# Levels.fyi: how AI models rank it, September 2026

HR AI Recommendation Index, September 2026 Edition. Named in 13 judge labels across 4 categories by 7 of 12 models. Page: https://hr-ai-index.com/vendors/levels-fyi/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Compensation benchmarking data | 0% | 142 | 67% | 6 |
| Compensation management | 0% | 165 | 60% | 5 |
| Job advertising and distribution | 0% | 64 | 0% | 1 |
| Pay equity | 0% | 40 | 0% | 1 |

## What the models said for it

- "Use platforms like Levels.fyi for tech roles (more specialized/accurate)" (Kimi K2, Compensation management)
- "Starts around $800/month ... this is the next best reliable source" (Qwen 3.7 Flash, Compensation benchmarkin)
- "Comprehensive.io / Levels.fyi — Free tech compensation data" (DeepSeek V4 Flash, Pay equity)

## And against it

- "Aggregators (Glassdoor, LinkedIn, Levels.fyi) ... Do not use them for making concrete compensation decisions" (Qwen 3.7 Flash, Compensation benchmarkin)
- "This data often inflates compensation expectations and may not reflect the full compensation package" (Mistral Small, Compensation management)
- "crowdsourced ones are unreliable; Self-reported data is biased ... unverified, and often inaccurate" (Grok 4.1 Fast, Compensation management)
- "more accurate than pure crowd-sourced (e.g., Levels.fyi free for tech but unverified)" (Grok 4.1 Fast, Compensation benchmarkin)

## Record

- Method: https://hr-ai-index.com/methodology/
- Raw judge labels and full responses: https://hr-ai-index.com/data/
- License: CC BY 4.0. Cite as HR AI Recommendation Index, September 2026 Edition, hr-ai-index.com.