Index › HR › Compensation and total rewards › Compensation benchmarkin › Small business · November 2026 Edition
Compensation benchmarking data for small business buyers
Asked as “salary benchmarking data provider”, and as “compensation survey data”, on behalf of a small B2B company. 58 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
19%
Contested · Payscale 12%
19Pave12Payscale10Salary.com CompAnalyst59others
19% of first choices, contested.
Since October 2026▼−11Since October 2026: 30% → 19%, −11 points. Inside the 13-point floor: within noise.Pave held the lead, −11 points on 30%, inside the 13-point floor.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.
Small business
Pave19%Contested▼−11Since October 2026: 30% → 19%, −11 points. Inside the 13-point floor: within noise.This pageMid-market
Payscale18%Contested↗new leaderNew leader since October 2026: Payscale (18%) replaces Pave (19% then, 15% now), 3 points clear, inside the 13-point floor.Standing →Enterprise
Mercer Total Remuneration Survey33%Contested▼−11Since October 2026: 44% → 33%, −11 points. Inside the 13-point floor: within noise.Standing →
Pave19%Contested▼−11Since October 2026: 30% → 19%, −11 points. Inside the 13-point floor: within noise.This pageMid-marketPayscale18%Contested↗new leaderNew leader since October 2026: Payscale (18%) replaces Pave (19% then, 15% now), 3 points clear, inside the 13-point floor.Standing →EnterpriseMercer Total Remuneration Survey33%Contested▼−11Since October 2026: 44% → 33%, −11 points. Inside the 13-point floor: within noise.Standing →The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for a small B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince October 2026
01Pave19%3%30accepted challenger▼−11Since October 2026: 30% → 19%, −11 points. Inside the 13-point floor: within noise.30% → 19%
Pave19%3%30accepted challenger▼−11Since October 2026: 30% → 19%, −11 points. Inside the 13-point floor: within noise.30% → 19%02Payscale12%21%42accepted challenger=heldSince October 2026: 12% → 12%, ±0 points. Inside the 13-point floor: within noise.12% → 12%
Payscale12%21%42accepted challenger=heldSince October 2026: 12% → 12%, ±0 points. Inside the 13-point floor: within noise.12% → 12%03
Salary.com CompAnalyst10%6%32accepted challenger▲+3Since October 2026: 7% → 10%, +3 points. Inside the 13-point floor: within noise.7% → 10%
Salary.com CompAnalyst10%6%32accepted challenger▲+3Since October 2026: 7% → 10%, +3 points. Inside the 13-point floor: within noise.7% → 10%04
Comprehensive.io7%0%18accepted challenger▼−1Since October 2026: 8% → 7%, −1 point. Inside the 13-point floor: within noise.8% → 7%
Comprehensive.io7%0%18accepted challenger▼−1Since October 2026: 8% → 7%, −1 point. Inside the 13-point floor: within noise.8% → 7%05
Glassdoor3%17%23accepted challenger▲+3Since October 2026: 0% → 3%, +3 points. Inside the 13-point floor: within noise.0% → 3%
Glassdoor3%17%23accepted challenger▲+3Since October 2026: 0% → 3%, +3 points. Inside the 13-point floor: within noise.0% → 3%06
Ravio2%6%18accepted challenger=heldSince October 2026: 2% → 2%, ±0 points. Inside the 13-point floor: within noise.2% → 2%
Ravio2%6%18accepted challenger=heldSince October 2026: 2% → 2%, ±0 points. Inside the 13-point floor: within noise.2% → 2%Show the three products at 0%, ordered by negative rate
10Radford0%70%23criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%
09Mercer Total Remuneration Survey0%67%21criticized challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise.2% → 0%
Mercer Total Remuneration Survey0%67%21criticized challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise.2% → 0%08
Levels.fyi0%9%11accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%
Levels.fyi0%9%11accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%The floor is 13 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one can't be told apart from repeat variation, and both are shown. Each index measures its own floor from its own repeat, over its own categories, so the floor differs from one index to the next. Both editions asked the same fourteen models. How the floor is measured
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
Head to headHead-to-head pages are published for mid-market buyers, so these open on mid-market figures, not small business.
