Zero of fourteen models named Comprehensive.io first on the direct prompt; zero named Radford. Comprehensive.io was named by ten of the fourteen models and Radford by twelve and Comprehensive.io carries 10 labels and Radford 28, so the shares are not directly comparable.
Named in three 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.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | RA | RA | ||||
| Gemini 3.5 Flash | RA | RA | ||||
| Perplexity Sonar | RA | |||||
| Grok 4.1 Fast | RA | |||||
| Mistral Small | RA | RA | ||||
| DeepSeek V4 Flash | RA | RA | RA | |||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | RA | RA | RA | RA | ||
| Kimi K2 | RA | RA | ||||
| GLM 4.7 FlashX | ||||||
| MiniMax M2.5 | RA | |||||
| GPT-6 Luna | RA | |||||
| Muse Glimmer 30B | RA |
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.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“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
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of six in this category shown.
“"Why you should avoid traditional providers (Mercer, Radford, Willis Towers Watson)"” Muse Glimmer 30B · negative prompt · hard negative
“incredibly robust but requires manual survey participation, a higher budget, and more administrative effort than modern API-based systems” Gemini 3.5 Flash · paraphrase prompt · soft negative
“$15K–$80K+/yr with mandatory survey participation. Overkill for most mid-market B2B unless you're in tech/life sciences specifically.” DeepSeek V4 Flash · direct prompt · soft negative
“This makes Radford a top pick for companies looking for reliable, free salary benchmarking data without a significant financial investment.” Mistral Small · budget prompt · first choice
“Radford or Mercer are the top choices due to their industry-specific data and reliability” Mistral Small · paraphrase prompt · first choice
“1. Radford (Aon) — *Best for B2B Tech/SaaS*” Kimi K2 · paraphrase 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.