Index › Compensation and total rewards › Compensation benchmarkin › Small business › October 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. 60 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
30%
Contested · Payscale 12%
30Pave12Payscale08Comprehensive.io50others
30% of first choices, contested.
Since September 2026▼−2Since September 2026: 32% → 30%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Pave held the lead, −2 points on 32%, 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
Pave30%Contested▼−2Since September 2026: 32% → 30%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.This pageMid-marketPave19%Contested▼−2Since September 2026: 24% → 22%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →Enterprise
Mercer Total Remuneration Survey44%Clear leader▲+14Since September 2026: 30% → 44%, +14 points. Past the 13-point floor: movement. Read over the models both editions asked.Standing →
Pave30%Contested▼−2Since September 2026: 32% → 30%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.This pageMid-marketPave19%Contested▼−2Since September 2026: 24% → 22%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →EnterpriseMercer Total Remuneration Survey44%Clear leader▲+14Since September 2026: 30% → 44%, +14 points. Past the 13-point floor: movement. Read over the models both editions asked.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 September 2026
01Pave30%0%34endorsed leader▼−2Since September 2026: 32% → 30%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.32% → 30%
Pave30%0%34endorsed leader▼−2Since September 2026: 32% → 30%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.32% → 30%02
Payscale12%24%38accepted challenger▲+9Since September 2026: 4% → 13%, +9 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 13%
Payscale12%24%38accepted challenger▲+9Since September 2026: 4% → 13%, +9 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 13%03
Comprehensive.io8%0%21accepted challenger▲+5Since September 2026: 2% → 8%, +5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 8%
Comprehensive.io8%0%21accepted challenger▲+5Since September 2026: 2% → 8%, +5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 8%04
Salary.com CompAnalyst7%3%32accepted challenger▼−1Since September 2026: 9% → 8%, −1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.9% → 8%
Salary.com CompAnalyst7%3%32accepted challenger▼−1Since September 2026: 9% → 8%, −1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.9% → 8%05
Ravio2%4%23accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 2%
Ravio2%4%23accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 2%06Mercer Total Remuneration Survey2%83%30criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%
Mercer Total Remuneration Survey2%83%30criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%Show the three products at 0%, ordered by negative rate
08Willis Towers Watson0%100%10criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
09Radford0%81%26criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
07
Glassdoor0%45%11criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
Glassdoor0%45%11criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.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 is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. 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
Pave vs RavioPave vs Comprehensive.ioPave vs RadfordPave vs Mercer Total Remuneration SurveyPayscale vs SalaryCubePayscale vs Salary.com CompAnalystPayscale vs RavioPayscale vs Comprehensive.ioPayscale vs RadfordPayscale vs Mercer Total Remuneration SurveySalaryCube vs Salary.com CompAnalystSalaryCube vs RavioSalaryCube vs Comprehensive.ioSalaryCube vs RadfordSalaryCube vs Mercer Total Remuneration SurveySalary.com CompAnalyst vs RavioSalary.com CompAnalyst vs Comprehensive.ioSalary.com CompAnalyst vs RadfordSalary.com CompAnalyst vs Mercer Total Remuneration SurveyRavio vs Comprehensive.ioRavio vs RadfordRavio vs Mercer Total Remuneration SurveyComprehensive.io vs RadfordComprehensive.io vs Mercer Total Remuneration SurveyRadford vs Mercer Total Remuneration Survey
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 →
01020304050607W08
R09
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01Pave30%
Pave30%02Payscale12%
Payscale12%03Comprehensive.io8%
Comprehensive.io8%04Salary.com CompAnalyst7%
Salary.com CompAnalyst7%05Ravio2%
Ravio2%06Mercer Total Remuneration Survey2%
Mercer Total Remuneration Survey2%07Glassdoor0%
Glassdoor0%08Willis Towers Watson0%
09Radford0%
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 4.1 Fast, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, 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.
Mercer Total Remuneration Survey83%
25 of 30 labels negative · 12 of 14 models · 10 hard negative
“Providers to **avoid or use carefully** include: - **Mercer, Willis Towers Watson (WTW), and Radford** when the budget is tight, since SMB-oriented guidance explicitly says to skip these "heavyweights"” Perplexity Sonar, negative prompt
Radford
81%
21 of 26 labels negative · 12 of 14 models · 9 hard negative
“explicitly advise skipping these providers unless you have a significant budget and need deep integration capabilities” Mistral Small, negative prompt
Willis Towers Watson
100%
10 of 10 labels negative · 9 of 14 models · 7 hard negative
“explicitly says to skip these "heavyweights" unless you have room for enterprise-level spend and integration costs” Perplexity Sonar, negative prompt
Payscale24%
9 of 38 labels negative · 7 of 14 models · 2 hard negative
“"Avoid: Large annual subscriptions from providers like PayScale (~$13,888+/year median for SMBs)"” Muse Glimmer 30B, negative prompt
What they cite
Citations exist only for the models that return a source list: fourteen of the fourteen in this edition, and all six flagship models on the expanded tier.