All twenty-eight head-to-head pages: the top eight products, each against each
Payscale vs GlassdoorPayscale vs Mercer Total Remuneration SurveyPayscale vs RadfordPayscale vs Willis Towers WatsonPave vs Comprehensive.ioPave vs Salary.com CompAnalystPave vs GlassdoorPave vs Mercer Total Remuneration SurveyPave vs RadfordPave vs Willis Towers WatsonComprehensive.io vs Salary.com CompAnalystComprehensive.io vs GlassdoorComprehensive.io vs Mercer Total Remuneration SurveyComprehensive.io vs RadfordComprehensive.io vs Willis Towers WatsonSalary.com CompAnalyst vs GlassdoorSalary.com CompAnalyst vs Mercer Total Remuneration SurveySalary.com CompAnalyst vs RadfordSalary.com CompAnalyst vs Willis Towers WatsonGlassdoor vs Mercer Total Remuneration SurveyGlassdoor vs RadfordGlassdoor vs Willis Towers WatsonMercer Total Remuneration Survey vs RadfordMercer Total Remuneration Survey vs Willis Towers WatsonRadford vs Willis Towers Watson
Recommended versus criticized
Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.
Criticized challengerCriticized default
Negative label rate →
010203040506
070809R10
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative30%
Key
01Pave19%
Pave19%02Payscale12%
Payscale12%03Salary.com CompAnalyst10%
Salary.com CompAnalyst10%04Comprehensive.io7%
Comprehensive.io7%05Glassdoor3%
Glassdoor3%06Ravio2%
Ravio2%07Mercer MarketPricer2%
Mercer MarketPricer2%08Levels.fyi0%
Levels.fyi0%09Mercer Total Remuneration Survey0%
Mercer Total Remuneration Survey0%10Radford0%
What they warned about
One of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, Perplexity Sonar, Grok 4.20, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2, GLM 4.7 FlashX, MiniMax M2.5 and GPT-6 Luna changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Radford
70%
16 of 23 labels negative · 9 of 14 models · 3 hard negative
“prioritizing free/low-cost options over premium enterprise tools like Mercer, Radford, or Willis Towers Watson” Grok 4.20, budget prompt
Payscale21%
9 of 42 labels negative · 8 of 14 models
“requires expensive annual subscriptions (often $5,000–$10,000+) which are inefficient for a small team” Qwen 3.7 Flash, budget prompt
Mercer Total Remuneration Survey67%
14 of 21 labels negative · 7 of 14 models · 3 hard negative
“The benchmarking providers that a small business should be cautious about or avoid are Mercer, Willis Towers Watson (WTW), and Radford” Llama 4 Maverick, negative prompt
Culpepper Compensation Surveys71%
5 of 7 labels negative · 5 of 14 models
“Most enterprise compensation software (like Culpepper or PayScale) requires expensive annual subscriptions (often $5,000–$10,000+) which are inefficient for a small team” Qwen 3.7 Flash, budget prompt
What they cite
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted.
Sites the answers cite
69 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 852 links across 293 sites, every framing counted. Ranked by the number of answers carrying the site or page. 22 of the 252 answers across every segment cited this index's own page for the category; the method page measures whether that reading tilts an answer.
vendor site · Ravio38 answers · 80 citations · 12 models
vendor site · G229 answers · 37 citations · 11 models
vendor site · Salary.com26 answers · 44 citations · 12 models
vendor site · Comprehensive18 answers · 22 citations · 10 models
16 answers · 16 citations · 9 models
14 answers · 14 citations · 9 models
vendor site · SalaryCube13 answers · 17 citations · 6 models
vendor site · Payscale12 answers · 23 citations · 7 models
vendor site · Pave12 answers · 19 citations · 7 models
vendor site · Salary.com10 answers · 14 citations · 8 models
10 answers · 11 citations · 8 models
vendor site · Reddit10 answers · 11 citations · 5 models
Pages the answers cite
The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.
