Index › Compensation and total rewards › Compensation benchmarkin › Comprehensive.io vs Mercer Total Remuneration Survey
Compensation benchmarking data · October 2026 Edition
Comprehensive.io vs Mercer Total Remuneration Survey
Zero of fourteen models named Comprehensive.io first on the direct prompt; zero named Mercer Total Remuneration Survey. Comprehensive.io was named by ten of the fourteen models and Mercer Total Remuneration Survey by fourteen and Comprehensive.io carries 10 labels and Mercer Total Remuneration Survey 33, so the shares are not directly comparable.
Named in three categories this edition.
Named in one category this edition.
First-choice share7%3%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%52%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#6#8A position in a field of 13; printed, not drawn.
Labels1033A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Comprehensive.io reading right to left. Rank and label count are printed, not drawn.Pave was named alongside these two in nine of the fourteen direct answers. Pave vs Comprehensive.io · Pave vs Mercer Total Remuneration Survey · Payscale vs Comprehensive.io
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 compensation benchmarking data page.
By framing
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
Comprehensive.ioFirst choices, of fourteen modelsMercer Total Remuneration Survey
Direct005 against Mercer Total Remuneration Survey
Paraphrase024 against Mercer Total Remuneration Survey
Comparative04
Budget-constrained404 against Mercer Total Remuneration Survey
Scale-constrained002 against Mercer Total Remuneration Survey
Negative002 against Mercer Total Remuneration Survey
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 Comprehensive.io and Mercer Total Remuneration Survey stood in it.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| 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 | | |
Comprehensive.io Mercer Total Remuneration Survey first choice named as an alternative argued againstblank: not namedEach cell is one answer, Comprehensive.io on the left and Mercer Total Remuneration Survey on the right.The direct prompt
The plain question, one answer per model, grouped by where Comprehensive.io and Mercer Total Remuneration Survey stood in it.
Neither was the first choice, one was named
2 of 14 modelsThe answer put something else first and named one of the two as an alternative.GPT-5.4 miniPayscale alternatives: Mercer Total Remuneration Survey, Radford, WTW
GPT-6 LunaPave alternatives: Mercer Total Remuneration Survey, Payscale, Radford
Neither was named
12 of 14 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5Payscale alternatives: Comprehensive, Lattice, Pave, SalaryCube
Gemini 3.5 FlashPave alternatives: Figures, Payscale, Ravio, RepVue, Salary.com CompAnalyst
Perplexity SonarRavio alternatives: CompUp, Pave, Payfactors, Payscale Ascent, Salary.com CompAnalyst
Grok 4.1 FastSalaryCube alternatives: Payscale, Salary.com CompAnalyst
Mistral SmallRavio, SalaryCube alternatives: CompUp, Figures
DeepSeek V4 FlashPayscale alternatives: Pave, Salary.com CompAnalyst
Llama 4 Maverickno first choice
Qwen 3.7 FlashLattice alternatives: Comprehensive, Deel HR, Pave, SalaryCube
Kimi K2Payscale, SalaryCube alternatives: Figures, Pave, Ravio, Salary.com CompAnalyst
GLM 4.7 FlashXPave, Payscale Ascent alternatives: Figures, Salary.com CompAnalyst
MiniMax M2.5SalaryCube alternatives: CompUp, Lattice, Salary.com CompAnalyst
Muse Glimmer 30BSalaryCube alternatives: Pave, 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
Comprehensive.io leads by seven points.
Comprehensive.io8%#3 of 9Mercer Total Remuneration Survey2%#6 of 9Mid-marketThe figures above
Comprehensive.io leads by three points.
Comprehensive.io7%#6 of 13Mercer Total Remuneration Survey3%#8 of 13Enterprise
The order flips: Mercer Total Remuneration Survey leads at enterprise.
Mercer Total Remuneration Survey44%#1 of 12Comprehensive.io0%#– of 12What 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.
“starting with free tools like Pave's free tier, Comprehensive.io, or the BLS is recommended” Claude Haiku 4.5 · budget prompt · first choice
“use Pave, Comprehensive.io, or Ravio (free tiers) for deeper, role‑specific insights” GLM 4.7 FlashX · budget prompt · first choice
“Pave Market Data Lite (free) or Comprehensive.io (free)” DeepSeek V4 Flash · budget prompt · first choice
What the models said about Mercer Total Remuneration Survey
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Avoid: Traditional survey providers like Mercer, Korn Ferry, or Willis Towers Watson” GLM 4.7 FlashX · paraphrase prompt · hard negative
“You typically want to avoid enterprise-level firms (like Mercer or Willis Towers Watson)” Qwen 3.7 Flash · budget prompt · hard negative
“"Why you should avoid traditional providers (Mercer, Radford, Willis Towers Watson)"” Muse Glimmer 30B · negative prompt · hard negative
“The best compensation survey data for a mid-sized B2B company would be provided by companies like Mercer and Payscale, which are comprehensive for mid-to-large-sized companies.” Llama 4 Maverick · paraphrase prompt · first choice
“Mercer and WTW, by contrast, collect employer-submitted, verified payroll data directly from HR information systems (HRIS)... considered the definitive "source of truth"” Gemini 3.5 Flash · comparative prompt · first choice
“The global leader in human capital and compensation benchmarking... widely considered the gold standard for salary, benefits” Qwen 3.7 Flash · comparative prompt · first choice
Also compared
Pave vs Comprehensive.ioPave vs Mercer Total Remuneration SurveyPayscale vs Comprehensive.ioPayscale vs Mercer Total Remuneration SurveySalaryCube vs Comprehensive.ioSalaryCube vs Mercer Total Remuneration SurveySalary.com CompAnalyst vs Comprehensive.ioSalary.com CompAnalyst vs Mercer Total Remuneration SurveyRavio vs Comprehensive.ioRavio vs Mercer Total Remuneration SurveyComprehensive.io vs RadfordRadford vs Mercer Total Remuneration SurveyAll twenty-eight head-to-head pages and the full compensation benchmarkin standing
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.