Sites the answers cite
76 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. 1054 links across 295 sites, every framing counted. Ranked by the number of answers carrying the site or page. 28 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 · Ravio44 answers · 110 citations · 13 models
vendor site · Pin33 answers · 33 citations · 13 models
vendor site · Comprehensive28 answers · 36 citations · 10 models
25 answers · 26 citations · 10 models
19 answers · 47 citations · 10 models
vendor site · G219 answers · 20 citations · 10 models
17 answers · 18 citations · 7 models
16 answers · 19 citations · 9 models
16 answers · 16 citations · 9 models
vendor site · Salary.com15 answers · 24 citations · 10 models
15 answers · 22 citations · 8 models
vendor site · CaptivateIQ15 answers · 17 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.
39 answers · 12 models
33 answers · 13 models
23 answers · 10 models
21 answers · 9 models
15 answers · 7 models
13 answers · 5 models
13 answers · 9 models
13 answers · 9 models
13 answers · 8 models
12 answers · 9 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 30%, Pave Market Data Lite 5%, Pave — Market Data Lite 2% | 37% | 213 | 27,100 | 28,423 | 7,645 | $91 | 7 | |
| Payscale payscale.com Payscale 12%, Payscale Ascent 2% | 13% | 229 | 9,900 | 299 | 1,408,989 | $26 | 33 | 3 |
| Comprehensive.io comprehensive.io | 8% | 55 | 50 | 0 | 2,021 | 3 | ||
| Salary.com CompAnalyst salary.com | 7% | 90 | 260 | 3 | 1,069,118 | $1,642 | 70 | |
| Bureau of Labor Statistics | 3% | 110,000 | 393 | |||||
| OpenComp opencomp.com | 3% | 49 | 390 | 0 | 5,524 | 51 | ||
| Ravio ravio.com | 2% | 165 | 1,900 | 181 | 8,419 | 1 | ||
| SalaryCube salarycube.com | 2% | 37 | 30 | 0 | 2,822 | 1 | 8 | |
| BLS bls.gov | 2% | 11 | 110,000 | 83,944 | 20,934,537 | |||
| BLS OEWS | 2% |
Google's top ten for the three searches hold 25 sites; 4 of them are among the sites the models cited here (captivateiq.com, comprehensive.io, g2.com, ravio.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 4.5Salary.com CompAnalystBureau of Labor Statistics, IndeedChangedPayscalePaveno first choicenothing named
Two alternatives
Brightmine, PayscaleTwo alternatives
Economic Research Institute, PayscaleOne alternative
CompeaseFive alternatives
BambooHR, Brightmine, Comprehensive.io, Payfactors, Salary.com CompAnalystGPT-5.4 miniPayscaleMercer Total Remuneration Survey, SHRM Compensation Data CenterChangedCarta Total Compensation, Paveagainst: Mercer Total Remuneration SurveyBLS Occupational Employment dataagainst: Korn Ferry Pay, Mercer Total Remuneration Survey, Radford, WTWno first choiceagainst: Quartile, UserBenchmark, VINSeeker
Two alternatives
Salary.com CompAnalyst, SalaryCubeThree alternatives
Payscale, Radford, Salary.com CompAnalystThree alternatives
Pave, Payscale, Salary.com CompAnalystGemini 3.5 FlashPaveagainst: Mercer Total Remuneration Survey, Radford, WTWPave, The Bridge GroupChangedagainst: Mercer Total Remuneration Survey, RadfordComprehensive.io, Paveagainst: Mercer Total Remuneration Survey, RadfordOpenComp, Paveagainst: Mercer Total Remuneration Survey, Payscale, RadfordPaveagainst: Glassdoor, Mercer Total Remuneration Survey, Radfordagainst: Aon Radford, Forrester, Gartner, Glassdoor, IBISWorld, Indeed, Mercer Total Remuneration Survey, Payscale, Statista, Willis Towers Watson
Four alternatives
Carta Total Compensation, Comprehensive.io, Figures, RavioFive alternatives
Betts Recruiting Salary Guide, OpenComp, Payscale, RepVue, Robert Half Salary GuideThree alternatives
Carta Total Compensation, OpenComp, RavioFive alternatives
Comprehensive.io, Levels.fyi, Ravio, Robert Half Salary Guide, US Bureau of Labor Statistics (BLS) & O*NETFive alternatives
Carta Total Compensation, Comprehensive.io, Figures, Levels.fyi, RavioPerplexity SonarPaveMercer's Remuneration Survey for SMEsChangedno first choiceBLSno first choiceagainst: Mercer Total Remuneration Survey, Payscale, Radford, Willis Towers Watson
Three alternatives
Payscale, Ravio, Salary.com CompAnalystFour alternatives
BLS salary data, Culpepper Global Compensation Surveys, MRA surveys, Salary.com Compdata SurveysFive alternatives
APQC, BLS, Comprehensive.io, Deloitte, PaveThree alternatives
Comprehensive.io, Croner Reward / SalarySearch, Salary.com CompAnalystGrok 4.1 FastPaveCompData Surveys, Salary.com CompAnalystChangedagainst: Korn Ferry Pay, Mercer Total Remuneration SurveyDataboxBureau of Labor Statistics (BLS) Occupational Employment and Wage StatisticsPayscaleagainst: Bench Accounting, Benchmark My Plan LLC, Hackett, Mercer Total Remuneration Survey, RSM, Radford, UserBenchmark, Willis Towers Watson