20 answers · 10 models
18 answers · 10 models
18 answers · 9 models
18 answers · 8 models
16 answers · 9 models
14 answers · 9 models
14 answers · 9 models
13 answers · 10 models
11 answers · 6 models
9 answers · 8 models
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “benchmarking providers”, “best salary benchmarking data provider”, “salary benchmarking data provider”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
| Company and products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Paid search a month, est. | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|---|
| Pave pave.com Pave 19%, Pave Market Data Lite 3%, Option Impact 2% | 24% | 191 | 27,100 | 28,423 | 7,645 | $91 | 7 | |
| Payscale payscale.com | 12% | 209 | 9,900 | 299 | 1,408,989 | $26 | 33 | 3 |
| Salary.com CompAnalyst salary.com Salary.com CompAnalyst 10%, Salary.com Compdata Surveys 2% | 12% | 148 | 260 | 3 | 1,069,118 | $1,642 | 70 | |
| Comprehensive.io comprehensive.io | 7% | 60 | 50 | 0 | 2,021 | 3 | ||
| Bureau of Labor Statistics | 5% | 110,000 | 393 | |||||
| Glassdoor glassdoor.com | 3% | 73 | 550,000 | 8,378 | 18,924,574 | $647 | 119 | |
| BLS OEWS | 3% | |||||||
| SalaryCube salarycube.com | 3% | 31 | 30 | 0 | 2,822 | 1 | 8 | |
| BLS Occupational Employment and Wage Statistics | 3% | |||||||
| WTW's Pay Benchmarks for Growing Companies wtwco.com | 3% | 4 | 58,919 | 3 | 3 |
Google's top ten for the three searches hold 25 sites; 6 of them are among the sites the models cited here (comprehensive.io, g2.com, payscale.com, ravio.com, reddit.com, salarycube.com). The first result for “benchmarking providers” is thehackettgroup.com.
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.ShowHide
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ShowHideModelDirect“What is the best salary benchmarking data provider for a small B2B company?”Paraphrase“Which compensation survey data would you recommend to a small business that sells to other businesses?”Comparative“What are the top benchmarking providers for a small team and how do they differ?”Budget-constrained“What is the best salary benchmarking data provider for a small company with a tight budget?”Scale-constrained“We are a 30 person company evaluating a salary benchmarking data provider. What should we look at?”Negative“Which benchmarking providers should a small business avoid or be cautious about?”
Claude Haiku 4.5PaveBLS, GlassdoorChangedPaveagainst: GlassdoorPave, The Bureau of Labor Statisticsno first choicenothing named
Four alternatives
Comprehensive.io, Payscale, Ravio, Salary.com CompAnalystTwo alternatives
Payscale, Salary.com CompAnalystOne alternative
LatticeThree alternatives
BLS OEWS, Comprehensive.io, PayscaleGPT-5.4 miniPayscaleagainst: Mercer Total Remuneration Survey, WTWBLS Occupational Employment and Wage Statistics, PayscaleChangedOpenComp, Payscaleagainst: Mercer Total Remuneration Survey, Radford, WTWSalary.com CompAnalystno first choicenothing named
Two alternatives
Option Impact, RadfordTwo alternatives
Comptryx, RadfordOne alternative
Salary.com CompAnalystTwo alternatives
Payscale Ascent, WorkleapGemini 3.5 FlashPaveagainst: Mercer Total Remuneration Survey, RadfordRepVue, The Bridge GroupChangedagainst: Aon Radford, Mercer Total Remuneration Survey, WTWCarta Total Compensation, PaveOpenComp, Paveagainst: Glassdoor, Korn Ferry Pay, Mercer Total Remuneration Survey, Radfordno first choiceagainst: Radford/Aonagainst: Forrester, Gartner, IDC
Three alternatives
Carta Total Compensation, Payscale, Salary.com CompAnalystFive alternatives
Pave, Pavilion, Payscale, Salary.com CompAnalyst, U.S. Bureau of Labor Statistics (BLS) - OEWS DataFour alternatives
Comprehensive.io, Payscale, Ravio, Salary.com CompAnalystFour alternatives
Carta Total Compensation, Levels.fyi, Payscale, U.S. Bureau of Labor StatisticsSix alternatives
Carta Total Compensation, Levels.fyi, OpenComp, Pave, Payscale, Salary.com CompAnalystPerplexity SonarPayscaleagainst: Deel Global Salary Insights, RavioWTW's Pay Benchmarks for Growing CompaniesChangedPayscale, Salary.com CompAnalystagainst: Mercer Total Remuneration SurveyPaveagainst: Mercer Total Remuneration Survey, Radford, SalaryCube, WTWno first choiceagainst: Korn Ferry Pay, Mercer Total Remuneration Survey, Payscale, Radford, WTW
Two alternatives
Comprehensive.io, PaveThree alternatives
ERI, Radford McLagan, Salary.com industry surveysThree alternatives
Aon's Radford McLagan Compensation Database, Ravio, WTWThree alternatives
BLS, Comprehensive.io, RavioGrok 4.20Payscaleagainst: Mercer Total Remuneration Survey, RadfordBLS Occupational Employment and Wage StatisticsChangedagainst: Culpepper Compensation Surveys, Payscale, RadfordDataboxagainst: APQC, Crayon, KlueBureau of Labor Statisticsagainst: Mercer Total Remuneration Survey, Radford, Willis Towers WatsonFigures, Ravioagainst: Mercer Total Remuneration Survey, Radford, Salary.com CompAnalystagainst: Bench, Circana/PotatoTrac, Semrush, Similarweb
