Nine of twelve models named Payscale first on the direct prompt; zero named Radford. Payscale was named by twelve of the twelve models and Radford by eleven and Payscale carries 28 labels and Radford 27, so the shares are not directly comparable.
Named in three categories this edition.
Named in two categories this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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.
Across every category in the September 2026 Edition, Payscale and Radford were named in the same answer fifty times, of the 221 answers naming Payscale and the 83 naming Radford. In those answers Radford took the first choice seven times and Payscale eleven.
| 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 |
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. Four of four in this category shown.
“Avoid crowdsourced data (like Glassdoor or basic Payscale) as your primary source; it is often outdated or contains inflated self-reported figures.” Gemini 3.5 Flash · scale prompt · soft negative
“I'd suggest starting with Payscale or CompAnalyst as they offer the best balance of cost, data quality, and relevance to B2B roles” MiniMax M2.5 · paraphrase prompt · first choice
“OR Payscale (if you are traditional B2B/professional services) to establish your baseline corporate job architecture and salary bands” Gemini 3.5 Flash · paraphrase prompt · first choice
“I'd suggest starting with Payscale/CompAnalyst as it's specifically mentioned as ideal for broad US mid-market companies” MiniMax M2.5 · direct prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“What to Avoid on a Limited Budget ... enterprise-grade pricing with far more data than most small/mid-market companies need” Kimi K2 · budget prompt · hard negative
“Avoid traditional surveys (Mercer/Radford: $10k+/year) unless scaling.” Grok 4.1 Fast · budget prompt · hard negative
“it requires active participation (submitting your own data) and can be expensive and labor-intensive to manage compared to automated tools” Gemini 3.5 Flash · paraphrase prompt · soft negative
“I'd typically recommend starting with Radford if you're in tech/SaaS, or Mercer for broader B2B sectors” Claude Haiku 4.5 · paraphrase prompt · first choice
“Mercer or Radford-style benchmark data is often the strongest foundation” GPT-5.4 mini · paraphrase prompt · first choice
“Tech-First / Specialized Platforms (Radford, Pave, CompAnalyst, Option Impact) — Best for: Scalability, ease of use, and equity/tech-heavy roles.” Qwen 3.7 Flash · scale prompt · alternative
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.