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Index › Compensation and total rewards › Compensation benchmarkin › Salary.com CompAnalyst vs Comprehensive.io
Compensation benchmarking data · October 2026 Edition

Salary.com CompAnalyst vs Comprehensive.io

Zero of fourteen models named Salary.com CompAnalyst first on the direct prompt; zero named Comprehensive.io. Salary.com CompAnalyst was named by twelve of the fourteen models and Comprehensive.io by ten and Salary.com CompAnalyst carries 24 labels and Comprehensive.io 10, so the shares are not directly comparable.

Salary.com CompAnalyst

accepted challenger

Named in three categories this edition.

Comprehensive.io

accepted challenger

Named in three categories this edition.

First-choice share9%7%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#4#6A position in a field of 13; printed, not drawn.
Labels2410A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Salary.com CompAnalyst 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 Salary.com CompAnalyst · Pave vs Comprehensive.io · Payscale vs Salary.com CompAnalyst

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.
Salary.com CompAnalystFirst choices, of fourteen modelsComprehensive.io
Direct00
Paraphrase30
Comparative00
Budget-constrained241 against Salary.com CompAnalyst
Scale-constrained00
Negative00
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.

Across every category in the October 2026 Edition, Salary.com CompAnalyst and Comprehensive.io were named in the same answer twenty-one times, of the 94 answers naming Salary.com CompAnalyst and the 55 naming Comprehensive.io. In those answers Comprehensive.io took the first choice seven times and Salary.com CompAnalyst one.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Salary.com CompAnalyst and Comprehensive.io 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
Salary.com CompAnalyst Comprehensive.io first choice named as an alternative argued againstblank: not namedEach cell is one answer, Salary.com CompAnalyst on the left and Comprehensive.io on the right.

The direct prompt

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

Neither was the first choice, one was named

8 of 14 modelsThe answer put something else first and named one of the two as an alternative.
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
DeepSeek V4 FlashPayscale alternatives: Pave, Salary.com CompAnalyst
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

Neither was named

6 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Payscale alternatives: Comprehensive, Lattice, Pave, SalaryCube
GPT-5.4 miniPayscale alternatives: Mercer Total Remuneration Survey, Radford, WTW
Mistral SmallRavio, SalaryCube alternatives: CompUp, Figures
Llama 4 Maverickno first choice
Qwen 3.7 FlashLattice alternatives: Comprehensive, Deel HR, Pave, SalaryCube
GPT-6 LunaPave alternatives: Mercer Total Remuneration Survey, Payscale, Radford

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 two points.
Comprehensive.io8%#3 of 9
Salary.com CompAnalyst7%#4 of 9
The full small business standing →
Mid-marketThe figures above
The order flips: Salary.com CompAnalyst leads at mid-market.
Salary.com CompAnalyst9%#4 of 13
Comprehensive.io7%#6 of 13
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Salary.com CompAnalyst0%#10 of 12
Comprehensive.io0%#– of 12
The full enterprise standing →

What the models said about Salary.com CompAnalyst

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

“Avoid expensive enterprise solutions like PayScale (~$12,000+/year) or Salary.com” MiniMax M2.5 · budget prompt · hard negative
“Best all-around validated survey for mid-size: Compdata Max / Salary.com. Explicitly called out as best all-around for mid-sized companies.” Muse Glimmer 30B · paraphrase prompt · first choice
“Best Balance of Depth & Accessibility ... Salary.com or Mercer will give you the broad industry coverage you need” Kimi K2 · paraphrase 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.

“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
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.