Four alternatives
Bureau of Labor Statistics (BLS) OEWS, Glassdoor, Indeed, Salary.com CompAnalystTwo alternatives
Mercer MarketPricer Reports, Salary.com Industry-Specific SurveysFour alternatives
Klipfolio, Semrush, Similarweb, SpyFuFive alternatives
Glassdoor, Indeed, Payscale, Ravio, Salary.com CompAnalystTwo alternatives
Carta Total Compensation, PaveMistral SmallSalary.com CompAnalystPayscale, Salary.com CompAnalystChangedRavioBureau of Labor Statistics, Comprehensive.iono first choiceagainst: Bench Accounting, Radford
One alternative
Mercer MarketPricerThree alternatives
Compensation Force, Radford, SHRM Custom Survey ServiceOne alternative
PaveTwo alternatives
Indeed, PayscaleDeepSeek V4 FlashSalaryCubeagainst: Payscale, RadfordSalary.com Compdata SurveysChangedagainst: Aon's Radford McLagan Compensation DatabaseDatabox, SimpleKPIagainst: Domo, TableauComprehensive.ioagainst: Pave, Payscale Payfactors, Radfordno first choiceagainst: Forrester, Gartner, IDC
Five alternatives
BLS, Glassdoor, Mercer MarketPricer, Pave, RavioThree alternatives
CaptivateIQ's Sales Compensation Benchmarks Report, Payscale, U.S. Bureau of Labor StatisticsSeven alternatives
APQC, Fathom, Geckoboard, Klipfolio, Payscale, Ravio, SpendHoundFive alternatives
Bureau of Labor Statistics, Glassdoor, Robert Half Salary Guide, Salary.com CompAnalyst, SalaryCubeLlama 4 Maverickno first choiceWTW's Pay Benchmarks for Growing CompaniesChangedno first choiceComprehensive.iono first choiceagainst: Mercer Total Remuneration Survey, Radford, Willis Towers Watson
Four alternatives
NFIB's Small Business Economic Trends Report, Radford McLagan Compensation Database, Salary.com CompAnalyst, Xactlycorp's 2024 Sales Compensation SurveyThree alternatives
Pave, Ravio, SalaryCubeQwen 3.7 FlashSalary.com CompAnalystPayscaleChangedPaveBureau of Labor Statistics, Mercer MarketPriceragainst: Culpepper Compensation Surveys, Payscale, Radford, Willis Towers WatsonOption Impact, Paveagainst: CompAnalyst, Mercer Total Remuneration Survey, Radfordagainst: Dun & Bradstreet
Five alternatives
BLS OEWS, Comprehensive.io, Founderpath, Mercer Total Remuneration Survey, PaveThree alternatives
Option Impact, Robert Half Guide, Salary.com CompAnalystTwo alternatives
Payscale, SalaryCubeSix alternatives
Comprehensive.io, Glassdoor, Indeed Salary Search, Levels.fyi, Michael Page Salary Guides, Robert Half Salary GuideOne alternative
Levels.fyiKimi K2PavePayscale, SalaryCubeChangedagainst: Radfordno first choicePave Market Data Liteagainst: Levels.fyi, PayscalePaveagainst: Culpepper Compensation Surveys, Payscaleagainst: Benchmark Services
Three alternatives
OpenComp, Payscale, Salary.com CompAnalystFour alternatives
Bureau of Labor Statistics (BLS) OEWS, Mercer MarketPricer, Salary.com CompAnalyst, Xactly 2024 Sales Compensation SurveyFour alternatives
Bureau of Labor Statistics (BLS) OEWS, Comprehensive.io, Glassdoor, Mercer MarketPricerSeven alternatives
Deel Compensation, Figures, Lattice, OpenComp, PayPrecise, Ravio, SalaryCubeGLM 4.7 FlashXSalary.com CompAnalystagainst: PayLabBridge GroupChangedno first choiceBLS OEWS, Glassdooragainst: Aon Radford, Culpepper Compensation Surveys, Mercer Benchmark Database, Payscale Ascentno first choiceagainst: NostraData, PowerStats
Three alternatives
Bureau of Labor Statistics, Pave, PayscaleFour alternatives
Culpepper Compensation Surveys, Payscale, Salary.com CompAnalyst, WorldatWorkFour alternatives
Comprehensive.io, Mercer MarketPricer, Pave Market Data Lite, WagewebMiniMax M2.5Salary.com CompAnalystBLS Occupational Employment & Wage StatisticsChangedagainst: McLagan (Aon) – Financial Services & Consulting, Mercer's Global Compensation Database, Radford (Aon) Survey, Willis Towers Watson Data Servicesno first choiceBureau of Labor Statistics (BLS) Occupational Employment Statisticsagainst: Payscaleno first choiceagainst: Glassdoor, Indeed
Two alternatives
Comparably, PayscaleFour alternatives
BLS National Compensation Survey, Glassdoor "Salary" Database, Payscale, SHRM (Society for Human Resource Management) Compensation SurveyFour alternatives
Glassdoor, Mercer MarketPricer, Pave, Salary.com Compdata SurveysGPT-6 LunaPaveagainst: BLS dataIFDAChangedagainst: Payscale, Salary.com CompAnalystno first choicePave Market Data Liteno first choicenothing named
Two alternatives
Carta Total Compensation, Salary.com CompAnalystTwo alternatives
BLS OEWS, National Sales Compensation SurveyOne alternative
U.S. Bureau of Labor StatisticsMuse Glimmer 30BPavePaveHeldno first choiceBLS OEWS, Comprehensive.io, Pave Market Data Launchagainst: Culpepper Compensation Surveys, Payscaleno first choiceagainst: Glassdoor, Mercer Total Remuneration Survey, Willis Towers Watson
