# Pave vs Comprehensive.io: 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 Comprehensive.io. Page: https://hr-ai-index.com/rewards/compensation-benchmarking-data/pave-vs-comprehensive-io/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Pave | 19% | #1 of 13 | 4% | 27 | 12 of 14 |
| Comprehensive.io | 7% | #6 of 13 | 0% | 10 | 10 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)
- 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)
- GPT-5.4 mini: neither named (first choices: Payscale) (alternatives: Mercer Total Remuneration Survey, Radford, WTW)
- 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 Comprehensive.io

- "starting with free tools like Pave's free tier, Comprehensive.io, or the BLS is recommended" (Claude Haiku 4.5, budget prompt, first choice)
- "use Pave, Comprehensive.io, or Ravio (free tiers) for deeper, role‑specific insights" (GLM 4.7 FlashX, budget prompt, first choice)
- "Pave Market Data Lite (free) or Comprehensive.io (free)" (DeepSeek V4 Flash, budget 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.