Four of twelve models named PayAnalytics first on the direct prompt; zero named Pave. PayAnalytics was named by eleven of the twelve models and Pave by eight and PayAnalytics carries 26 labels and Pave 12, so the shares are not directly comparable.
Named in one category 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.
| 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 five in this category shown.
“Enterprise tools like ... PayAnalytics ... out of reach on a tight budget” DeepSeek V4 Flash · budget prompt · soft negative
“Known for robust benchmark-linked pay gap reporting and documented inputs for remediation decisions, making it a strong fit for mid-size teams.” Mistral Small · direct prompt · first choice
“the strongest fit is usually PayAnalytics because it explicitly positions itself for teams *working within a set budget*” Perplexity Sonar · budget prompt · first choice
“The Best All-Rounder: PayAnalytics ... often the go-to recommendation for mid-sized companies” Qwen 3.7 Flash · paraphrase prompt · first choice
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.