Index › HR › Compensation and total rewards › Compensation benchmarkin › Enterprise · September 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. 61 first choices recorded across the direct, paraphrase, budget and scale prompts, twelve models each.
Standing · first-choice share
30%
Contested · Radford 16%
30Mercer Total Remuneration Survey16Radford11Willis Towers Watson43others
30% of first choices, contested.
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.
The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all twelve models, for an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrant
Show the three products at 0%, ordered by negative rate
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 enterprise.
All fifteen head-to-head pages: the top six products, each against each
Payscale vs RadfordPayscale vs Salary.com CompAnalystPave vs Comprehensive.ioPave vs Mercer Total Remuneration SurveyPave vs RadfordPave vs Salary.com CompAnalystComprehensive.io vs Mercer Total Remuneration SurveyComprehensive.io vs RadfordComprehensive.io vs Salary.com CompAnalystMercer Total Remuneration Survey vs RadfordMercer Total Remuneration Survey vs Salary.com CompAnalystRadford vs Salary.com CompAnalyst
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 →
01R02
W03
04
05
06
07
08
09
10
11Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01Mercer Total Remuneration Survey30%
Mercer Total Remuneration Survey30%02Radford16%
03Willis Towers Watson11%
04Pave8%
Pave8%05Korn Ferry Pay5%
Korn Ferry Pay5%06Salary.com CompAnalyst5%
Salary.com CompAnalyst5%07Payscale3%
Payscale3%08Ravio2%
Ravio2%09Deloitte0%
Deloitte0%10Gartner0%
Gartner0%11Bain & Company0%
Bain & Company0%What they warned about
Zero of twelve 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 and MiniMax M2.5 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 Survey14%
5 of 37 labels negative · 5 of 12 models · 2 hard negative
“Why you should avoid traditional providers (Mercer, Radford, Willis Towers Watson)” GLM 4.7 FlashX, budget prompt
Payscale24%
5 of 21 labels negative · 4 of 12 models · 2 hard negative
“Payscale (for high-complexity executive roles). Why to avoid: These platforms often suffer from "self-selection bias."” Qwen 3.7 Flash, negative prompt
Radford
12%
3 of 24 labels negative · 3 of 12 models · 2 hard negative
“Providers to Avoid for "Predictable Total Cost" ... Custom pricing $15K–$80K+; participation requirements” Kimi K2, budget prompt
Willis Towers Watson
14%
3 of 22 labels negative · 3 of 12 models · 2 hard negative
“Why you should avoid traditional providers (Mercer, Radford, Willis Towers Watson)” GLM 4.7 FlashX, budget prompt
What they cite
Twelve of the twelve models returned a source list in this edition: four return the pages they cited and eight the search results they consulted.
Sites the answers cite
61 of 72 answers in this category came back with a source list, from 12 of 12 models: citations where the model returns them, or the search results it consulted. 982 links across 315 sites, every framing counted. Ranked by the number of answers carrying the site or page.
vendor site · Ravio43 answers · 122 citations · 12 models
29 answers · 60 citations · 10 models
26 answers · 34 citations · 9 models
vendor site · SalaryCube23 answers · 41 citations · 11 models
19 answers · 31 citations · 9 models
vendor site · Comprehensive18 answers · 20 citations · 10 models
vendor site · CaptivateIQ14 answers · 16 citations · 8 models
vendor site · Payscale14 answers · 15 citations · 8 models
vendor site · Ficstar14 answers · 14 citations · 9 models
13 answers · 14 citations · 7 models
vendor site · Salary.com12 answers · 17 citations · 8 models
11 answers · 16 citations · 7 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.
