Index › HR › Compensation and total rewards › Compensation benchmarkin › Enterprise · November 2026 Edition
Compensation benchmarking data for enterprise buyers
Asked as “salary benchmarking data provider”, and as “compensation survey data”, on behalf of an enterprise B2B company. 58 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
33%
Contested · Salary.com CompAnalyst 9%
33Mercer Total Remuneration Survey09Salary.com CompAnalyst09WTW50others
33% of first choices, contested.
Since October 2026▼−11Since October 2026: 44% → 33%, −11 points. Inside the 13-point floor: within noise.Mercer Total Remuneration Survey held the lead, −11 points on 44%, 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.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.Standing →Enterprise
Mercer Total Remuneration Survey33%Contested▼−11Since October 2026: 44% → 33%, −11 points. Inside the 13-point floor: within noise.This page
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.Standing →EnterpriseMercer Total Remuneration Survey33%Contested▼−11Since October 2026: 44% → 33%, −11 points. Inside the 13-point floor: within noise.This pageThe standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince October 2026
01Mercer Total Remuneration Survey33%11%37endorsed leader▼−11Since October 2026: 44% → 33%, −11 points. Inside the 13-point floor: within noise.44% → 33%
Mercer Total Remuneration Survey33%11%37endorsed leader▼−11Since October 2026: 44% → 33%, −11 points. Inside the 13-point floor: within noise.44% → 33%02
Salary.com CompAnalyst9%10%29accepted challenger▲+9Since October 2026: 0% → 9%, +9 points. Inside the 13-point floor: within noise.0% → 9%
Salary.com CompAnalyst9%10%29accepted challenger▲+9Since October 2026: 0% → 9%, +9 points. Inside the 13-point floor: within noise.0% → 9%03
WTW9%15%20accepted challenger▲+7Since October 2026: 2% → 9%, +7 points. Inside the 13-point floor: within noise.2% → 9%
WTW9%15%20accepted challenger▲+7Since October 2026: 2% → 9%, +7 points. Inside the 13-point floor: within noise.2% → 9%04Radford5%16%19accepted challenger▼−11Since October 2026: 16% → 5%, −11 points. Inside the 13-point floor: within noise.16% → 5%
05Payscale5%17%23accepted challenger▲+1Since October 2026: 4% → 5%, +1 point. Inside the 13-point floor: within noise.4% → 5%
Payscale5%17%23accepted challenger▲+1Since October 2026: 4% → 5%, +1 point. Inside the 13-point floor: within noise.4% → 5%06Willis Towers Watson5%14%14accepted challenger=heldSince October 2026: 5% → 5%, ±0 points. Inside the 13-point floor: within noise.5% → 5%
07Pave3%20%15accepted challenger▼−2Since October 2026: 5% → 3%, −2 points. Inside the 13-point floor: within noise.5% → 3%
Pave3%20%15accepted challenger▼−2Since October 2026: 5% → 3%, −2 points. Inside the 13-point floor: within noise.5% → 3%08
Korn Ferry Pay2%15%13accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise.0% → 2%
Korn Ferry Pay2%15%13accepted 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%15%13accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%
Ravio0%15%13accepted 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.
For buyers
Head to headHead-to-head pages are published for mid-market buyers, so these open on mid-market figures, not enterprise.
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 →
010203R04
05W06
070809Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01Mercer Total Remuneration Survey33%
Mercer Total Remuneration Survey33%02Salary.com CompAnalyst9%
Salary.com CompAnalyst9%03WTW9%
WTW9%04Radford5%
05Payscale5%
Payscale5%06Willis Towers Watson5%
07Pave3%
Pave3%08Korn Ferry Pay2%
Korn Ferry Pay2%09Ravio0%
Ravio0%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, Grok 4.20, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2, 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.
