Payscale vs Pave
Seven of fourteen models named Payscale first on the direct prompt; three named Pave. Both were named by all fourteen models and Payscale carries 32 labels and Pave 36, so the shares are not directly comparable.
Named in four categories this edition.
Named in five 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
PayscaleFirst choices, of fourteen modelsPave
Across every category in the November 2026 Edition, Payscale and Pave were named in the same answer eighty-eight times, of the 239 answers naming Payscale and the 220 naming Pave. In those answers Pave took the first choice twenty-five times and Payscale fourteen.
Every model, every framing
| 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 Pave first choice named as an alternative argued againstblank: not namedEach cell is one answer, Payscale on the left and Pave on the right.The direct prompt
Payscale first, Pave an alternative
7 of 14 modelsPave was named in the answer but not as the choice, or not at all.Pave first, Payscale an alternative
3 of 14 modelsPayscale was named in the answer but not as the choice, or not at all.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.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
Payscale18%#1 of 9Pave15%#2 of 9What 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 Pave
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“Pave's free Market Data Lite tier and Comprehensive's free salary data both give small teams real numbers at no cost” Claude Haiku 4.5 · budget prompt · first choice
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.