Compensation benchmarking data
Asked as “salary benchmarking data provider”, and as “compensation survey data”, on behalf of a mid-market B2B company. 55 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
18%
Contested · Pave 15%
18Payscale15Pave09Comprehensive.io58others
18% of first choices, contested.
Since October 2026↗new leaderNew leader since October 2026: Payscale (18%) replaces Pave (19% then, 15% now), 3 points clear, inside the 13-point floor.Payscale leads at 18%, replacing Pave, which led at 19% and stands at 15% now: 3 points clear, inside the floor, so the swap reads as unsettled.
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.Standing →Mid-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.This pageEnterprise
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.Standing →Mid-marketPayscale18%Contested↗new leaderNew leader since October 2026: Payscale (18%) replaces Pave (19% then, 15% now), 3 points clear, inside the 13-point floor.This pageEnterpriseMercer 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 mid-market B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince October 2026
01Payscale18%9%32accepted challenger▼−1Since October 2026: 19% → 18%, −1 point. Inside the 13-point floor: within noise.19% → 18%
Payscale18%9%32accepted challenger▼−1Since October 2026: 19% → 18%, −1 point. Inside the 13-point floor: within noise.19% → 18%02Pave15%0%36accepted challenger▼−4Since October 2026: 19% → 15%, −4 points. Inside the 13-point floor: within noise.19% → 15%
Pave15%0%36accepted challenger▼−4Since October 2026: 19% → 15%, −4 points. Inside the 13-point floor: within noise.19% → 15%03
Comprehensive.io9%0%15accepted challenger▲+2Since October 2026: 7% → 9%, +2 points. Inside the 13-point floor: within noise.7% → 9%
Comprehensive.io9%0%15accepted challenger▲+2Since October 2026: 7% → 9%, +2 points. Inside the 13-point floor: within noise.7% → 9%04
Salary.com CompAnalyst4%14%22accepted challenger▼−5Since October 2026: 9% → 4%, −5 points. Inside the 13-point floor: within noise.9% → 4%
Salary.com CompAnalyst4%14%22accepted challenger▼−5Since October 2026: 9% → 4%, −5 points. Inside the 13-point floor: within noise.9% → 4%05
Glassdoor4%38%16criticized challenger▲+4Since October 2026: 0% → 4%, +4 points. Inside the 13-point floor: within noise.0% → 4%
Glassdoor4%38%16criticized challenger▲+4Since October 2026: 0% → 4%, +4 points. Inside the 13-point floor: within noise.0% → 4%06Mercer Total Remuneration Survey4%50%34criticized challenger▲+1Since October 2026: 3% → 4%, +1 point. Inside the 13-point floor: within noise.3% → 4%
Mercer Total Remuneration Survey4%50%34criticized challenger▲+1Since October 2026: 3% → 4%, +1 point. Inside the 13-point floor: within noise.3% → 4%07Radford2%48%21criticized challenger▼−3Since October 2026: 5% → 2%, −3 points. Inside the 13-point floor: within noise.5% → 2%
08Willis Towers Watson2%46%13criticized challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise.0% → 2%
Show the one product at 0%, ordered by negative rate
09
Ravio0%0%18accepted challenger▼−7Since October 2026: 7% → 0%, −7 points. Inside the 13-point floor: within noise.7% → 0%
Ravio0%0%18accepted challenger▼−7Since October 2026: 7% → 0%, −7 points. Inside the 13-point floor: within noise.7% → 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.
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 →
010203040506R07
W08
09Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative30%
Key
01Payscale18%
Payscale18%02Pave15%
Pave15%03Comprehensive.io9%
Comprehensive.io9%04Salary.com CompAnalyst4%
Salary.com CompAnalyst4%05Glassdoor4%
Glassdoor4%06Mercer Total Remuneration Survey4%
Mercer Total Remuneration Survey4%07Radford2%
08Willis Towers Watson2%
09Ravio0%
Ravio0%What they warned about
Two of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, Perplexity Sonar, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, GLM 4.7 FlashX, MiniMax M2.5, GPT-6 Luna and Muse Glimmer 30B 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.
