# Workleap Compensation vs Aeqium: which do AI models recommend for pay equity, October 2026

HR AI Recommendation Index, October 2026 Edition, Pay equity. Three of fourteen models named Workleap Compensation first on the direct prompt; two named Aeqium. Page: https://hr-ai-index.com/rewards/pay-equity/workleap-compensation-vs-aeqium/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Workleap Compensation | 7% | #5 of 14 | 23% | 13 | 10 of 14 |
| Aeqium | 4% | #8 of 14 | 17% | 12 | 9 of 14 |

## The direct prompt, model by model

- Claude Haiku 4.5: workleap compensation first (first choices: Workleap Compensation) (alternatives: Compport, OpenComp, PayAnalytics, Payscale, Syndio, Trusaic PayParity)
- Grok 4.1 Fast: workleap compensation first (first choices: Workleap Compensation) (alternatives: Aeqium, HiBob, Payscale)
- Llama 4 Maverick: workleap compensation first (first choices: Workleap Compensation) (alternatives: Affirmity, Effy)
- Perplexity Sonar: aeqium first (first choices: Aeqium) (alternatives: HiBob, Payscale, Salary.com Pay Equity, Workleap Compensation)
- Mistral Small: aeqium first (first choices: Aeqium) (alternatives: Sysarb, Workleap Compensation)
- Qwen 3.7 Flash: neither first, one named (first choices: Pave) (alternatives: Payscale, Phodata, Workleap Compensation)
- GLM 4.7 FlashX: neither first, one named (first choices: Syndio) (alternatives: Aeqium, Affirmity, Compport, Figures, HiBob, Pave, PayAnalytics, Payscale, Workday Pay Equity, beqom Pay Equity)
- MiniMax M2.5: neither first, one named (first choices: HiBob) (alternatives: Aeqium, Pave, Payscale, Workleap Compensation)
- GPT-5.4 mini: neither named (first choices: Syndio) (alternatives: PayAnalytics, Trusaic PayParity)
- Gemini 3.5 Flash: neither named (first choices: PayAnalytics) (alternatives: CandorIQ, Pequity, Syndio, Trusaic PayParity)
- DeepSeek V4 Flash: neither named (first choices: PayAnalytics) (alternatives: Compport, Payscale, Syndio)
- Kimi K2: neither named (first choices: PayAnalytics, Syndio) (alternatives: Payscale, Trusaic PayParity)
- GPT-6 Luna: neither named (first choices: Payscale) (alternatives: Syndio, Trusaic PayParity)
- Muse Glimmer 30B: neither named (first choices: PayAnalytics, beqom Pay Equity) (alternatives: Syndio, Trusaic PayParity)

## What the models said about Workleap Compensation

- "Lesser-known or smaller tools (e.g., Barley, Deel) may lack the depth required for enterprise-level analysis." (Mistral Small, negative prompt, hard negative)
- "Tools Lacking Enterprise Depth (e.g., smaller/low-cost options like Barley... flag them as "avoid for scale"" (Grok 4.1 Fast, negative prompt, hard negative)
- ""Avoid for your scale: Smaller tools like Barley ($5/user/month) or Deel lack enterprise depth"" (Muse Glimmer 30B, negative prompt, hard negative)
- "Barley is ideal for mid-market and enterprise HR teams needing simple compensation analytics and pay band management." (Claude Haiku 4.5, direct prompt, first choice)
- "Barley - ideal for mid-market and enterprise HR teams needing simple compensation analytics and pay band management." (Llama 4 Maverick, direct prompt, first choice)

## What the models said about Aeqium

- "Tools requiring heavy analyst intervention (e.g., certain configurations of Aeqium, Figures)" (DeepSeek V4 Flash, negative prompt, soft negative)
- "are quote-only and do not publish prices" (Muse Glimmer 30B, budget prompt, soft negative)
- "I'd choose Aeqium for the best balance of analysis depth, reporting traceability, and fit for mid-market HR analytics teams" (Perplexity Sonar, direct prompt, first choice)
- "Aeqium being a top choice for its comprehensive features" (Mistral Small, direct prompt, first choice)

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. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.