Compensation benchmarking data · November 2026 Edition
Payscale vs Glassdoor
Seven of fourteen models named Payscale first on the direct prompt; zero named Glassdoor. Payscale was named by fourteen of the fourteen models and Glassdoor by ten and Payscale carries 32 labels and Glassdoor 16, so the shares are not directly comparable.
Named in four categories this edition.
Named in four categories this edition.
First-choice share18%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate9%38%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#5A position in a field of 9; printed, not drawn.
Labels3216A 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.Pave was named alongside these two in fourteen of the fourteen direct answers. Payscale vs Pave · Payscale 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.
PayscaleFirst choices, of fourteen modelsGlassdoor
Direct701 against Glassdoor
Paraphrase30
Comparative00
Budget-constrained022 against Payscale
Scale-constrained001 against Payscale · 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 Payscale and Glassdoor 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 4.20 | | | | | ||
| 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 | |
Payscale Glassdoor first choice named as an alternative argued againstblank: not namedEach cell is one answer, Payscale on the left and Glassdoor on the right.The direct prompt
The plain question, one answer per model, grouped by where Payscale and Glassdoor stood in it.
Payscale first, Glassdoor not the choice
7 of 14 modelsGlassdoor was named in the answer but not as the choice, or not at all.Perplexity SonarPayscale alternatives: Pave, Ravio, SalaryCube
Grok 4.20Payscale alternatives: Pave, Ravio, Salary.com CompAnalyst
DeepSeek V4 FlashPayscale alternatives: Mercer Benchmark Database, Pave, Ravio, SalaryCube
Kimi K2Payscale alternatives: Mercer Total Remuneration Survey, Pave, Radford, Salary.com CompAnalyst
MiniMax M2.5CompAnalyst, Payscale alternatives: Pave
GPT-6 LunaPayscale alternatives: Pave
Muse Glimmer 30BPayscale alternatives: CompAnalyst, Comprehensive.io, Pave, Salary.com CompAnalyst, SalaryCube
Neither was the first choice, one was named
4 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
Mistral SmallPave alternatives: Mercer Total Remuneration Survey, Payscale
Llama 4 MaverickSalaryCube alternatives: Mercer Total Remuneration Survey, Pave, Payscale
Qwen 3.7 FlashComprehensive.io alternatives: Figures, Pave, Payscale, Salary.com CompAnalyst
Neither was named
3 of 14 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5Pave, SalaryCube alternatives: CompUp, OpenComp, Payscale Ascent
GPT-5.4 miniSalary.com CompAnalyst alternatives: Compensation-IQ, Pave, Payscale Ascent
GLM 4.7 FlashXFigures, SalaryCube Comp Planning 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
Payscale leads by nine points.
Payscale12%#2 of 10Glassdoor3%#5 of 10Mid-marketThe figures above
Enterprise
What the models said about Payscale
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of six in this category shown.
“Data self-reported by employees (e.g., Glassdoor, Payscale). This is often inflated, noisy, and difficult to verify” Gemini 3.5 Flash · scale prompt · soft negative
“Best for: Growing companies ready to invest in compensation infrastructure” MiniMax M2.5 · budget prompt · soft negative
“full benchmarking requires subscriptions (avoid if budget is tight)” Grok 4.20 · budget prompt · soft negative
“Payscale for broad mid-market coverage ... Payscale Knowledge / Payscale. Real-time data with survey sourcing and broad job family coverage.” Muse Glimmer 30B · direct prompt · first choice
“Most mid-market companies find that Payscale strikes the best balance of cost, coverage, and functionality” Kimi K2 · direct prompt · first choice
“Payscale (or Payscale + CompAnalyst) – Strongest overall fit for most mid-sized B2B companies” Grok 4.20 · paraphrase 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
Payscale vs PavePayscale vs Comprehensive.ioPayscale vs Salary.com CompAnalystPayscale vs Mercer Total Remuneration SurveyPayscale vs RadfordPayscale vs Willis Towers WatsonPave vs GlassdoorComprehensive.io vs GlassdoorSalary.com CompAnalyst vs GlassdoorGlassdoor vs Mercer Total Remuneration SurveyGlassdoor vs RadfordGlassdoor vs Willis Towers WatsonAll 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.