HR AI Index
Index Compensation and total rewards Compensation benchmarkin › Payscale vs Radford
Compensation benchmarking data · September 2026 Edition

Payscale vs Radford

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.

Payscale

accepted challenger

Named in three categories this edition.

Radford

criticized challenger

Named in two categories this edition.

First-choice share24%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate21%37%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#5A position in a field of 8; printed, not drawn.
Labels2827A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Payscale reading right to left. Rank and label count are printed, not drawn.Salary.com was named alongside these two in seven of the twelve direct answers. Payscale vs Pave · Payscale vs Comprehensive.io · Payscale vs Mercer

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.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
PayscaleFirst choices, of twelve modelsRadford
Direct903 against Radford
Paraphrase221 against Payscale · 3 against Radford
Comparative00
Budget-constrained103 against Payscale · 4 against Radford
Scale-constrained001 against Payscale
Negative001 against Payscale
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

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.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where Payscale and Radford stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
Payscale Radford first choice named as an alternative argued againstblank: not namedEach cell is one answer, Payscale on the left and Radford on the right.

The direct prompt

The plain question, one answer per model, grouped by where Payscale and Radford stood in it.

Payscale first, Radford an alternative

9 of 12 modelsRadford was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Payscale alternatives: Lattice, SalaryCube, beqom
GPT-5.4 miniPayscale alternatives: Radford, Salary.com
Perplexity SonarPayscale alternatives: Ravio, SalaryCube
Grok 4.1 FastPayscale alternatives: Pave, Salary.com
DeepSeek V4 FlashPayscale alternatives: ERI, Pave, Ravio, Salary.com
Llama 4 MaverickPayscale
Qwen 3.7 FlashPayscale alternatives: Pave, Payfactors, Salary.com, SalaryCube
Kimi K2Payscale, SalaryCube alternatives: Mercer, Radford, Salary.com
MiniMax M2.5Payscale alternatives: Comprehensive.io

Neither was the first choice, one was named

1 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashPave alternatives: Carta Total Comp, Figures, Payscale, Radford, Ravio, Salary.com

Neither was named

2 of 12 modelsThe answer made no first choice from these two in this category.
Mistral SmallSalaryCube alternatives: Pave, Payfactors, Salary.com
GLM 4.7 FlashXPave alternatives: Aon Radford, CaptivateIQ, Ficstar, Mercer, OpenComp, Payscale Ascent, Ravio, Salary.com CompAnalyst

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

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Payscale leads by four points.
Payscale4%#4 of 10
Radford0%#10 of 10
The full small business standing →
Mid-marketThe figures above
Payscale leads by twenty points.
Payscale24%#1 of 8
Radford4%#5 of 8
The full mid-market standing →
Enterprise
The order flips: Radford leads at enterprise.
Radford16%#2 of 10
Payscale3%#7 of 10
The full enterprise standing →

What the models said about Payscale

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

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 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
Also compared

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.