Three alternatives
Comprehensive.io, Payscale, Salary.com CompAnalystThree alternatives
Payscale, Xactly 2024 Sales Compensation Survey, iMercer Growing Businesses Salary ReportFour alternatives
Glassdoor, LinkedIn Salary, Mercer MarketPricer, Option ImpactTwo alternatives
Comprehensive.io, PaveBold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency.
Eighty-four rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 12:14 | yes | 10 | 6 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 12:44 | no | 0 | 4 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 09:04 | no | 0 | 16 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-11-01 08:56 | yes | 10 | 3 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:05 | yes | 11 | 38 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:57 | yes | 5 | 4 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 08:47 | yes | 22 | 23 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 11:35 | yes | 5 | 3 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 11:17 | yes | 9 | 60 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 10:46 | yes | 24 | 32 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 08:54 | yes | 10 | 18 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 12:04 | yes | 8 | 23 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-11-01 09:47 | yes | 3 | 11 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 11:05 | yes | 13 | 21 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 08:42 | no | 0 | 5 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 12:18 | no | 0 | 3 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 10:30 | yes | 13 | 23 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-11-01 09:38 | yes | 10 | 3 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:13 | yes | 5 | 31 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 12:38 | no | 0 | 6 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 12:49 | yes | 25 | 32 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 11:12 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 11:17 | no | 0 | 30 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 11:22 | yes | 14 | 24 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:36 | yes | 24 | 39 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 09:02 | no | 0 | 107 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-11-01 11:57 | yes | 3 | 17 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 10:46 | yes | 22 | 30 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 11:31 | yes | 17 | 10 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 10:42 | yes | 6 | 9 s |
| Comparative | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 11:34 | yes | 9 | 21 s |
| Comparative | Perplexity Sonar | sonar | 2026-11-01 10:46 | yes | 10 | 5 s |
| Comparative | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:13 | yes | 15 | 40 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:18 | yes | 5 | 6 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 12:07 | yes | 24 | 32 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 11:30 | yes | 5 | 3 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 10:35 | yes | 9 | 30 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 10:53 | yes | 24 | 35 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:26 | yes | 19 | 29 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 12:02 | yes | 15 | 44 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-11-01 11:55 | no | 0 | 2 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 10:37 | yes | 24 | 38 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 08:41 | yes | 10 | 7 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 11:35 | yes | 4 | 6 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 11:32 | yes | 14 | 23 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-11-01 10:24 | yes | 10 | 4 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:06 | yes | 10 | 33 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 08:51 | yes | 5 | 4 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 08:39 | yes | 21 | 19 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 12:29 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 10:30 | yes | 5 | 31 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 12:13 | yes | 10 | 15 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 09:09 | yes | 9 | 22 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 12:18 | yes | 14 | 57 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 09:21 | yes | 3 | 12 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 12:41 | yes | 13 | 24 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 11:51 | no | 0 | 6 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 12:51 | no | 0 | 7 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 