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Compensation benchmarking data · November 2026 Edition

Salary.com CompAnalyst vs Glassdoor

One of fourteen models named Salary.com CompAnalyst first on the direct prompt; zero named Glassdoor. Salary.com CompAnalyst was named by twelve of the fourteen models and Glassdoor by ten and Salary.com CompAnalyst carries 22 labels and Glassdoor 16, so the shares are not directly comparable.

Salary.com CompAnalyst

accepted challenger

Named in three categories this edition.

Glassdoor

criticized challenger

Named in four categories this edition.

First-choice share4%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate14%38%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#5A position in a field of 9; printed, not drawn.
Labels2216A 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 fourteen of the fourteen direct answers. Payscale vs Salary.com CompAnalyst · Payscale vs Glassdoor · Pave 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 modelsGlassdoor
Direct101 against Glassdoor
Paraphrase10
Comparative00
Budget-constrained022 against Salary.com CompAnalyst
Scale-constrained001 against Salary.com CompAnalyst · 4 against Glassdoor
Negative001 against Glassdoor
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 Salary.com CompAnalyst and Glassdoor stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.20
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 Glassdoor first choice named as an alternative argued againstblank: not namedEach cell is one answer, Salary.com CompAnalyst on the left and Glassdoor on the right.

The direct prompt

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

Salary.com CompAnalyst first, Glassdoor not the choice

1 of 14 modelsGlassdoor was named in the answer but not as the choice, or not at all.
GPT-5.4 miniSalary.com CompAnalyst alternatives: Compensation-IQ, Pave, Payscale Ascent

Neither was the first choice, one was named

6 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashPave alternatives: Carta Total Compensation, Payscale, Salary.com CompAnalyst
Grok 4.20Payscale alternatives: Pave, Ravio, Salary.com CompAnalyst
Qwen 3.7 FlashComprehensive.io alternatives: Figures, Pave, Payscale, Salary.com CompAnalyst
Kimi K2Payscale alternatives: Mercer Total Remuneration Survey, Pave, Radford, Salary.com CompAnalyst
GLM 4.7 FlashXFigures, SalaryCube Comp Planning alternatives: Pave, Salary.com CompAnalyst
Muse Glimmer 30BPayscale alternatives: CompAnalyst, Comprehensive.io, Pave, Salary.com CompAnalyst, SalaryCube

Neither was named

7 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Pave, SalaryCube alternatives: CompUp, OpenComp, Payscale Ascent
Perplexity SonarPayscale alternatives: Pave, Ravio, SalaryCube
Mistral SmallPave alternatives: Mercer Total Remuneration Survey, Payscale
DeepSeek V4 FlashPayscale alternatives: Mercer Benchmark Database, Pave, Ravio, SalaryCube
Llama 4 MaverickSalaryCube alternatives: Mercer Total Remuneration Survey, Pave, Payscale
MiniMax M2.5CompAnalyst, Payscale alternatives: Pave
GPT-6 LunaPayscale alternatives: Pave

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
Salary.com CompAnalyst leads by seven points.
Salary.com CompAnalyst10%#3 of 10
Glassdoor3%#5 of 10
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
Salary.com CompAnalyst4%#4 of 9
Glassdoor4%#5 of 9
The full mid-market standing →
Enterprise
Salary.com CompAnalyst leads by nine points.
Salary.com CompAnalyst9%#2 of 9
Glassdoor0%#– of 9
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. Four of four in this category shown.

“Free tools (e.g., basic Salary.com or Levels.fyi) can be a starting point but often lack depth.” Grok 4.20 · scale prompt · soft negative
“full benchmarking requires subscriptions (avoid if budget is tight)” Grok 4.20 · budget prompt · soft negative
“Primary source: Payscale or Salary.com CompAnalyst — for general job pricing across all functions” DeepSeek V4 Flash · paraphrase prompt · first choice
“the best default choice is usually Salary.com” GPT-5.4 mini · direct prompt · first choice

What the models said about Glassdoor

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

“Avoid those relying heavily on unverified crowdsourced data (e.g., from Glassdoor or Levels.fyi), as it can be biased or inflated.” Grok 4.20 · scale prompt · hard negative
“you're too large for free/consumer tools (Glassdoor, BLS) — those won't have the granularity or credibility you need” DeepSeek V4 Flash · scale prompt · hard negative
“start with BLS + Glassdoor combined. This combination provides accurate, defensible data for most common positions at zero cost.” MiniMax M2.5 · budget prompt · first choice
“start with free tools (BLS OEWS + Glassdoor) to get a solid baseline” GLM 4.7 FlashX · budget prompt · first choice
“Best For: Quick market checks, especially for office jobs and white-collar roles.” Qwen 3.7 Flash · budget prompt · alternative
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.