Forrester57%
4 of 7 labels negative · 4 of 14 models · 1 hard negative
“Forrester (Wave reports): Similar incentive structures to Gartner, with vendor participation in evaluations and potential for bias toward paying clients.” Grok 4.20, negative prompt
Gartner44%
4 of 9 labels negative · 4 of 14 models · 1 hard negative
“Providers to Be Cautious About or Avoid Relying on Exclusively - Gartner (especially Magic Quadrant reports): Often criticized as operating on a "pay-to-play" model” Grok 4.20, negative prompt
IDC50%
4 of 8 labels negative · 4 of 14 models · 1 hard negative
“IDC (MarketScape reports): Frequently grouped with Gartner and Forrester in discussions of analyst biases.” Grok 4.20, negative prompt
Mercer Total Remuneration Survey11%
4 of 37 labels negative · 4 of 14 models · 1 hard negative
“Avoid Mercer and Radford for this use case” DeepSeek V4 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
73 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. 913 links across 311 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 · Ravio40 answers · 90 citations · 12 models
vendor site · Salary.com24 answers · 44 citations · 10 models
vendor site · Comprehensive21 answers · 22 citations · 12 models
vendor site · SalaryCube18 answers · 24 citations · 11 models
17 answers · 20 citations · 10 models
vendor site · Mercer13 answers · 18 citations · 7 models
vendor site · Payscale12 answers · 23 citations · 9 models
12 answers · 15 citations · 7 models
12 answers · 12 citations · 6 models
vendor site · The Hackett Group11 answers · 28 citations · 9 models
11 answers · 18 citations · 10 models
vendor site · G211 answers · 13 citations · 6 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.
24 answers · 9 models
19 answers · 10 models
16 answers · 11 models
13 answers · 9 models
13 answers · 8 models
11 answers · 6 models
11 answers · 7 models
10 answers · 8 models
10 answers · 6 models
10 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 |
|---|---|---|---|---|---|---|---|---|
| Mercer mercer.com Mercer Total Remuneration Survey 33%, Mercer TRS 2% | 34% | 77 | 49,500 | 23,681 | 98,058 company | 18 | 4 | |
| Salary.com CompAnalyst salary.com | 9% | 148 | 260 | 3 | 1,069,118 | $1,642 | 70 | |
| WTW wtwco.com | 9% | 35 | 22,200 | 1,369 | 58,919 | 3 | 3 | |
| Aon's Radford data aon.com Aon's Radford McLagan Compensation Database 3%, Aon Radford McLagan 3%, Aon's Radford data 2% | 9% | 6 | 50 | 0 | 90,832 | 7 | ||
| Radford | 5% | 18,100 | 5,850 | |||||
| Payscale payscale.com | 5% | 209 | 9,900 | 299 | 1,408,989 | $26 | 33 | 3 |
| Willis Towers Watson | 5% | 14,800 | 398 | |||||
| Pave pave.com | 3% | 191 | 27,100 | 28,423 | 7,645 | $91 | 7 | |
| SalaryCube salarycube.com | 3% | 31 | 30 | 0 | 2,822 | 1 | 8 | |
| Korn Ferry Pay kornferry.com Korn Ferry Pay 2%, Korn Ferry Pay: Compensation Surveys 2% | 3% | 23 | 40 | 107 | 168,994 | $36 | 120 |
Google's top ten for the three searches hold 25 sites; 8 of them are among the sites the models cited here (comprehensive.io, g2.com, mercer.com, payscale.com, ravio.com, salarycube.com, thehackettgroup.com, wtwco.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 an enterprise B2B company?”Paraphrase“Which compensation survey data would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade benchmarking providers and how do they differ?”Budget-constrained“What is the best salary benchmarking data provider for a large company that needs predictable total cost across thousands of users?”Scale-constrained“We are a 5,000 person company with SSO, SOC 2 and procurement review requirements evaluating a salary benchmarking data provider. What should we look at?”Negative“Which benchmarking providers should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5Aon Radford McLagan, Mercer Total Remuneration SurveyMercer Total Remuneration SurveyChangedagainst: Bureau of Labor Statisticsno first choiceAon Radford McLagan, Mercer Total Remuneration Surveyno first choicenothing named
Six alternatives
CompAnalyst, Pave, Ravio, Salary.com CompAnalyst, WTW, beqomThree alternatives
Aon's Radford McLagan Compensation Database, Radford, Willis Towers WatsonOne alternative
Payscale MarketPayGPT-5.4 miniAon's Radford McLagan Compensation Databaseagainst: Payscale / Salary.comMercer Total Remuneration Survey, WTWChangedno first choiceSalary.com CompAnalystno first choicenothing named
Two alternatives
Mercer Total Remuneration Survey, WTWThree alternatives
Aon's Radford McLagan Compensation Database, McLagan, RadfordTwo alternatives
Mercer Total Remuneration Survey, WTWGemini 3.5 FlashAon Radfordagainst: Glassdoor, IndeedAon's Radford McLagan Compensation Database, Mercer Total Remuneration Survey, Willis Towers WatsonChangedno first choiceMercer Total Remuneration Survey, WTWagainst: Carta Total Compensation, Pave, Raviono first choiceagainst: Avasant, Capterra, Everest Group, Forrester, G2, Gartner, IDC, ISG, The Hackett Group, TrustRadius
