Syndio vs Aeqium
Five of twelve models named Syndio first on the direct prompt; one named Aeqium. Syndio was named by twelve of the twelve models and Aeqium by ten and Syndio carries 36 labels and Aeqium 17, 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.
By framing
SyndioFirst choices, of twelve modelsAeqium
Across every category in the September 2026 Edition, Syndio and Aeqium were named in the same answer thirty-two times, of the 126 answers naming Syndio and the 75 naming Aeqium. In those answers Aeqium took the first choice two times and Syndio nineteen.
Every model, every framing
| 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 | | |
Syndio Aeqium first choice named as an alternative argued againstblank: not namedEach cell is one answer, Syndio on the left and Aeqium on the right.The direct prompt
Syndio first, Aeqium an alternative
5 of 12 modelsAeqium was named in the answer but not as the choice, or not at all.Aeqium first, Syndio an alternative
1 of 12 modelsSyndio was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
4 of 12 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
2 of 12 modelsThe answer made no first choice from these two in this category.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
Syndio2%#8 of 8Aeqium2%#– of 8What the models said about Syndio
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“When to Avoid Enterprise Tools (Like Syndio or Beqom) ... usually overkill and cost-prohibitive” Gemini 3.5 Flash · paraphrase prompt · hard negative
“Enterprise statistical audit giants (such as Syndio and Trusaic) are highly robust, but they generally require custom enterprise contracts, often costing upwards of $10,000 to $50,000+ per year.” Gemini 3.5 Flash · budget prompt · soft negative
“Strong methodology but cost-prohibitive (high five figures annually), weak HRIS integration requiring frequent manual uploads... Budget-conscious or smaller teams should think twice.” DeepSeek V4 Flash · negative prompt · soft negative
“### 1. Syndio Best for: Global compliance, continuous governance, and closing the loop between analysis and decision-making.” GLM 4.7 FlashX · comparative prompt · first choice
“For most mid-market B2B companies: Syndio is the safest, most defensible choice if your budget allows” DeepSeek V4 Flash · direct prompt · first choice
“If you need audit-ready pay equity compliance and remediation: look at Syndio or Pihr.” GPT-5.4 mini · comparative prompt · first choice
What the models said about Aeqium
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“a full regression analysis suite like Aeqium or Syndio (which are powerful but typically reserved for much larger budgets)” Qwen 3.7 Flash · budget prompt · soft negative
“Best overall dedicated platform: Aeqium – strong statistical rigor, traceable variance, and governance‑ready reporting.” GLM 4.7 FlashX · direct 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.