# Comprehensive vs CompLogix: which do AI models recommend for compensation management, September 2026

HR AI Recommendation Index, September 2026 Edition, Compensation management. Two of twelve models named Comprehensive first on the direct prompt; four named CompLogix. Page: https://hr-ai-index.com/rewards/compensation-management/comprehensive-vs-complogix/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Comprehensive | 15% | #2 of 29 | 0% | 49 | 12 of 12 |
| CompLogix | 5% | #4 of 29 | 5% | 20 | 10 of 12 |

## The direct prompt, model by model

- Kimi K2: both first (first choices: CompLogix, Comprehensive, Pave, Pequity) (alternatives: Aeqium, CompUp, Compport, Everstage, HiBob, Lattice Compensation)
- Perplexity Sonar: comprehensive first (first choices: Comprehensive, HiBob) (alternatives: CaptivateIQ, CompLogix, Payscale Ascent, Performio, QuotaPath, SalaryCube)
- Grok 4.1 Fast: complogix first (first choices: CompLogix) (alternatives: Comprehensive, HiBob, Paylocity, Payscale Ascent, Salary.com CompAnalyst, SimplyMerit)
- GLM 4.7 FlashX: complogix first (first choices: Aeqium, CompLogix, SalaryCube) (alternatives: HiBob, Pave, Payscale Ascent, SalaryCube Comp Planning)
- MiniMax M2.5: complogix first (first choices: CompLogix, HiBob HRIS, Paylocity, Payscale Ascent) (alternatives: HiBob, Pave)
- Gemini 3.5 Flash: neither first, one named (first choices: CaptivateIQ, Everstage, Pave) (alternatives: Aeqium, CompLogix, Compport, Comprehensive, Pequity, Performio, Qobra, QuotaPath)
- Mistral Small: neither first, one named (first choices: Everstage, HiBob, Payscale Ascent) (alternatives: CompLogix, Compport, Paylocity, QuotaPath)
- DeepSeek V4 Flash: neither first, one named (first choices: Lattice, Pave, QuotaPath) (alternatives: CaptivateIQ, CompLogix, Compport, Everstage, HiBob, Lattice Compensation, Payscale)
- Claude Haiku 4.5: neither named (first choices: HiBob HRIS, Payscale Ascent, QuotaPath) (alternatives: Everstage, Lattice, Paycom, Paylocity, Payscale, Xactly)
- GPT-5.4 mini: neither named (first choices: CaptivateIQ, Lattice Compensation) (alternatives: HRSoft, Payscale, SAP SuccessFactors Compensation, Varicent, Xactly, Xactly Incent, beqom)
- Llama 4 Maverick: neither named (first choices: Everstage) (alternatives: HiBob HRIS, Payscale Ascent)
- Qwen 3.7 Flash: neither named (first choices: Deel, HiBob) (alternatives: Figures, Lattice, Payfactors, Payscale Ascent, Qommet, Salary.com)

## What the models said about Comprehensive

- "Comprehensive: Best all-in-one platform for replacing spreadsheets with custom, scalable compensation workflows. Suitable for companies with 100 to 2,000 employees." (Llama 4 Maverick, paraphrase prompt, first choice)
- "Choose Comprehensive if you want the best balance of flexibility, speed, and mid-market fit without going enterprise-heavy." (Perplexity Sonar, direct prompt, first choice)
- "Highly recommended for mid-sized teams, offering dedicated compensation planning with budget controls and structured approvals." (Mistral Small, paraphrase prompt, first choice)

## What the models said about CompLogix

- "they are highly services-heavy, often requiring dedicated implementation consultants and administrative support" (Gemini 3.5 Flash, comparative prompt, soft negative)
- "I'd suggest evaluating CompLogix (if you need deep configurability) or HiBob (if you prefer an all-in-one HRIS platform) as your top choices." (MiniMax M2.5, direct prompt, first choice)
- "CompLogix (Best Overall for Complexity & Configurability) ... CompLogix is the industry leader for the mid-market." (Qwen 3.7 Flash, paraphrase prompt, first choice)
- "CompLogix (Best Overall for Configurability and Support)" (Grok 4.1 Fast, direct prompt, first choice)

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. 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.