32 answers · 11 models
22 answers · 10 models
17 answers · 9 models
16 answers · 10 models
15 answers · 9 models
14 answers · 8 models
14 answers · 9 models
12 answers · 7 models
11 answers · 7 models
10 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 |
|---|---|---|---|---|---|---|---|---|
| Mercer mercer.com Mercer Total Remuneration Survey 30%, Mercer Benchmark Database 2% | 31% | 77 | 49,500 | 23,681 | 98,058 company | 18 | 4 | |
| Radford | 16% | 18,100 | 5,850 | |||||
| Willis Towers Watson | 11% | 14,800 | 398 | |||||
| Pave pave.com | 8% | 191 | 27,100 | 28,423 | 7,645 | $91 | 7 | |
| Korn Ferry Pay kornferry.com | 5% | 23 | 40 | 107 | 168,994 | $36 | 120 | |
| Salary.com CompAnalyst salary.com | 5% | 148 | 260 | 3 | 1,069,118 | $1,642 | 70 | |
| Payscale payscale.com | 3% | 209 | 9,900 | 299 | 1,408,989 | $26 | 33 | 3 |
| Aon's Radford McLagan Compensation Database aon.com | 3% | 6 | 50 | 0 | 90,832 | 7 | ||
| Ravio ravio.com | 2% | 119 | 1,900 | 181 | 8,419 | 1 | ||
| WTW wtwco.com | 2% | 35 | 22,200 | 1,369 | 58,919 | 3 | 3 |
Google's top ten for the three searches hold 25 sites; 5 of them are among the sites the models cited here (captivateiq.com, comprehensive.io, payscale.com, ravio.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 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 4.5Mercer Total Remuneration Survey, RadfordMercer Total Remuneration Survey, Radford, Willis Towers WatsonChangedno first choicePayscaleagainst: Mercer Total Remuneration Surveyno first choicenothing named
Seven alternatives
Culpepper Compensation Surveys, Korn Ferry Pay, Pave, Payscale, Ravio, Salary.com CompAnalyst, Willis Towers WatsonOne alternative
PaveTwo alternatives
Salary.com CompAnalyst, Willis Towers WatsonGPT-5.4 miniAon's Radford McLagan Compensation DatabaseMercer Total Remuneration Survey, WTWChangedGartnerMercer’s TRS / TAAP+no first choicenothing named
Three alternatives
Mercer Total Remuneration Survey, Payscale, Salary.com CompAnalystThree alternatives
Aon Radford, Korn Ferry Pay, SHRM benefits dataTwo alternatives
Forrester, Gartner Peer InsightsOne alternative
Aon RadfordGemini 3.5 FlashPave, RadfordAon's Radford McLagan Compensation Database, Mercer Benchmark Database, Willis Towers WatsonChangedno first choicePaveagainst: Aon Radford, WTWno first choiceagainst: Figures, Pave, eqtbleagainst: Korn Ferry Pay, Mercer Total Remuneration Survey, Radford
Three alternatives
Mercer Total Remuneration Survey, Payscale MarketPay, WTWThree alternatives
Payscale, Salary.com CompAnalyst, The Alexander GroupTwo alternatives
Compa, Salary.com CompAnalystTwo alternatives
Mercer Total Remuneration Survey, Radford/AonPerplexity SonarMercer Total Remuneration SurveyMercer Total Remuneration Survey, WTW (Willis Towers Watson) Rewards Data IntelligenceChangedDeloitteagainst: Computer EconomicsMercer Total Remuneration Surveyno first choicenothing named
Two alternatives
Pave, RavioTwo alternatives
Korn Ferry Pay, RadfordEight alternatives
BCG, Bain & Company, Gartner, Guidehouse, KPMG, Kearney, PwC, The Hackett GroupTwo alternatives
Comprehensive.io, RavioGrok 4.20Radfordagainst: Glassdoor, Pave, RavioMercer Total Remuneration SurveyChangedagainst: Payscale, Salary.com CompAnalystDeloitteRadfordagainst: Lattice, Pave, Payscale, Ravio, Salary.com CompAnalystPayscale, Salary.com CompAnalystagainst: Bain & Company, Delve, Forrester, Gartner, Meta's Llama AI benchmarks, Oracle, PwC, The Hackett Group
Four alternatives
Korn Ferry Pay, Mercer Total Remuneration Survey, Salary.com CompAnalyst, Willis Towers WatsonFour alternatives
Korn Ferry Pay, Radford, Willis Towers Watson, WorldatWork Salary Budget SurveyTwelve alternatives
APQC, BCG, Bain & Company, Computer Economics, EY, Forrester, Gartner, IDC, ISG, KPMG, McKinsey & Company, PwCTwo alternatives
Mercer Total Remuneration Survey, Willis Towers WatsonTwo alternatives
