Pave vs Mercer Total Remuneration Survey
Three of fourteen models named Pave first on the direct prompt; zero named Mercer Total Remuneration Survey. Pave was named by twelve of the fourteen models and Mercer Total Remuneration Survey by fourteen and Pave carries 27 labels and Mercer Total Remuneration Survey 33, so the shares are not directly comparable.
Named in six categories this edition.
Named in one category 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 modelsMercer Total Remuneration Survey
Across every category in the October 2026 Edition, Pave and Mercer Total Remuneration Survey were named in the same answer forty-seven times, of the 219 answers naming Pave and the 118 naming Mercer Total Remuneration Survey. In those answers Mercer Total Remuneration Survey took the first choice eight times and Pave twenty.
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 4.1 Fast | | | ||||
| 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 Mercer Total Remuneration Survey first choice named as an alternative argued againstblank: not namedEach cell is one answer, Pave on the left and Mercer Total Remuneration Survey on the right.The direct prompt
Pave first, Mercer Total Remuneration Survey an alternative
3 of 14 modelsMercer Total Remuneration Survey was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
7 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
4 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
Pave30%#1 of 9Mercer Total Remuneration Survey2%#6 of 9Pave19%#1 of 13Mercer Total Remuneration Survey3%#8 of 13Mercer Total Remuneration Survey44%#1 of 12Pave5%#3 of 12What 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 is the most practical choice for many early-stage companies because it is explicitly called out as a free benchmarking option” Perplexity Sonar · budget prompt · first choice
What the models said about Mercer Total Remuneration Survey
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Avoid: Traditional survey providers like Mercer, Korn Ferry, or Willis Towers Watson” GLM 4.7 FlashX · paraphrase prompt · hard negative
“You typically want to avoid enterprise-level firms (like Mercer or Willis Towers Watson)” Qwen 3.7 Flash · budget prompt · hard negative
“"Why you should avoid traditional providers (Mercer, Radford, Willis Towers Watson)"” Muse Glimmer 30B · negative prompt · hard negative
“The best compensation survey data for a mid-sized B2B company would be provided by companies like Mercer and Payscale, which are comprehensive for mid-to-large-sized companies.” Llama 4 Maverick · paraphrase prompt · first choice
“Mercer and WTW, by contrast, collect employer-submitted, verified payroll data directly from HR information systems (HRIS)... considered the definitive "source of truth"” Gemini 3.5 Flash · comparative prompt · first choice
“The global leader in human capital and compensation benchmarking... widely considered the gold standard for salary, benefits” Qwen 3.7 Flash · comparative 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.