# Pave vs Mercer Total Remuneration Survey: which do AI models recommend for compensation benchmarkin, October 2026

HR AI Recommendation Index, October 2026 Edition, Compensation benchmarking data. Three of fourteen models named Pave first on the direct prompt; zero named Mercer Total Remuneration Survey. Page: https://hr-ai-index.com/rewards/compensation-benchmarking-data/pave-vs-mercer-total-remuneration-survey/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Pave | 19% | #1 of 13 | 4% | 27 | 12 of 14 |
| Mercer Total Remuneration Survey | 3% | #8 of 13 | 52% | 33 | 14 of 14 |

## The direct prompt, model by model

- Gemini 3.5 Flash: pave first (first choices: Pave) (alternatives: Figures, Payscale, Ravio, RepVue, Salary.com CompAnalyst)
- GLM 4.7 FlashX: pave first (first choices: Pave, Payscale Ascent) (alternatives: Figures, Salary.com CompAnalyst)
- GPT-6 Luna: pave first (first choices: Pave) (alternatives: Mercer Total Remuneration Survey, Payscale, Radford)
- Claude Haiku 4.5: neither first, one named (first choices: Payscale) (alternatives: Comprehensive, Lattice, Pave, SalaryCube)
- GPT-5.4 mini: neither first, one named (first choices: Payscale) (alternatives: Mercer Total Remuneration Survey, Radford, WTW)
- Perplexity Sonar: neither first, one named (first choices: Ravio) (alternatives: CompUp, Pave, Payfactors, Payscale Ascent, Salary.com CompAnalyst)
- DeepSeek V4 Flash: neither first, one named (first choices: Payscale) (alternatives: Pave, Salary.com CompAnalyst)
- Qwen 3.7 Flash: neither first, one named (first choices: Lattice) (alternatives: Comprehensive, Deel HR, Pave, SalaryCube)
- Kimi K2: neither first, one named (first choices: Payscale, SalaryCube) (alternatives: Figures, Pave, Ravio, Salary.com CompAnalyst)
- Muse Glimmer 30B: neither first, one named (first choices: SalaryCube) (alternatives: Pave, Salary.com CompAnalyst)
- Grok 4.1 Fast: neither named (first choices: SalaryCube) (alternatives: Payscale, Salary.com CompAnalyst)
- Mistral Small: neither named (first choices: Ravio, SalaryCube) (alternatives: CompUp, Figures)
- Llama 4 Maverick: neither named
- MiniMax M2.5: neither named (first choices: SalaryCube) (alternatives: CompUp, Lattice, Salary.com CompAnalyst)

## What the models said about Pave

- "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

- "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)

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. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.