Mercer Total Remuneration Survey50%
17 of 34 labels negative · 10 of 14 models · 3 hard negative
“Providers to avoid or use carefully include: - Mercer, Willis Towers Watson (WTW), and Radford when the budget is tight” Muse Glimmer 30B, negative prompt
Radford
48%
10 of 21 labels negative · 7 of 14 models · 2 hard negative
“Providers to avoid or use carefully include: - Mercer, Willis Towers Watson (WTW), and Radford when the budget is tight” Muse Glimmer 30B, negative prompt
Willis Towers Watson
46%
6 of 13 labels negative · 5 of 14 models · 3 hard negative
“explicitly advise skipping these providers unless you have a significant budget and need deep integration capabilities” Muse Glimmer 30B, negative prompt
Glassdoor38%
6 of 16 labels negative · 5 of 14 models · 2 hard negative
“Avoid those relying heavily on unverified crowdsourced data (e.g., from Glassdoor or Levels.fyi), as it can be biased or inflated.” Grok 4.20, scale 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
67 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. 738 links across 253 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 · Ravio33 answers · 74 citations · 11 models
vendor site · Comprehensive25 answers · 29 citations · 10 models
vendor site · Salary.com17 answers · 31 citations · 11 models
vendor site · G214 answers · 19 citations · 9 models
vendor site · Payscale13 answers · 23 citations · 8 models
vendor site · GitHub12 answers · 14 citations · 5 models
11 answers · 13 citations · 7 models
vendor site · SalaryCube10 answers · 15 citations · 6 models
10 answers · 11 citations · 7 models
9 answers · 21 citations · 9 models
vendor site · Reddit9 answers · 20 citations · 8 models
vendor site · Pin9 answers · 9 citations · 8 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.
25 answers · 10 models
16 answers · 9 models
16 answers · 8 models
12 answers · 9 models
11 answers · 7 models
11 answers · 9 models
9 answers · 7 models
9 answers · 8 models
8 answers · 8 models
7 answers · 7 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 |
|---|---|---|---|---|---|---|---|---|
| Payscale payscale.com Payscale 18%, Payscale MarketPay 2% | 20% | 209 | 9,900 | 299 | 1,408,989 | $26 | 33 | 3 |
| Pave pave.com Pave 15%, Pave Market Data Lite 2% | 16% | 191 | 27,100 | 28,423 | 7,645 | $91 | 7 | |
| Comprehensive.io comprehensive.io | 9% | 60 | 50 | 0 | 2,021 | 3 | ||
| Bureau of Labor Statistics | 5% | 110,000 | 393 | |||||
| Salary.com CompAnalyst salary.com Salary.com CompAnalyst 4%, Salary.com Compdata Surveys 2% | 5% | 148 | 260 | 3 | 1,069,118 | $1,642 | 70 | |
| SalaryCube salarycube.com | 4% | 31 | 30 | 0 | 2,822 | 1 | 8 | |
| Figures figures.hr | 4% | 54 | 90,500 | 269,511 | 3,710 | |||
| Glassdoor glassdoor.com | 4% | 73 | 550,000 | 8,378 | 18,924,574 | $647 | 119 | |
| Mercer mercer.com Mercer Total Remuneration Survey 4% | 4% | 77 | 49,500 | 23,681 | 98,058 company | 18 | 4 | |
| CompAnalyst compa.ai | 2% | 16 | 590 | 12 | 4,124 | 0 |
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 mid-market B2B company?”Paraphrase“Which compensation survey data would you recommend to a mid-sized B2B company?”Comparative“What are the top benchmarking providers and how do they differ?”Budget-constrained“What is the best salary benchmarking data provider for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a salary benchmarking data provider. What should we look at?”Negative“Which benchmarking providers should I avoid or be cautious about?”
