Glassdoor vs Radford
Zero of fourteen models named Glassdoor first on the direct prompt; zero named Radford. Glassdoor was named by ten of the fourteen models and Radford by twelve and Glassdoor carries 16 labels and Radford 21, so the shares are not directly comparable.
Named in four categories this edition.
Radford
criticized challengerNamed in three categories this edition.
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
GlassdoorFirst choices, of fourteen modelsRadfordAcross every category in the November 2026 Edition, Glassdoor and Radford were named in the same answer twenty-four times, of the 82 answers naming Glassdoor and the 73 naming Radford. In those answers Radford took the first choice one time and Glassdoor zero.
Every model, every framing
| Model | DirectRA | ParaphraseRA | ComparativeRA | Budget-constrainedRA | Scale-constrainedRA | NegativeRA |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | RA | |||||
| Gemini 3.5 Flash | RA | RA | RA | | ||
| Perplexity Sonar | RA | |||||
| Grok 4.20 | RA | RA | RA | | ||
| Mistral Small | ||||||
| DeepSeek V4 Flash | RA | RA | RA | |||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | | RA | ||||
| Kimi K2 | RA | RA | | |||
| GLM 4.7 FlashX | RA | | ||||
| MiniMax M2.5 | | |||||
| GPT-6 Luna | ||||||
| Muse Glimmer 30B | RA |
GlassdoorRA Radford first choice named as an alternative argued againstblank: not namedEach cell is one answer, Glassdoor on the left and Radford on the right.The direct prompt
Neither was the first choice, one was named
1 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
13 of 14 modelsThe answer made no first choice from these two in this category.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
Glassdoor3%#5 of 10Glassdoor0%#– of 9What 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
What the models said about Radford
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“Providers to avoid or use carefully include: - Mercer, Willis Towers Watson (WTW), and Radford when the budget is tight” Muse Glimmer 30B · negative prompt · hard negative
“Avoid for Mid-Market: Radford (Aon), Mercer, or Willis Towers Watson” Grok 4.20 · direct prompt · hard negative
“Large vendors (like Radford) rely on hundreds of massive companies to build benchmarks... avoid the heavy enterprise platforms unless you have a dedicated Compensation Manager” Qwen 3.7 Flash · scale prompt · soft negative
“Radford provides deep traditional global enterprise data; Pave offers real-time API integrations” Gemini 3.5 Flash · comparative prompt · first choice
“It is widely considered the gold standard for tech and SaaS.” Gemini 3.5 Flash · paraphrase prompt · first choice
“Radford excels in private company data (including VC/PE-backed firms) and has massive participation” Grok 4.20 · paraphrase prompt · alternative
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.