11:54 | no | 0 | 16 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-11-01 12:04 | yes | 10 | 7 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:07 | yes | 5 | 27 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 10:21 | no | 0 | 7 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 11:01 | yes | 19 | 36 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 12:58 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 12:05 | no | 0 | 31 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 10:39 | yes | 22 | 36 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:11 | yes | 13 | 117 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 11:13 | no | 0 | 16 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 11:40 | yes | 2 | 14 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 09:22 | yes | 12 | 20 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 12:57 | yes | 19 | 8 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 09:43 | yes | 2 | 5 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 12:38 | no | 0 | 15 s |
| Negative framing | Perplexity Sonar | sonar | 2026-11-01 12:00 | yes | 10 | 4 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:03 | yes | 15 | 31 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 12:55 | yes | 15 | 7 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 11:33 | yes | 24 | 34 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 10:31 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 12:29 | yes | 20 | 44 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 12:31 | yes | 24 | 48 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:03 | yes | 23 | 44 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 12:36 | yes | 24 | 59 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-11-01 10:06 | yes | 2 | 18 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 12:51 | yes | 15 | 24 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
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Category-scoped readings
Aon read as Aon's Radford McLagan Compensation Database
Carta read as Carta Total Compensation
Carta Total Comp read as Carta Total Compensation
Culpepper read as Culpepper Compensation Surveys
Deel read as Deel Compensation
Korn Ferry read as Korn Ferry Pay
Mercer read as Mercer Total Remuneration Survey
Robert Half read as Robert Half Salary Guide
Salary.com read as Salary.com CompAnalyst
Salary.com (CompAnalyst Market Data Max) read as Salary.com CompAnalyst
Salary.com (CompAnalyst Market Data) read as Salary.com CompAnalyst
Salary.com (CompAnalyst) read as Salary.com CompAnalyst
Salary.com (Free Resources) read as Salary.com CompAnalyst
Salary.com (Salary Wizard / CompAnalyst for Small Business) read as Salary.com CompAnalyst
Salary.com Benchmark Pro read as Salary.com Compdata Surveys
Salary.com's CompAnalyst read as Salary.com CompAnalyst
Unresolved, counted raw
APQC Benchmarking
ATO
ATO benchmarks
Abbott Langer & Associates
Alexander Group Sales Compensation Trends
Australian Bureau of Statistics
Australian Taxation Office
BLS National Compensation Survey (NCS)
BLS wage data
BambooHR Salary Data
Bench Accounting
Benchmark Services
Benchmarkit
BizStats
BlazeMeter
Bureau of Labor Statistics (BLS) Occupational Employment Statistics
Bureau of Labor Statistics Occupational Employment Statistics
CaptivateIQ's Sales Compensation Benchmarks Report
Census Bureau data
Chief Executive's CEO & Senior Executive Compensation Report
Circana/PotatoTrac
Compensation Force
Compensation and HR Group Survey
FRED (Federal Reserve)
Founderpath
Gartner Pay
Gatling
Glassdoor "Salary" Database
IRS/ATO small business benchmarks
Indeed Salary
Indeed Salary Search
Kompyte
Local/Regional Chambers of Commerce
Locust
Majestic
McLagan (Aon) – Financial Services & Consulting
Mercer MarketPricer Reports
Mercer's Global Compensation Database (GRCS)
Michael Page Salary Guides
NFIB's Small Business Economic Trends Report
NostraData
Pave Market Data Launch
PayPrecise
Payscale Payfactors
Playroll x Ravio
PowerStats
PriceLabs
Prisync
RMA (Risk Management Association)
RMA-style studies
Radford (Aon) Survey
Radford McLagan
Radford McLagan Compensation Database
Robert Half Guide
SBA data
SHRM (Society for Human Resource Management) Compensation Survey
SHRM Custom Survey Service
Salary.com Industry-Specific Surveys
Salary.com industry surveys
Small Business Administration (SBA)
Social Blade
SpyFu
The Bureau of Labor Statistics (BLS)
The U.S. Census Bureau
Typo
U.S. Bureau of Labor Statistics (BLS) - OEWS Data
U.S. Census Bureau – Annual Survey of Wages (ASEC)
U.S. SBA Office of Advocacy
US Bureau of Labor Statistics (BLS / O*NET)
Wageweb
Xactlycorp's 2024 Sales Compensation Survey
iMercer Growing Businesses Salary Report
Discontinued, still offered
No shut-down product was recommended here.