HR AI Index
Index Vendors › Levels.fyi · September 2026 Edition
4 categories · Ranked

Levels.fyi

28Judge labels
1First choices
12Negative labels
9 of 12Models named it
4Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.1, every buyer segment counted.
Best standing
2% in Compensation benchmarkin for small business buyers
Rank 142 of 144 in the mid-market standing
0 of 12 models made it the first choice on the direct prompt; 67% of its 6 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In compensation benchmarkin · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named Levels.fyi for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
CategoryFunctionShareRankNegative rateLabelsQuadrant
Compensation benchmarking dataCompensation and total rewards0%142 of 14467%6under 10 labels · led by Payscale at 24%
Compensation managementCompensation and total rewards0%165 of 18960%5under 10 labels · led by Pave at 18%
Job advertising and distributionTalent acquisition0%64 of 1090%1under 10 labels · led by JobTarget at 21%
Pay equityCompensation and total rewards0%40 of 600%1under 10 labels · led by Syndio at 17%

Movement

This is the first edition on this tier, so no move can be computed for Levels.fyi yet. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated Levels.fyi across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00022
Mistral Small00022
DeepSeek V4 Flash01012
Llama 4 Maverick00000
Qwen 3.7 Flash01012
Kimi K201102
GLM 4.7 FlashX00112
MiniMax M2.500101

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct3 labels1
Paraphrase1 labelNone
Comparative3 labelsNone
Budget-constrained14 labelsNone
Scale-constrained2 labelsNone
Negative5 labelsNone
First choiceAlternativeMentionNegative28 labels in all, every segment counted; 1 of the 1 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

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

And against it

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

Named alongside

The products named in the same answers as Levels.fyi, over the 27 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Levels.fyi was named but was not.
ProductSame answerTook the first choice insteadHead to head
Pave20 of 2714Not in the top three
Ravio17 of 272Not in the top three
Payscale16 of 272Not in the top three
Glassdoor16 of 270Not in the top three
Comprehensive.io14 of 274Not in the top three
Mercer12 of 270Not in the top three
Salary.com9 of 270Not in the top three
Radford8 of 270Not in the top three
Salary.com CompAnalyst6 of 271Not in the top three
Figures6 of 270Not in the top three
A head-to-head page exists where both products are in a category's top three. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Levels.fyi. A fact about retrieval, not a lever on the model.

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.

Domains cited

ravio.com19
comprehensive.io12
pin.com12
fitsmallbusiness.com10
pave.com9
firsthr.app8
g2.com8
hrpaypick.com7
salary.com7
ficstar.com6

Ninety-eight of the ninety-eight domain citations in answers naming Levels.fyi came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Is this your product?

Claim this page

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.

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