Mercer Total Remuneration Survey, Radford/AonMistral SmallMercer Total Remuneration SurveyAon (formerly Radford) Global Compensation Survey, Mercer Total Remuneration Survey, Willis Towers Watson (WTW) Global Compensation SurveyChangedagainst: PayscaleDeloitteagainst: McKinsey & CompanyKorn Ferry Pay, Mercer Total Remuneration Survey, Radford, Willis Towers Watsonno first choiceagainst: BAPCo, Chatbot Arena
Two alternatives
Aon's Radford McLagan Compensation Database, DeloitteThree alternatives
Culpepper Compensation Surveys, ECA International, Radford (now Aon) Sales Compensation SurveySix alternatives
Accenture, Bain & Company, Boston Consulting Group, EY, KPMG, PwCTwo alternatives
Payscale, SalaryCubeDeepSeek V4 FlashRadfordMercer Total Remuneration Survey, RadfordChangedagainst: BLS OEWS, Payscale / Salary.comSalary.com CompAnalystMercer Total Remuneration Surveyagainst: Lattice Compensate, OpenComp, Pave, Payscale MarketPay, Raviono first choiceagainst: Forrester, Gartner, Oracle
Five alternatives
Carta Total Compensation, Korn Ferry Pay, Mercer Total Remuneration Survey, Pave, Willis Towers WatsonThree alternatives
Culpepper Compensation Surveys, Korn Ferry Pay, Willis Towers WatsonOne alternative
Revelio LabsThree alternatives
Korn Ferry Pay, Radford, Willis Towers WatsonLlama 4 MaverickMercer Total Remuneration SurveyKorn Ferry Pay, Mercer Total Remuneration Survey, RavioChangedDeloitte Consultingno first choiceno first choicenothing named
Four alternatives
Ficstar, PayScale Insight, Radford, Salary.com CompAnalystThree alternatives
Boston Consulting Group, KPMG Advisory, PwC AdvisoryQwen 3.7 FlashRadfordMercer Total Remuneration Survey, Willis Towers WatsonChangedno first choiceOptionHR, Salary.com CompAnalystagainst: Glassdoor, Indeedno first choiceagainst: Aon's Radford McLagan Compensation Database, Glassdoor, Hays, Indeed, Mercer Total Remuneration Survey, Michael Page, Payscale, Robert Half Salary Guide, Willis Towers Watson
Three alternatives
Korn Ferry Pay, Mercer Total Remuneration Survey, Willis Towers WatsonTwo alternatives
Aon's Radford McLagan Compensation Database, PayscaleFour alternatives
Aon's Radford McLagan Compensation Database, Mercer Total Remuneration Survey, Payscale, Willis Towers WatsonKimi K2RadfordMercer Total Remuneration Survey, Willis Towers WatsonChangedGartnerPave, Salary.com CompAnalystagainst: Levels.fyi, Mercer Total Remuneration Survey, Payscale, Radford, Willis Towers Watsonno first choiceagainst: Benchmark / benchmark.co.com, Benchmark Consulting Group LLC, Forrester, Gartner, IDC, MarketResearch.com, MarketsandMarkets, ResearchandMarkets.com, Transparency Market Research
Two alternatives
Mercer Total Remuneration Survey, WTWTwo alternatives
Korn Ferry Pay, RadfordFour alternatives
APQC, Computer Economics, KPMG, The Hackett GroupTwo alternatives
Compa, FiguresGLM 4.7 FlashXMercer – Global Total Remuneration SurveyMercer Total Remuneration Survey, Willis Towers WatsonChangedno first choicePaveagainst: Mercer Total Remuneration Survey, Radford, Willis Towers Watsonno first choiceagainst: BCG, Bain & Company, Deloitte, EY, KPMG, PwC
Five alternatives
Pave, Radford, Ravio, Salary.com CompAnalyst, Willis Towers WatsonOne alternative
FicstarOne alternative
OpenCompMiniMax M2.5Korn Ferry Pay, Mercer Total Remuneration Survey, Willis Towers WatsonMercer Global Compensation Database, Willis Towers Watson (WTW) "General Industry Compensation Survey"ChangedDeloitte ConsultingPaveno first choiceagainst: Agri Stats, Optimal Blue, STR
Three alternatives
Payscale, Radford, RavioThree alternatives
Korn Ferry Global Executive Compensation Survey, Option Impact Equity Benchmarking, Radford Global Technology SurveySix alternatives
Bain & Company, Boston Consulting Group, EY Advisory, KPMG Advisory, McKinsey & Company, PwC AdvisoryTwo alternatives
Mercer Total Remuneration Survey, RadfordBold 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.
