HR AI Index
Index Compensation and total rewards Compensation benchmarkin › Pave vs Comprehensive.io
Compensation benchmarking data · September 2026 Edition

Pave vs Comprehensive.io

Two of twelve models named Pave first on the direct prompt; zero named Comprehensive.io. Pave was named by eleven of the twelve models and Comprehensive.io by eleven and Pave carries 25 labels and Comprehensive.io 12, so the shares are not directly comparable.

Pave

accepted challenger

Named in three categories this edition.

Comprehensive.io

accepted challenger

Named in three categories this edition.

First-choice share20%12%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#3A position in a field of 8; printed, not drawn.
Labels2512A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Pave reading right to left. Rank and label count are printed, not drawn.Payscale was named alongside these two in ten of the twelve direct answers. Payscale vs Pave · Payscale vs Comprehensive.io

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 compensation benchmarking data page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
PaveFirst choices, of twelve modelsComprehensive.io
Direct20
Paraphrase10
Comparative00
Budget-constrained66
Scale-constrained10
Negative10
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.

The direct prompt

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

Pave first, Comprehensive.io not the choice

2 of 12 modelsComprehensive.io was named in the answer but not as the choice, or not at all.
Gemini 3.5 FlashPave alternatives: Carta Total Comp, Figures, Payscale, Radford, Ravio, Salary.com
GLM 4.7 FlashXPave alternatives: Aon Radford, CaptivateIQ, Ficstar, Mercer, OpenComp, Payscale Ascent, Ravio, Salary.com CompAnalyst

Neither was the first choice, one was named

5 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Grok 4.1 FastPayscale alternatives: Pave, Salary.com
Mistral SmallSalaryCube alternatives: Pave, Payfactors, Salary.com
DeepSeek V4 FlashPayscale alternatives: ERI, Pave, Ravio, Salary.com
Qwen 3.7 FlashPayscale alternatives: Pave, Payfactors, Salary.com, SalaryCube
MiniMax M2.5Payscale alternatives: Comprehensive.io

Neither was named

5 of 12 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Payscale alternatives: Lattice, SalaryCube, beqom
GPT-5.4 miniPayscale alternatives: Radford, Salary.com
Perplexity SonarPayscale alternatives: Ravio, SalaryCube
Llama 4 MaverickPayscale
Kimi K2Payscale, SalaryCube alternatives: Mercer, Radford, Salary.com

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 thirty points.
Pave32%#1 of 10
Comprehensive.io2%#6 of 10
The full small business standing →
Mid-marketThe figures above
Pave leads by eight points.
Pave20%#2 of 8
Comprehensive.io12%#3 of 8
The full mid-market standing →
Enterprise
Pave leads by eight points.
Pave8%#4 of 10
Comprehensive.io0%#– of 10
The full enterprise standing →

What the models said about Pave

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

“Use modern, integration-based salary benchmarking software that pulls live, anonymized data directly from HR and payroll systems (e.g., Pave, Ravio, or Figures)” Gemini 3.5 Flash · negative prompt · first choice
“Start with Pave's free Market Data Lite (if you're under 200 employees) — it's the most accessible, current, and comprehensive free option.” DeepSeek V4 Flash · budget prompt · first choice

What the models said about Comprehensive.io

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

“three free salary benchmarking tools cover most needs at zero cost: Pave (tech roles, under 200 employees), Comprehensive.io (US tech daily data), and BLS OEWS” Claude Haiku 4.5 · budget prompt · first choice
“Free daily-refreshed tech salary data from 6,000+ U.S. companies (no participation needed) ... Great for startups/lean teams.” Grok 4.1 Fast · budget prompt · first choice
“Pave and Comprehensive.io are currently leading the market for affordable or free options” Qwen 3.7 Flash · budget prompt · first choice
Also compared

Comparisons are drawn for the top three products in each category. The output is the models' output; nothing here is a recommendation by the index.