Three of fourteen models named Syndio first on the direct prompt; zero named Trusaic PayParity. Both were named by all fourteen models and Syndio carries 45 labels and Trusaic PayParity 38, so the shares are not directly comparable.
Named in one category this edition.
Named in one category 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 pay equity page.
Across every category in the October 2026 Edition, Syndio and Trusaic PayParity were named in the same answer 102 times, of the 148 answers naming Syndio and the 112 naming Trusaic PayParity. In those answers Trusaic PayParity took the first choice two times and Syndio twenty-nine.
| 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 | ||||||
| GPT-6 Luna | ||||||
| Muse Glimmer 30B |
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. Six of eight in this category shown.
“Small businesses should avoid enterprise-grade, complex tools like Syndio that demand dedicated rewards staff and quote-based pricing.” Llama 4 Maverick · negative prompt · hard negative
“What to Avoid on a Limited Budget - Syndio ... Not ideal for tight budgets.” DeepSeek V4 Flash · budget prompt · hard negative
“Enterprise statistical audit giants (e.g., Syndio, Beqom, Trusaic) are highly robust but typically require custom enterprise contracts and significant implementation effort.” GLM 4.7 FlashX · negative prompt · soft negative
“Go with Syndio or Trusaic. Their ability to handle massive, messy HRIS datasets and translate them into legally defensible global narratives is unmatched.” Gemini 3.5 Flash · comparative prompt · first choice
“Syndio is a leading pay equity platform trusted by organizations of all sizes... Syndio is best for legally defensible enterprise audits” Claude Haiku 4.5 · comparative prompt · first choice
“Syndio is likely the best overall choice due to its robust pay transparency features, scalability, and strong compliance support” Mistral Small · paraphrase 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.
“Enterprise-focused with quote-only pricing; ... overkill for most small companies.” DeepSeek V4 Flash · budget prompt · hard negative
“Enterprise statistical audit giants (e.g., Syndio, Beqom, Trusaic) are highly robust but typically require custom enterprise contracts and significant implementation effort.” GLM 4.7 FlashX · negative prompt · soft negative
“premium, high-end enterprise pay equity software (like Syndio, Trusaic, or Beqom), which typically ... cost tens of thousands of dollars annually” Gemini 3.5 Flash · budget prompt · soft negative
“the platforms most commonly cited are Syndio, Trusaic or PayAnalytics, depending on whether priority is legal defensibility, remediation workflow or global coverage” Muse Glimmer 30B · scale prompt · first choice
“Choose Trusaic PayParity if you need remediation planning, audit-ready reporting, and multi-country compliance.” Perplexity Sonar · comparative prompt · first choice
“or PayParity if you prioritize detailed pay equity analysis. Both have strong mid-market presence” GLM 4.7 FlashX · paraphrase prompt · first choice
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.