Five alternatives
Mercer Total Remuneration Survey, Pave, Payscale, WTW, Willis Towers WatsonSeven alternatives
Alexander Group, Aon Data Solutions, Culpepper Compensation Surveys, Korn Ferry Pay, Mercer Comptryx, Mercer Executive, Payscale MarketPayTwo alternatives
Aon Radford, Salary.com CompAnalystPerplexity SonarMercer Total Remuneration Surveyagainst: WTWMercer Total Remuneration SurveyHeldno first choiceSalaryCubeno first choiceagainst: Mercer Total Remuneration Survey, Radford/Aon, WTW
Five alternatives
Pave, Payscale, Radford/Aon, Ravio, Salary.com CompAnalystFour alternatives
Mercer Benchmark Database, Radford/Aon, Salary.com CompAnalyst, WTWThree alternatives
Korn Ferry Pay, Mercer Total Remuneration Survey, RavioTwo alternatives
Mercer Total Remuneration Survey, Radford/AonGrok 4.20Mercer Total Remuneration Surveyagainst: Culpepper Compensation Surveys, Korn Ferry Pay, PayscaleMercer Benchmark Database (MBD) or Mercer Total Remuneration SurveyChangedno first choiceMercer Total Remuneration Surveyagainst: Pave, Payscale, Salary.com CompAnalystno first choiceagainst: Forrester, Gartner, IDC
Three alternatives
Radford, Salary.com CompAnalyst, WTWTwo alternatives
Korn Ferry Pay, RadfordOne alternative
RadfordMistral SmallPayscale, Salary.com CompAnalystAon (formerly Radford) Global Compensation Survey, Mercer Total Remuneration Survey, Willis Towers Watson (WTW) Global Compensation SurveyChangedMcKinsey & CompanyMercer Total Remuneration Survey, Radfordagainst: Willis Towers Watsonno first choiceagainst: LMArena
Three alternatives
Mercer, Radford, SalaryCube, Willis Towers WatsonFour alternatives
Bureau of Labor Statistics (BLS) Occupational Employment and Wage Statistics, LinkedIn Salary Insights, OpenView Partners’ SaaS Compensation Survey, PayscaleTwo alternatives
Computer Economics, DeloitteOne alternative
SalaryCubeDeepSeek V4 FlashRadfordMercer Total Remuneration SurveyChangedAPQC, Gartner Benchmark Analyticsagainst: Anaplan, Gartner Peer Insights, SAP, Workday AdaptivePave, Payscaleagainst: Korn Ferry Pay, Mercer Total Remuneration Survey, Radford, WTWno first choicenothing named
Four alternatives
Mercer Total Remuneration Survey, Payscale, Salary.com CompAnalyst, WTWFour alternatives
Korn Ferry Pay, Pave, Radford (Aon) — Radford McLagan Compensation Database, Willis Towers Watson (WTW) — Rewards Data IntelligenceSeven alternatives
AIMultiple, BCG, Bain & Company, Gartner Consulting, ISG, Info-Tech Research Group, McKinsey & CompanyLlama 4 Maverickno first choiceKorn Ferry Pay: Compensation SurveysChangedno first choiceno first choiceno first choicenothing named
Three alternatives
Pearl Meyer's Executive Compensation Survey, Robert Half's 2027 Salary Guide, Xactly Corp's 2024 Sales Compensation SurveyQwen 3.7 FlashMercer Total Remuneration Survey, Willis Towers WatsonMercer Total Remuneration Survey, WTWChangedno first choicePayscaleagainst: Mercer Total Remuneration Survey, Radfordno first choiceagainst: Figures, Pave, Ravioagainst: Glassdoor, Payscale, Salary.com CompAnalyst
Seven alternatives
Comprehensive.io, Korn Ferry Pay, Lightcast, Payscale, Radford Database, Ravio, Salary.com CompAnalystThree alternatives
Alexander Group, Aon Radford, Salaries.comOne alternative
Salary.com CompAnalystKimi K2RadfordMercer Total Remuneration Survey, Willis Towers WatsonChangedno first choiceSalary.com CompAnalystagainst: Mercer Total Remuneration Survey, Radford, Willis Towers Watsonno first choiceagainst: Bloomberg, Forrester, Gartner, IDC, MSCI, Oracle, S&P Global, SPEC, Sustainalytics, TPC
Two alternatives
Mercer Total Remuneration Survey, WTWTwo alternatives
Aon Radford, Korn Ferry PayOne alternative
PayscaleGLM 4.7 FlashXKorn Ferry PayMercer Total Remuneration SurveyChangedno first choiceOracle Compensationno first choiceagainst: Arena, FTSE Russell, Glass Lewis, MSCI, S&P, SWE-bench, UserBenchmark
Five alternatives
ERI Salary Assessor, Payscale Ascent, Radford, Salary.com CompAnalyst, Willis Towers WatsonThree alternatives
Radford (Aon) McLagan, Salary.com CompAnalyst, Willis Towers Watson (WTW) Salary SurveysFive alternatives
Apptio, Avasant, Flexera, ISG, The Hackett GroupFour alternatives
Mercer Benchmark Database, Payscale Ascent, Radford, Workday CompensationMiniMax M2.5Salary.com CompAnalyst, WTWMercury Global Compensation Survey, Radford Global Compensation SurveyChangedno first choiceMercer Total Remuneration Survey, Paveno first choiceagainst: CompAnalyst, Forrester, Gartner, IDC, Info-Tech, Payfactors, Salary.com CompAnalyst
One alternative
PayscaleFour alternatives