Two alternatives
Ravio, SalaryCubeThree alternatives
Culpepper Compensation Surveys, Payscale, RadfordFive alternatives
Crayon, Fathom, Jirav, LivePlan, SimilarwebThree alternatives
Comprehensive.io, Pave, RavioFour alternatives
Deel, Pave, Ravio, Salary.com CompAnalystMistral SmallPavePayscaleChangedPlanGuruPaveno first choiceagainst: Mercer Total Remuneration Survey, Payscale, Radford, Willis Towers Watson
One alternative
Salary.com CompAnalystFour alternatives
Compensation Force, Glassdoor, OpenView Partners’ SaaS Compensation Survey, Salary.com CompAnalystSix alternatives
Crayon, G2, Gartner Peer Insights, Jirav, LivePlan, PassMark PerformanceTestTwo alternatives
BLS OEWS, Comprehensive.ioDeepSeek V4 FlashComprehensive.io, Paveagainst: BLS Occupational Employment StatisticsPave — Market Data LiteChangedagainst: Economic Research Institute (ERI) — Salary Assessor, Mercer Total Remuneration Survey, Radford, WTWno first choiceComprehensive.io, Paveagainst: Payscaleno first choiceagainst: Glassdoor, Mercer Total Remuneration Survey, Radfordnothing named
Two alternatives
Ravio, Salary.com CompAnalystTwo alternatives
CompTool's Survey Marketplace, Salary.com — CompAnalystThree alternatives
BLS OES, Ravio, Salary.com CompAnalystFour alternatives
Comprehensive.io, Pave, Ravio, SalaryCubeLlama 4 MaverickSalary.com CompAnalystno first choiceChangedPlanGuruPinSalaryCubeagainst: Mercer Total Remuneration Survey, Payscale, Radford, Willis Towers Watson
Three alternatives
Jirav, LivePlan, PassMark PerformanceTestOne alternative
Korn Ferry PayQwen 3.7 FlashPayscaleagainst: Glassdoor, Radford/MercerPayscaleHeldagainst: Mercer Total Remuneration Survey, WTWno first choicePaveagainst: Mercer Total Remuneration Survey, Radfordno first choiceagainst: Glassdoor, Mercer Total Remuneration Survey, Payscale, Radford, Willis Towers Watson
Two alternatives
Equitable, FountFour alternatives
Bureau of Labor Statistics, CrunchData, O.C. Tanner, PaveOne alternative
BLS OEWSKimi K2OpenComp, Pave, Salary.com CompAnalystagainst: Korn Ferry Pay, Mercer Total Remuneration Survey, RadfordPayscaleChangedagainst: Korn Ferry Pay, Mercer Total Remuneration Survey, Radford, Willis Towers Watsonno first choiceComprehensive.io, PavePaveagainst: Mercer Total Remuneration Survey, Radford, Willis Towers Watsonagainst: Apollo.io, Cognism, Dun & Bradstreet/Hoovers, IBISWorld, Sageworks, ZoomInfo
Three alternatives
Bureau of Labor Statistics, Levels.fyi, PayscaleTwo alternatives
Salary.com CompAnalyst, U.S. Bureau of Labor StatisticsFour alternatives
BLS Occupational Employment Statistics, Figures, Ravio, SalaryExpertFour alternatives
Comprehensive.io, Comptool, Ravio, SalaryCubeGLM 4.7 FlashXPaveagainst: Levels.fyiRevenue BenchChangedDataboxBLS OEWS, Comprehensive.io, Pave Market Data Liteagainst: Mercer Total Remuneration Survey, Radford, Ravio, Salary.com CompAnalystno first choicenothing named
Two alternatives
Payscale, Salary.com CompAnalystFive alternatives
Alexander Group 2024 Sales Compensation Trends Survey, Bridge Group "SDR Models, Motions & Metrics", Culpepper "Small Business Compensation Survey", Mercer Total Remuneration Survey, Xactly 2024 Sales Compensation SurveyFive alternatives
Crayon, DeepEval, Humanloop, Similarweb, TruLensThree alternatives
Deel, Payscale Ascent, SalaryExpertMiniMax M2.5Payscale Ascent, RavioCulpepper Compensation Surveys, PayscaleChangedagainst: Robert Halfno first choiceBureau of Labor Statisticsno first choiceagainst: Hewitt, Korn Ferry Pay, Mercer Total Remuneration Survey, Radfordagainst: Mercer Total Remuneration Survey, Radford, Willis Towers Watson
Two alternatives
PayLab, Salary.com CompAnalystThree alternatives
CompAnalyst, MRA, Salary.com CompAnalystThree alternatives
BrightHR, Comprehensive.io, PaveGPT-6 LunaPave Market Data LiteSHRM's Compensation Data Center, powered by Salary.comChangedCarta Total Compensation, Paveagainst: Mercer or RadfordPave Market Data Liteno first choicenothing named
Two alternatives
Carta Total Compensation, PayscaleThree alternatives
BLS, Payscale, Salary.com CompAnalystThree alternatives
Payscale, Ravio, Salary.com CompAnalystTwo alternatives
Bureau of Labor Statistics’ wage data, Salary.com CompAnalystOne alternative
BLSMuse Glimmer 30BBureau of Labor Statistics Occupational Employment and Wage Statistics, OEWSagainst: PayscalePaveChangedFreeAgent Performance Benchmarking, Similarwebagainst: APQC, DeloitteComprehensive.io, Paveno first choiceagainst: Mercer Total Remuneration Survey, Payscale, Radford, Willis Towers Watson
