HR AI Index
Index Compensation and total rewards Pay equity › PayAnalytics vs Pave
Pay equity · September 2026 Edition

PayAnalytics vs Pave

Four of twelve models named PayAnalytics first on the direct prompt; zero named Pave. PayAnalytics was named by eleven of the twelve models and Pave by eight and PayAnalytics carries 26 labels and Pave 12, so the shares are not directly comparable.

PayAnalytics

accepted challenger

Named in one category this edition.

Pave

accepted challenger

Named in three categories this edition.

First-choice share14%10%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate4%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#4A position in a field of 9; printed, not drawn.
Labels2612A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, PayAnalytics reading right to left. Rank and label count are printed, not drawn.Syndio was named alongside these two in nine of the twelve direct answers. Syndio vs PayAnalytics · Syndio vs Pave · Payscale vs PayAnalytics

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 pay equity page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
PayAnalyticsFirst choices, of twelve modelsPave
Direct40
Paraphrase10
Comparative10
Budget-constrained131 against PayAnalytics
Scale-constrained01
Negative00
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where PayAnalytics and Pave 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
PayAnalytics Pave first choice named as an alternative argued againstblank: not namedEach cell is one answer, PayAnalytics on the left and Pave on the right.

The direct prompt

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

PayAnalytics first, Pave an alternative

4 of 12 modelsPave was named in the answer but not as the choice, or not at all.
Gemini 3.5 FlashPayAnalytics, Pequity alternatives: Syndio, Workleap Compensation
Mistral SmallPayAnalytics alternatives: Barley, Payscale, Salary.com, Syndio, Trusaic PayParity
Qwen 3.7 FlashPayAnalytics, Syndio alternatives: ChartHop, Pave, Trusaic PayParity
MiniMax M2.5PayAnalytics, Syndio alternatives: Payscale, Trusaic PayParity

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.
GPT-5.4 miniSyndio alternatives: PayAnalytics, Payscale, beqom
Perplexity SonarPayscale alternatives: Aeqium, Compport, PayAnalytics
DeepSeek V4 FlashSyndio alternatives: Aeqium, HiBob, Pave, PayAnalytics, Trusaic PayParity
GLM 4.7 FlashXAeqium alternatives: ChartHop, Compport, Figures, HiBob, Pave, PayAnalytics, Salary.com CompAnalyst, Syndio

Neither was named

4 of 12 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5OpenComp alternatives: Barley, CompUp, Compport, Comprehensive.io, HRSoft, Ravio
Grok 4.1 FastPayscale alternatives: Barley, Compport, Salary.com Pay Equity, Syndio
Llama 4 Maverickno first choice
Kimi K2Syndio alternatives: Payscale, Trusaic PayParity

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
Pave leads by two points.
Pave7%#2 of 8
PayAnalytics5%#6 of 8
The full small business standing →
Mid-marketThe figures above
The order flips: PayAnalytics leads at mid-market.
PayAnalytics14%#3 of 9
Pave10%#4 of 9
The full mid-market standing →
Enterprise
Level: the same share of first choices.
PayAnalytics2%#6 of 7
Pave2%#– of 7
The full enterprise standing →

What the models said about PayAnalytics

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

“Enterprise tools like ... PayAnalytics ... out of reach on a tight budget” DeepSeek V4 Flash · budget prompt · soft negative
“Known for robust benchmark-linked pay gap reporting and documented inputs for remediation decisions, making it a strong fit for mid-size teams.” Mistral Small · direct prompt · first choice
“the strongest fit is usually PayAnalytics because it explicitly positions itself for teams *working within a set budget*” Perplexity Sonar · budget prompt · first choice
“The Best All-Rounder: PayAnalytics ... often the go-to recommendation for mid-sized companies” Qwen 3.7 Flash · paraphrase prompt · first choice

What the models said about Pave

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.