Two of twelve models named Payscale first on the direct prompt; zero named Pave. Payscale was named by twelve of the twelve models and Pave by eight and Payscale carries 34 labels and Pave 12, 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 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 pay equity page.
Across every category in the September 2026 Edition, Payscale and Pave were named in the same answer eighty-seven times, of the 221 answers naming Payscale and the 213 naming Pave. In those answers Pave took the first choice thirty-seven times and Payscale seven.
| 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. One of one in this category shown.
“Repeated complaints about a clunky, outdated interface, a steep learning curve, data inaccuracy for niche roles... don't buy it purely for equity.” DeepSeek V4 Flash · negative prompt · soft negative
No label in this category carried a quote.
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.