Aon Hewitt Total Remuneration Survey, Sales & Marketing Compensation Survey, Willis Towers Watson Data Services, WorldatWork Salary Budget SurveyOne alternative
RadfordGPT-6 LunaAon's Radford dataMercer TRS, WTWChangedMercer Total Remuneration SurveySalaryCubeno first choicenothing named
Two alternatives
Mercer TRS, WTWThree alternatives
Alexander Group, Aon's Radford data, IFDAThree alternatives
APQC, Gartner, The Hackett GroupTwo alternatives
Mercer Total Remuneration Survey, Payscale MarketPayMuse Glimmer 30BMercer Total Remuneration SurveyMercer Total Remuneration Survey, TRSChangedThe Hackett GroupSalary.com CompAnalystagainst: Payscaleno first choicenothing named
Five alternatives
Pave, Radford, Ravio, Salary.com CompAnalyst, Willis Towers WatsonThree alternatives
Korn Ferry Pay, Radford McLagan Compensation Database, Aon, Willis Towers WatsonOne alternative
Revelio LabsBold 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 11:48 | yes | 9 | 7 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 09:24 | yes | 4 | 5 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 09:19 | yes | 8 | 25 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-11-01 10:59 | yes | 10 | 4 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:17 | yes | 14 | 27 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 10:11 | yes | 5 | 6 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 11:43 | yes | 24 | 27 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 10:48 | yes | 5 | 3 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 10:27 | yes | 5 | 32 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 10:28 | yes | 15 | 31 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 12:14 | yes | 24 | 70 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 08:46 | yes | 5 | 26 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-11-01 08:41 | yes | 2 | 11 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 11:04 | yes | 13 | 20 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 11:34 | no | 0 | 5 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 10:21 | yes | 5 | 6 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 09:40 | no | 0 | 14 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-11-01 12:16 | yes | 10 | 4 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:09 | yes | 5 | 26 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 11:22 | no | 0 | 8 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 09:45 | yes | 18 | 24 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 11:54 | yes | 5 | 3 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 12:49 | yes | 5 | 22 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 09:36 | yes | 14 | 53 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 12:46 | yes | 24 | 208 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 09:44 | no | 0 | 18 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-11-01 12:03 | yes | 5 | 15 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 08:51 | yes | 13 | 19 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 10:09 | yes | 10 | 9 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 09:23 | yes | 6 | 8 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 10:44 | yes | 8 | 23 s |
| Comparative | Perplexity Sonar | sonar | 2026-11-01 09:44 | yes | 10 | 6 s |
| Comparative | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:17 | yes | 14 | 32 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 12:46 | yes | 5 | 6 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 11:03 | yes | 23 | 32 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 08:39 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 12:12 | no | 0 | 32 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 12:00 | yes | 24 | 37 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 11:04 | yes | 25 | 34 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 09:41 | yes | 19 | 90 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-11-01 08:45 | yes | 5 | 24 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 09:32 | yes | 22 | 43 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 10:05 | yes | 15 | 9 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 09:22 | yes | 2 | 8 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 09:54 | yes | 11 | 24 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-11-01 12:35 | yes | 10 | 3 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:03 | yes | 14 | 42 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 12:46 | yes | 5 | 10 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 10:28 | yes | 25 | 22 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 09:01 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 12:11 | yes | 5 | 28 