocus, Employee Navigator, Rippling
Muse Glimmer 30BPlanSource alternatives: ADP Workforce Now, BambooHR, Businessolver, Employee Navigator, Justworks, Namely, Paycor, Paylocity, Rippling

Paylocity first, PlanSource not the choice

1 of 14 modelsPlanSource was named in the answer but not as the choice, or not at all.
Qwen 3.7 FlashPaylocity alternatives: ADP Workforce Now, Dayforce, Rippling

Neither was the first choice, one was named

6 of 14 modelsThe answer put something else first and named one of the two as an alternative.
GPT-5.4 miniEase, Employee Navigator alternatives: PlanSource, bswift
Gemini 3.5 FlashRippling alternatives: ADP Workforce Now, Employee Navigator, Paycor, Paylocity, PlanSource
Perplexity SonarADP Workforce Now alternatives: Forma, Paycor, Paylocity, Rippling
Grok 4.1 FastADP Workforce Now alternatives: Paycor, Paylocity, PlanSource
DeepSeek V4 FlashRippling alternatives: ADP Workforce Now, PlanSource
GPT-6 LunaEmployee Navigator, Rippling alternatives: ADP Workforce Now, PlanSource

Neither was named

5 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5no first choice
Mistral SmallADP Workforce Now, Paycor alternatives: Gusto
Llama 4 Maverickno first choice
Kimi K2Rippling alternatives: ADP Workforce Now, BambooHR, Gusto
MiniMax M2.5ADP Workforce Now, BambooHR alternatives: Businessolver

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
Level: the same share of first choices.
PlanSource0%#13 of 14
Paylocity0%#10 of 14
The full small business standing →
Mid-marketThe figures above
PlanSource leads by four points.
PlanSource6%#5 of 13
Paylocity2%#7 of 13
The full mid-market standing →
Enterprise
PlanSource leads by four points.
PlanSource4%#6 of 12
Paylocity0%#– of 12
The full enterprise standing →

What the models said about PlanSource

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

“the product "seems designed to trip up customers and make it difficult to cancel"” GLM 4.7 FlashX · negative prompt · hard negative
“Primary Concern: Complexity and "black box" support.” Qwen 3.7 Flash · negative prompt · hard negative
“bswift/PlanSource (enterprise) get similar scalability complaints but fewer public reviews” Grok 4.1 Fast · negative prompt · soft negative
“Best for a dedicated benefits administration platform → PlanSource – built around enrollment automation and carrier connectivity” GLM 4.7 FlashX · direct prompt · first choice
“"Best for a dedicated benefits administration platform: PlanSource, built around enrollment automation and carrier connectivity."” Muse Glimmer 30B · direct prompt · first choice
“### 1. PlanSource — Best for dedicated benefits-only platform” GLM 4.7 FlashX · paraphrase prompt · first choice

What the models said about Paylocity

No label in this category carried a quote.

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.