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

Payscale vs Comprehensive.io

Nine of twelve models named Payscale first on the direct prompt; zero named Comprehensive.io. Payscale was named by twelve of the twelve models and Comprehensive.io by eleven and Payscale carries 28 labels and Comprehensive.io 12, so the shares are not directly comparable.

Payscale

accepted challenger

Named in three categories this edition.

Comprehensive.io

accepted challenger

Named in three categories this edition.

First-choice share24%12%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate21%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#3A position in a field of 8; printed, not drawn.
Labels2812A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Payscale reading right to left. Rank and label count are printed, not drawn.Salary.com was named alongside these two in seven of the twelve direct answers. Payscale vs Pave · Pave 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.
PayscaleFirst choices, of twelve modelsComprehensive.io
Direct90
Paraphrase201 against Payscale
Comparative00
Budget-constrained163 against Payscale
Scale-constrained001 against Payscale
Negative001 against Payscale
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 Payscale and Comprehensive.io stood in it.

Payscale first, Comprehensive.io an alternative

9 of 12 modelsComprehensive.io was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Payscale alternatives: Lattice, SalaryCube, beqom
GPT-5.4 miniPayscale alternatives: Radford, Salary.com
Perplexity SonarPayscale alternatives: Ravio, SalaryCube
Grok 4.1 FastPayscale alternatives: Pave, Salary.com
DeepSeek V4 FlashPayscale alternatives: ERI, Pave, Ravio, Salary.com
Llama 4 MaverickPayscale
Qwen 3.7 FlashPayscale alternatives: Pave, Payfactors, Salary.com, SalaryCube
Kimi K2Payscale, SalaryCube alternatives: Mercer, Radford, Salary.com
MiniMax M2.5Payscale alternatives: Comprehensive.io

Neither was the first choice, one was named

1 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashPave alternatives: Carta Total Comp, Figures, Payscale, Radford, Ravio, Salary.com

Neither was named

2 of 12 modelsThe answer made no first choice from these two in this category.
Mistral SmallSalaryCube alternatives: Pave, Payfactors, Salary.com
GLM 4.7 FlashXPave alternatives: Aon Radford, CaptivateIQ, Ficstar, Mercer, OpenComp, Payscale Ascent, Ravio, Salary.com CompAnalyst

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
Payscale leads by two points.
Payscale4%#4 of 10
Comprehensive.io2%#6 of 10
The full small business standing →
Mid-marketThe figures above
Payscale leads by twelve points.
Payscale24%#1 of 8
Comprehensive.io12%#3 of 8
The full mid-market standing →
Enterprise
Payscale leads by three points.
Payscale3%#7 of 10
Comprehensive.io0%#– of 10
The full enterprise standing →

What the models said about Payscale

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

“Avoid crowdsourced data (like Glassdoor or basic Payscale) as your primary source; it is often outdated or contains inflated self-reported figures.” Gemini 3.5 Flash · scale prompt · soft negative
“I'd suggest starting with Payscale or CompAnalyst as they offer the best balance of cost, data quality, and relevance to B2B roles” MiniMax M2.5 · paraphrase prompt · first choice
“OR Payscale (if you are traditional B2B/professional services) to establish your baseline corporate job architecture and salary bands” Gemini 3.5 Flash · paraphrase prompt · first choice
“I'd suggest starting with Payscale/CompAnalyst as it's specifically mentioned as ideal for broad US mid-market companies” MiniMax M2.5 · direct 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.