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 10:22 | yes | 25 | 32 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 12:33 | yes | 21 | 90 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 12:10 | yes | 5 | 22 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 12:22 | yes | 2 | 22 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 12:11 | yes | 22 | 31 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 10:20 | yes | 13 | 12 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 09:52 | no | 0 | 8 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 10:46 | no | 0 | 17 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-11-01 12:47 | yes | 10 | 11 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:12 | yes | 15 | 34 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 11:20 | no | 0 | 7 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 09:05 | yes | 24 | 43 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 10:18 | yes | 5 | 4 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 10:06 | yes | 19 | 45 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 09:40 | yes | 25 | 31 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 09:31 | yes | 23 | 37 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 10:16 | no | 0 | 19 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 09:42 | yes | 6 | 23 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 10:42 | yes | 14 | 26 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 12:26 | yes | 19 | 9 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 12:30 | yes | 4 | 6 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 10:17 | no | 0 | 17 s |
| Negative framing | Perplexity Sonar | sonar | 2026-11-01 10:53 | yes | 10 | 5 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:07 | yes | 5 | 24 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 10:24 | yes | 5 | 5 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 11:40 | yes | 24 | 12 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 08:55 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 09:38 | yes | 5 | 46 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 10:35 | yes | 25 | 46 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 09:15 | yes | 24 | 47 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 10:00 | yes | 25 | 83 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-11-01 12:56 | no | 0 | 3 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 09:23 | yes | 18 | 30 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
Aon (Radford Global Compensation Database) 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
Korn Ferry read as Korn Ferry Pay
Korn Ferry (Hay Group Data) read as Korn Ferry Pay
Mercer read as Mercer Total Remuneration Survey
Mercer (Mercer Benchmark Database - MBD) read as Mercer Total Remuneration Survey
Mercer (including Radford) read as Mercer Total Remuneration Survey
Mercer (part of Marsh McLennan) 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) read as Salary.com CompAnalyst
Salary.com (Compdata & IPAS) read as Salary.com CompAnalyst
Salary.com (Compdata) read as Salary.com CompAnalyst
Salary.com's CompAnalyst read as Salary.com CompAnalyst
Unresolved, counted raw
AIMultiple (Benchmarking Lab)
Aon (formerly Radford) Global Compensation Survey
Aon Data Solutions
Aon Hewitt Total Remuneration Survey
Bloomberg
CRG (Canada)
Capterra
CompTIA
CompanyEnrich
Compensation Builder
ECA International (APAC)
ERI Salary Assessor
FTSE Russell
Flexera
Forrester Research
Frederic W. Cook
Gartner Benchmark Analytics
Gartner Consulting (Advisory)
Gartner Peer Insights
Glass Lewis
Glassdoor Salary Data
IBERIFI
IBM Apptio Benchmarking
Info-Tech
Info-Tech / SoftwareReviews
Info-Tech Research Group
LMArena
Lytica PaySpectra
MarketPricer
McLagan
Mercer Benchmark Database (MBD) or Mercer Total Remuneration Survey (TRS)
Mercer CompXl
Mercer Comptryx
Mercer Executive
Mercer Total Remuneration Survey, TRS
Mercer's WIN
Mercer, Radford (Aon)
Mercury Global
Mercury Global Compensation Survey
Nexos.ai
OpenView Partners’ SaaS Compensation Survey
Pearl Meyer's Executive Compensation Survey
Profound
Radford (Aon) McLagan
Radford (Aon) — Radford McLagan Compensation Database
Radford Database
Radford Global Compensation Survey
Radford McLagan Compensation Database, Aon
Robert Half's 2027 Salary Guide
S&P
S&P Global
SHRM Annual Compensation Survey
SIA
Salaries.com (CompAnalyst)
Sales & Marketing Compensation Survey
Sustainalytics
Tableau Software
ThoughtWorks Technology Radar
TrustRadius
VendorBenchmark
Willis Towers Watson (WTW) Global Compensation Survey
Willis Towers Watson (WTW) Salary Surveys
Willis Towers Watson (WTW) — Rewards Data Intelligence
Workday Adaptive
Discontinued, still offered
No shut-down product was recommended here.