Claude Haiku 4.5Pave, SalaryCubeno first choiceChangedno first choiceComprehensive.io, Paveno first choicenothing named
Three alternatives
CompUp, OpenComp, Payscale AscentTwo alternatives
ERI Economic Research Institute, WorldatWorkTwo alternatives
BLS OEWS, BambooHRGPT-5.4 miniSalary.com CompAnalystMercer Total Remuneration Survey, Willis Towers WatsonChangedKorn Ferry PayCompUpagainst: Salary.com CompAnalystno first choicenothing named
Three alternatives
Compensation-IQ, Pave, Payscale AscentTwo alternatives
Payscale, RadfordOne alternative
OpenCompGemini 3.5 FlashPaveagainst: RadfordRadfordChangedPave, RadfordPaveagainst: Mercer Total Remuneration Survey, Radford/Aon, Willis Towers Watsonno first choiceagainst: Glassdoor, Payscalenothing named
Three alternatives
Carta Total Compensation, Payscale, Salary.com CompAnalystSeven alternatives
Alexander Group Sales Compensation Surveys, Carta Total Compensation, Culpepper Compensation Surveys, Mercer Benchmark Database, Pave, Salary.com CompAnalyst, Willis Towers WatsonTwo alternatives
Carta Data, ChartMogulSix alternatives
Comprehensive.io, Levels.fyi, O*NET, Payscale, Salary.com CompAnalyst, U.S. Bureau of Labor StatisticsPerplexity SonarPayscaleagainst: Mercer Total Remuneration Survey, Radford/Aon, WTWPayscale MarketPay, WTW's Pay Benchmarks for Growing CompaniesChangedagainst: Korn Ferry Pay, Mercer Total Remuneration SurveyAon Radford, Korn Ferry Pay, Mercer Total Remuneration Survey, WTWComprehensive.ioagainst: Deel Global Salary Insightsno first choiceagainst: Arena, Glassdoor, Korn Ferry Pay, Mercer Total Remuneration Survey, Radford, UserBenchmark, Willis Towers Watson
Three alternatives
Pave, Ravio, SalaryCubeOne alternative
Radford/AonThree alternatives
Payscale, Ravio, Salary.com CompAnalystThree alternatives
BLS Occupational Employment and Wage Statistics, Pave Market Data Lite, RavioGrok 4.20Payscaleagainst: Built In, Glassdoor, Levels.fyi, Mercer Total Remuneration Survey, Radford, Willis Towers WatsonPayscaleHeldagainst: Mercer Total Remuneration Survey, Willis Towers Watsonno first choiceBureau of Labor Statisticsagainst: Mercer Total Remuneration Survey, Payscale, Radford, Salary.com CompAnalystno first choiceagainst: Glassdoor, Levels.fyi, Mercer Total Remuneration Survey, Salary.com CompAnalystnothing named
Three alternatives
Pave, Ravio, Salary.com CompAnalystSix alternatives
CompAnalyst, Comptool, Culpepper Compensation Surveys, Pave, Radford, Salary.com CompAnalystThree alternatives
Comprehensive.io, Pave, RavioMistral SmallPaveCulpepper Compensation Data & Consulting Services, Salary.com Compdata Compensation SurveysChangedno first choiceBureau of Labor Statisticsno first choiceagainst: UserBenchmark
Two alternatives
Mercer Total Remuneration Survey, PayscaleTwo alternatives
Korn Ferry Pay: Compensation Surveys, PayscaleFour alternatives
Comprehensive.io, Indeed, Pave, RavioDeepSeek V4 FlashPayscaleagainst: RadfordPayscale, Salary.com CompAnalystChangedno first choicePaveno first choiceagainst: BLS, Glassdoor, Mercer Total Remuneration Survey, Radford, WTWagainst: Mercer Total Remuneration Survey, Radford, Willis Towers Watson
Four alternatives
Mercer Benchmark Database, Pave, Ravio, SalaryCubeThree alternatives
Mercer Benchmark Database, Pave, XactlyEight alternatives
APQC, BCG, Bain & Company, Crisil Coalition Greenwich, Gartner, KPMG, McKinsey & Company, The Hackett GroupThree alternatives
BLS Occupational Employment Statistics, Comprehensive.io, SalaryCubeTwo alternatives
Pave, RavioLlama 4 MaverickSalaryCubeno first choiceChangedno first choiceComprehensive.iono first choicenothing named
Three alternatives
Mercer Total Remuneration Survey, Pave, PayscaleTwo alternatives
Pave, RavioQwen 3.7 FlashComprehensive.ioagainst: Levels.fyi, Mercer Total Remuneration SurveyWorldatWorkChangedagainst: Robert Half Management Resources Salary GuideMercer Total Remuneration SurveyPaveOptionImpact, Pave, ProSightsagainst: Adzuna, BLS, Glassdoor, Radfordagainst: Agri Stats, British Bankers' Association (BBA) / LIBOR
Four alternatives
Figures, Pave, Payscale, Salary.com CompAnalystTwo alternatives
Mercer Total Remuneration Survey, PaveOne alternative
Korn Ferry PaySix alternatives
BLS Occupational Employment Statistics, Comprehensive.io, Glassdoor, LinkedIn Salary, Mercer MarketPricer, RavioKimi K2PayscalePayscaleHeldagainst: Mercer Total Remuneration Survey, RadfordKorn Ferry Pay, Mercer Total Remuneration Survey, Willis Towers WatsonU.S. Bureau of Labor Statisticsno first choiceagainst: Geekbench, MLPerf, PassMark, UserBenchmark
Four alternatives
Mercer Total Remuneration Survey, Pave, Radford, Salary.com CompAnalystTwo alternatives
Culpepper Compensation Surveys, PaveSix alternatives
Comprehensive.io, Glassdoor, Mercer MarketPricer, Pave, Payscale, RavioGLM 4.7 FlashXFigures, SalaryCube Comp Planningagainst: Mercer Total Remuneration Survey, WTWFigures, Salary.com Compdata SurveysChangedno first choiceBLS OEWS, Glassdoorno first choicenothing named