Six alternatives
CompAnalyst, Comprehensive.io, Pave, Ravio, Salary.com CompAnalyst, Salary.com Salary WizardOne alternative
Bureau of Labor StatisticsThree alternatives
Databox, Fathom, PassMark PerformanceTestFour alternatives
BLS OEWS, Glassdoor, Indeed, SalaryExpertTwo 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. Full answer text is in the free responses file. Download the record
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 | 2026-10-01 11:40 | yes | 9 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:37 | yes | 3 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:19 | yes | 12 | 18 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 09:03 | yes | 18 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:59 | yes | 16 | 9 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:46 | yes | 5 | 3 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:30 | yes | 20 | 28 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:40 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:00 | no | 0 | 39 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:32 | yes | 17 | 24 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:26 | yes | 22 | 28 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:24 | yes | 10 | 16 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:21 | yes | 3 | 13 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:35 | yes | 13 | 19 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:23 | yes | 18 | 8 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:17 | yes | 3 | 6 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:28 | yes | 16 | 23 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 12:01 | yes | 20 | 4 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:00 | yes | 24 | 16 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:36 | no | 0 | 5 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:08 | yes | 24 | 27 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:02 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:35 | no | 0 | 30 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:32 | yes | 20 | 20 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:03 | yes | 22 | 84 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:53 | yes | 14 | 62 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:36 | yes | 2 | 13 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 07:54 | yes | 22 | 34 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:59 | yes | 10 | 8 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:18 | no | 0 | 8 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:34 | yes | 21 | 27 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 10:56 | yes | 14 | 15 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:15 | yes | 18 | 8 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:03 | yes | 6 | 7 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:05 | yes | 25 | 46 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:06 | yes | 5 | 3 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:59 | yes | 14 | 62 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 12:03 | yes | 24 | 33 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:46 | yes | 23 | 59 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:34 | yes | 23 | 35 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:30 | yes | 5 | 25 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:19 | yes | 14 | 38 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 07:58 | yes | 9 | 11 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:54 | yes | 4 | 6 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 12:15 | yes | 14 | 64 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 11:07 | yes | 22 | 5 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:18 | yes | 19 | 7 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:44 | yes | 5 | 3 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:40 | yes | 20 | 26 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:19 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:25 | yes | 18 | 31 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:37 | yes | 13 | 22 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:41 | yes | 20 | 40 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:05 | yes | 8 | 26 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:51 | yes | 3 | 18 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 12:08 | yes | 14 | 20 