| Category | Function | Share | Rank | Negative rate | Labels | Quadrant |
|---|---|---|---|---|---|---|
| Compensation benchmarking data | Compensation and total rewards | 0% | 142 of 144 | 67% | 6 | under 10 labels · led by Payscale at 24% |
| Compensation management | Compensation and total rewards | 0% | 165 of 189 | 60% | 5 | under 10 labels · led by Pave at 18% |
| Job advertising and distribution | Talent acquisition | 0% | 64 of 109 | 0% | 1 | under 10 labels · led by JobTarget at 21% |
| Pay equity | Compensation and total rewards | 0% | 40 of 60 | 0% | 1 | under 10 labels · led by Syndio at 17% |
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.1 Fast | 0 | 0 | 0 | 2 | 2 |
| Mistral Small | 0 | 0 | 0 | 2 | 2 |
| DeepSeek V4 Flash | 0 | 1 | 0 | 1 | 2 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 1 | 2 |
| Kimi K2 | 0 | 1 | 1 | 0 | 2 |
| GLM 4.7 FlashX | 0 | 0 | 1 | 1 | 2 |
| MiniMax M2.5 | 0 | 0 | 1 | 0 | 1 |
Verbatim evidence the judge attached to positive labels.
“Use platforms like Levels.fyi for tech roles (more specialized/accurate)” Kimi K2 · Compensation management · negative prompt · alternative
“Starts around $800/month ... this is the next best reliable source” Qwen 3.7 Flash · Compensation benchmarkin · budget prompt · alternative
“Comprehensive.io / Levels.fyi — Free tech compensation data” DeepSeek V4 Flash · Pay equity · budget prompt · alternative
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“Aggregators (Glassdoor, LinkedIn, Levels.fyi) ... Do not use them for making concrete compensation decisions” Qwen 3.7 Flash · Compensation benchmarkin · scale prompt · hard negative
“This data often inflates compensation expectations and may not reflect the full compensation package” Mistral Small · Compensation management · negative prompt · soft negative
“crowdsourced ones are unreliable; Self-reported data is biased ... unverified, and often inaccurate” Grok 4.1 Fast · Compensation management · negative prompt · soft negative
“more accurate than pure crowd-sourced (e.g., Levels.fyi free for tech but unverified)” Grok 4.1 Fast · Compensation benchmarkin · budget prompt · soft negative
Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 24 of the 27 answers that named Levels.fyi and are not a share of its labels.
Ninety-eight of the ninety-eight domain citations in answers naming Levels.fyi came from somebody else's page.
Pages are listed as the models cited them.
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Levels.fyi's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Levels.fyi, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at levels.fyi is approved on the spot, any other address is reviewed by hand.
Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.