Pave vs Salary.com CompAnalyst
Three of fourteen models named Pave first on the direct prompt; one named Salary.com CompAnalyst. Pave was named by fourteen of the fourteen models and Salary.com CompAnalyst by twelve and Pave carries 36 labels and Salary.com CompAnalyst 22, so the shares are not directly comparable.
Named in five categories this edition.
Named 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
PaveFirst choices, of fourteen modelsSalary.com CompAnalyst
Across every category in the November 2026 Edition, Pave and Salary.com CompAnalyst were named in the same answer seventy-nine times, of the 220 answers naming Pave and the 164 naming Salary.com CompAnalyst. In those answers Salary.com CompAnalyst took the first choice five times and Pave twenty-three.
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 | |
Pave Salary.com CompAnalyst first choice named as an alternative argued againstblank: not namedEach cell is one answer, Pave on the left and Salary.com CompAnalyst on the right.The direct prompt
Pave first, Salary.com CompAnalyst an alternative
3 of 14 modelsSalary.com CompAnalyst was named in the answer but not as the choice, or not at all.Salary.com CompAnalyst first, Pave an alternative
1 of 14 modelsPave was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
10 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
Pave19%#1 of 10Salary.com CompAnalyst10%#3 of 10Pave15%#2 of 9Salary.com CompAnalyst4%#4 of 9Salary.com CompAnalyst9%#2 of 9Pave3%#7 of 9What 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
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
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.