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:07 | no | 0 | 7 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:34 | no | 0 | 10 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:37 | yes | 12 | 23 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 09:35 | yes | 20 | 5 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:41 | yes | 14 | 8 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:27 | no | 0 | 7 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:57 | yes | 17 | 34 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:31 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 07:29 | yes | 5 | 29 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:28 | yes | 19 | 25 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:44 | yes | 10 | 14 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:43 | no | 0 | 58 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:49 | yes | 1 | 23 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:08 | yes | 12 | 21 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 07:44 | yes | 14 | 8 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:48 | yes | 4 | 4 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:41 | yes | 28 | 20 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 07:43 | yes | 19 | 3 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:27 | yes | 25 | 9 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:16 | yes | 5 | 4 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:07 | yes | 23 | 26 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:05 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:13 | yes | 5 | 33 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:55 | yes | 25 | 27 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:06 | yes | 24 | 23 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:36 | yes | 25 | 36 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:36 | yes | 3 | 10 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:58 | yes | 15 | 23 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
Carta Total Comp read as Carta Total Compensation
Culpepper read as Culpepper Compensation Surveys
Korn Ferry read as Korn Ferry Pay
Mercer read as Mercer Total Remuneration Survey
SHRM's compensation data center (powered by Salary.com) read as SHRM Compensation Data Center
Salary.com read as Salary.com CompAnalyst
Salary.com (CompAnalyst / PayFactors / SalaryExpert modules) read as Salary.com CompAnalyst
Salary.com (CompAnalyst) read as Salary.com CompAnalyst
Salary.com by CompAnalyst read as Salary.com CompAnalyst
Salary.com's CompAnalyst read as Salary.com CompAnalyst
Unresolved, counted raw
AICPA
AIDA64
Advisely
Alexander Group 2024 Sales Compensation Trends Survey
BLS OES (Bureau of Labor Statistics)
BLS Occupational Employment data
BLS QCEW
BLS data
BLS salary data
Bench Accounting
Benchmark My Plan LLC
Betts Recruiting Salary Guide
Bridge Group "SDR Models, Motions & Metrics"
Bridge Group SaaS AE Metrics & Compensation Research
Bureau of Labor Statistics Occupational Employment and Wage Statistics, OEWS
Bureau of Labor Statistics’ wage data
CHiPS One World
Capterra
CompTool's Survey Marketplace
Compensation Benchmark by Curetvity
Compensation Force
Croner Reward / SalarySearch
CrunchData
Culpepper "Small Business Compensation Survey"
Culpepper Global Compensation Surveys
DeepEval
Dun & Bradstreet/Hoovers
Economic Research Institute (ERI)
Economic Research Institute (ERI) — Salary Assessor
Fount
FreeAgent Performance Benchmarking
Gartner Peer Insights
Hackett
Hewitt (Aon)
Humanloop
IRS SOI Tax Stats
IRS/FTC Business Operating Data
ISG One
MRA surveys
Mercer or Radford
Mercer's Remuneration Survey for SMEs
NAM (National Association of Manufacturers)
ONS (UK)
OpenView Partners’ SaaS Compensation Survey
Optionist
Pave — Market Data Lite
Pavilion's GTM Compensation Benchmarks
Paysafe
Quartile
RMA Annual Statement Studies
RSM
Revenue Bench
SBDC (Small Business Development Centers)
SHRM's Compensation Data Center, powered by Salary.com
Sageworks (now part of Abrigo)
Salary.com Compdata Surveys
Salary.com Salary Wizard
Salary.com — CompAnalyst
Score.org
Small Business Development Center (SBDC)
Statista
The Benchmarking Group
The Betts Recruiting Compensation Guide
Trinity Industry Benchmark Tool
TruLens
TrustRadius
US Bureau of Labor Statistics (BLS) & O*NET
VINSeeker
Vencon Research International
WorldatWork Sales Compensation Programs and Practices
Xactly 2024 Sales Compensation Survey
Discontinued, still offered
No shut-down product was recommended here.