Pave vs Radford
Three of fourteen models named Pave first on the direct prompt; zero named Radford. Pave was named by fourteen of the fourteen models and Radford by twelve and Pave carries 36 labels and Radford 21, so the shares are not directly comparable.
Named in five categories this edition.
Radford
criticized challengerNamed 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.
By framing
PaveFirst choices, of fourteen modelsRadfordAcross every category in the November 2026 Edition, Pave and Radford were named in the same answer thirty-six times, of the 220 answers naming Pave and the 73 naming Radford. In those answers Radford took the first choice two times and Pave eleven.
Every model, every framing
| Model | DirectRA | ParaphraseRA | ComparativeRA | Budget-constrainedRA | Scale-constrainedRA | NegativeRA |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | ||||
| GPT-5.4 mini | | RA | ||||
| Gemini 3.5 Flash | RA | RA | RA | | ||
| Perplexity Sonar | | RA | ||||
| Grok 4.20 | RA | RA | RA | |||
| Mistral Small | | | ||||
| DeepSeek V4 Flash | RA | | | RA | RA | |
| Llama 4 Maverick | | | ||||
| Qwen 3.7 Flash | | | | RA | ||
| Kimi K2 | RA | RA | | |||
| GLM 4.7 FlashX | | RA | | |||
| MiniMax M2.5 | | |||||
| GPT-6 Luna | | |||||
| Muse Glimmer 30B | | RA |
PaveRA Radford first choice named as an alternative argued againstblank: not namedEach cell is one answer, Pave on the left and Radford on the right.The direct prompt
Pave first, Radford not the choice
3 of 14 modelsRadford was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
11 of 14 modelsThe answer put something else first and named one of the two as an alternative.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
Pave3%#7 of 9What 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's free Market Data Lite tier and Comprehensive's free salary data both give small teams real numbers at no cost” Claude Haiku 4.5 · budget prompt · first choice
What the models said about Radford
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“Providers to avoid or use carefully include: - Mercer, Willis Towers Watson (WTW), and Radford when the budget is tight” Muse Glimmer 30B · negative prompt · hard negative
“Avoid for Mid-Market: Radford (Aon), Mercer, or Willis Towers Watson” Grok 4.20 · direct prompt · hard negative
“Large vendors (like Radford) rely on hundreds of massive companies to build benchmarks... avoid the heavy enterprise platforms unless you have a dedicated Compensation Manager” Qwen 3.7 Flash · scale prompt · soft negative
“Radford provides deep traditional global enterprise data; Pave offers real-time API integrations” Gemini 3.5 Flash · comparative prompt · first choice
“It is widely considered the gold standard for tech and SaaS.” Gemini 3.5 Flash · paraphrase prompt · first choice
“Radford excels in private company data (including VC/PE-backed firms) and has massive participation” Grok 4.20 · paraphrase 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.