Two alternatives
Pave, Salary.com CompAnalystSix alternatives
Everstage, Korn Ferry Pay, Mercer Total Remuneration Survey, Pave, Radford, XactlySix alternatives
Comprehensive.io, Culpepper Compensation Surveys, Figures, Mercer MarketPricer, Pave, Payscale AscentMiniMax M2.5CompAnalyst, Payscaleagainst: Mercer Total Remuneration SurveyMercer Total Remuneration SurveyChangedno first choiceBureau of Labor Statistics, Glassdooragainst: Culpepper Compensation Surveys, Payscaleno first choiceagainst: UserBenchmark
One alternative
PaveThree alternatives
Payscale, Radford Global Technology Survey, Salary.com CompAnalystTwo alternatives
Indeed, Mercer MarketPricerGPT-6 LunaPayscaleagainst: Aon Radford, Mercer Total Remuneration SurveyAon RadfordChangedno first choiceBLS Occupational Employment and Wage Statisticsno first choiceagainst: BLS occupational wage estimatesnothing named
One alternative
PaveFour alternatives
Mercer Total Remuneration Survey, Payscale Peer, Salary.com's Compdata, WTWTwo alternatives
Payscale, Salary.com CompAnalystMuse Glimmer 30BPayscalePavilion B2B Compensation Benchmarks 2024Changedagainst: Mercer Total Remuneration Survey, Radford ComptryxThe Hackett GroupComprehensive.io, Pave Market Data Liteno first choiceagainst: Arena, Mercer Total Remuneration Survey, Radford, WTW, Willis Towers Watson
Five alternatives
CompAnalyst, Comprehensive.io, Pave, Salary.com CompAnalyst, SalaryCubeFour alternatives
Bridge Group SaaS AE Metrics & Compensation Research, CompData Surveys, Payscale Compensation Best Practices Report, RepVueOne alternative
APQC – American Productivity and Quality CenterTwo alternatives
BLS Occupational Employment Statistics - OES, Salary.com Compdata SurveysBold 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 10:14 | yes | 10 | 7 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 09:57 | yes | 3 | 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 12:06 | no | 0 | 16 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-11-01 11:42 | yes | 10 | 3 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:26 | yes | 8 | 28 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 12:59 | yes | 5 | 5 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 11:44 | yes | 23 | 24 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 08:54 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 10:57 | yes | 5 | 37 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 10:17 | yes | 18 | 27 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 12:51 | yes | 24 | 22 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 11:21 | yes | 5 | 21 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-11-01 08:53 | yes | 3 | 12 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 09:28 | yes | 13 | 16 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 08:58 | no | 0 | 5 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 09:14 | yes | 4 | 5 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 09:04 | no | 0 | 15 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-11-01 12:24 | yes | 10 | 4 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:09 | yes | 5 | 31 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:16 | yes | 5 | 5 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 11:21 | yes | 25 | 22 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 10:47 | yes | 5 | 3 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 12:52 | no | 0 | 30 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 08:59 | yes | 14 | 25 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 12:32 | yes | 20 | 95 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 12:47 | no | 0 | 15 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-11-01 09:56 | yes | 4 | 16 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 09:55 | yes | 23 | 30 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 12:51 | yes | 9 | 8 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 09:54 | yes | 5 | 7 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 10:50 | no | 0 | 15 s |
| Comparative | Perplexity Sonar | sonar | 2026-11-01 12:55 | yes | 10 | 6 s |
| Comparative | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:25 | yes | 10 | 33 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 11:43 | yes | 5 | 6 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 11:09 | yes | 25 | 28 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 10:26 | yes | 5 | 3 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 10:17 | yes | 20 | 56 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 10:49 | yes | 9 | 42 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 11:34 | yes | 24 | 130 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 11:39 | yes | 18 | 92 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-11-01 10:16 | no | 0 | 2 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 11:58 | yes | 22 | 38 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 