Seventy-two 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 | 2026-09-17 18:27 | yes | 9 | 7 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 18:12 | yes | 4 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 20:05 | yes | 15 | 26 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-09-17 18:56 | yes | 20 | 6 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 19:42 | yes | 29 | 18 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 21:06 | yes | 9 | 6 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 19:24 | yes | 17 | 20 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 20:55 | yes | 5 | 3 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 19:53 | no | 0 | 28 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 21:36 | yes | 15 | 39 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 21:04 | yes | 24 | 36 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 20:18 | yes | 9 | 40 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 19:34 | yes | 13 | 10 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 18:54 | yes | 4 | 7 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 18:22 | yes | 11 | 25 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-09-17 19:50 | yes | 20 | 8 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 18:26 | yes | 17 | 12 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 21:13 | no | 0 | 7 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 21:15 | yes | 12 | 24 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 18:43 | yes | 5 | 3 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 19:37 | yes | 5 | 25 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 19:08 | yes | 11 | 24 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 19:00 | yes | 10 | 21 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 21:24 | no | 0 | 66 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 19:01 | yes | 9 | 7 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 21:19 | yes | 5 | 8 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 19:34 | yes | 25 | 24 s |
| Comparative | Perplexity Sonar | sonar | 2026-09-17 20:14 | yes | 20 | 9 s |
| Comparative | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 21:22 | yes | 33 | 21 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 21:30 | yes | 5 | 6 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 18:40 | yes | 30 | 54 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 19:30 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 18:58 | no | 0 | 29 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 18:45 | yes | 15 | 27 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 21:25 | yes | 17 | 48 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 18:09 | yes | 7 | 29 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 20:19 | yes | 16 | 9 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 18:10 | yes | 3 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 18:05 | yes | 15 | 65 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-09-17 18:39 | yes | 20 | 8 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 21:16 | yes | 30 | 24 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 21:40 | yes | 11 | 10 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 18:55 | yes | 27 | 25 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 18:00 | yes | 5 | 3 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 19:18 | no | 0 | 34 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 19:57 | yes | 28 | 39 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 19:53 | yes | 31 | 266 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 19:11 | yes | 19 | 60 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 20:57 | yes | 18 | 14 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 19:08 | no | 0 | 12 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 18:20 | no | 0 | 17 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-09-17 19:36 | yes | 20 | 11 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 19:49 | yes | 20 | 14 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 20:48 | no | 0 | 8 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-09-17 18:14 | yes | 27 | 62 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 20:27 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 20:39 | yes | 5 | 31 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 21:13 | yes | 25 | 38 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 19:44 | yes | 15 | 51 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 19:48 | no | 0 | 11 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 20:13 | yes | 18 | 11 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 18:12 | no | 0 | 6 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 22:00 | yes | 28 | 57 s |
| Negative framing | Perplexity Sonar | sonar | 2026-09-17 19:59 | yes | 20 | 6 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 19:13 | yes | 19 | 14 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 20:00 | yes | 15 | 11 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 21:21 | yes | 29 | 34 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 19:45 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 20:17 | no | 0 | 33 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 18:13 | yes | 24 | 43 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 20:09 | yes | 27 | 135 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 20:08 | yes | 22 | 80 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
ShowHide
Category-scoped readings
Aon read as Aon's Radford McLagan Compensation Database
Aon (Radford & Hay Group) read as Aon's Radford McLagan Compensation Database
Aon (Radford) read as Aon's Radford McLagan Compensation Database
Bain read as Bain & Company
Carta Total Comp read as Carta Total Compensation
Culpepper read as Culpepper Compensation Surveys
Culpepper (now part of Aon) read as Culpepper Compensation Surveys
Korn Ferry read as Korn Ferry Pay
Korn Ferry (Hay Group) read as Korn Ferry Pay
McKinsey read as McKinsey & Company
Mercer read as Mercer Total Remuneration Survey
Mercer (Global Compensation Survey - GCS) read as Mercer Total Remuneration Survey
Robert Half read as Robert Half Salary Guide
Salary.com read as Salary.com CompAnalyst
Salary.com (CompAnalyst) read as Salary.com CompAnalyst
Salary.com (SalaryIQ with CompXL) read as Salary.com CompAnalyst
Unresolved, counted raw
A.T. Kearney
ALM Intelligence
APEC (Association of Professional Executives of Canada) Compensation Survey
Agri Stats
Aon (formerly Radford) Global Compensation Survey
BAPCo
Benchmark Consulting Group LLC
Chatbot Arena
Compensa
Compup.io
Custom Survey Professionals
Digimind
ECA International
Empsight
GK
Gartner Peer Insights
Hired\u2019s Salary Calculator
IBM Consulting
Kennedy Consulting Research
Kompyte
Korn Ferry Global Executive Compensation Survey
MarketsandMarkets
Mercer Global Compensation Database
Mercer – Global Total Remuneration Survey (TRS)
Mercer’s TRS / TAAP+
Meta's Llama AI benchmarks
Omdia
Optimal Blue
Option Impact Equity Benchmarking
OptionHR
Radford (now Aon) Sales Compensation Survey
Radford Global Technology Survey
SHRM benefits data
STR (Smith Travel Research)
TSIA
The Alexander Group
WTW (Willis Towers Watson) Rewards Data Intelligence
Willis Towers Watson (WTW) "General Industry Compensation Survey"
Willis Towers Watson (WTW) Global Compensation Survey
Discontinued, still offered
No shut-down product was recommended here.