09:04 | yes | 17 | 8 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 09:55 | yes | 3 | 4 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 10:32 | no | 0 | 15 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-11-01 09:12 | yes | 10 | 3 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:16 | yes | 8 | 27 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 11:56 | yes | 5 | 4 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 10:38 | yes | 19 | 25 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 09:13 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 11:58 | yes | 5 | 29 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 09:58 | yes | 9 | 22 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 09:41 | yes | 12 | 62 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 11:49 | yes | 5 | 24 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 11:07 | yes | 3 | 17 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 11:39 | yes | 14 | 19 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 09:05 | no | 0 | 7 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 12:58 | 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 08:53 | no | 0 | 20 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-11-01 12:11 | yes | 10 | 8 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:15 | yes | 5 | 33 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 12:22 | no | 0 | 7 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 12:53 | yes | 18 | 32 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 12:57 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 11:36 | no | 0 | 28 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 11:32 | yes | 9 | 42 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:40 | no | 0 | 13 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 12:15 | no | 0 | 92 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 11:59 | yes | 3 | 21 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 11:09 | yes | 15 | 25 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 11:47 | no | 0 | 2 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 11:04 | yes | 5 | 7 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 11:16 | yes | 5 | 22 s |
| Negative framing | Perplexity Sonar | sonar | 2026-11-01 09:12 | yes | 10 | 4 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:12 | yes | 9 | 31 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 11:01 | yes | 5 | 4 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 12:30 | yes | 22 | 32 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 12:55 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 12:19 | yes | 10 | 42 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 11:33 | yes | 25 | 38 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:13 | yes | 24 | 56 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 09:06 | yes | 15 | 52 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-11-01 12:55 | no | 0 | 2 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 08:56 | yes | 14 | 20 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
Bain read as Bain & Company
Carta read as Carta Total Compensation
Carta Total Comp read as Carta Total Compensation
Compdata by Salary.com read as CompData Surveys
Culpepper read as Culpepper Compensation Surveys
Korn Ferry read as Korn Ferry Pay
McKinsey read as McKinsey & Company
Mercer read as Mercer Total Remuneration Survey
Mercer (Marsh) read as Mercer Total Remuneration Survey
Mercer's Total Remuneration Survey (TRS) read as Mercer Total Remuneration Survey
Salary.com 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 Compdata read as Salary.com Compdata Surveys
Salary.com Compdata / Benchmark Pro read as Salary.com Compdata Surveys
Unresolved, counted raw
ADP Professional Service Suite
APQC – American Productivity and Quality Center
Agri Stats
Alexander Group Sales Compensation Surveys
AnandTech
Artificial Analysis
BLS OES
BLS Occupational Employment Statistics - OES
BLS occupational wage estimates
Best Practices, LLC
Bridge Group SaaS AE Metrics & Compensation Research
Bright Data
British Bankers' Association (BBA) / LIBOR
Carta Data
ChartMogul
ComputerBase
Crisil Coalition Greenwich
Culpepper Compensation Data & Consulting Services
ERI Economic Research Institute
Epoch AI's Benchmarking Hub
GamersNexus
GitPrime
Grant Thornton
Mercer Benchmark
MetricNet
Novata
OptionImpact
Pavilion B2B Compensation Benchmarks 2024
Payscale Compensation Best Practices Report
Payscale Peer
ProSights
Radford Comptryx
Radford Global Technology Survey
Robert Half Management Resources Salary Guide
SHRM surveys
Salary.com Compdata Compensation Surveys
Salary.com's Compdata
Salary.com's Compdata Compensation Surveys
Salvation Analytics
Scale
Talentfoot
TechSpot
Tom's Hardware
Towers Watson
WorldatWork Sales Compensation Survey
iMercer's US Compensation Planning Survey
Discontinued, still offered
No shut-down product was recommended here.