Index › Compensation and total rewards › Compensation management › Small business › October 2026 Edition
Compensation management for small business buyers
Asked as “compensation management software”, and as “salary planning and compensation review software”, on behalf of a small B2B company. 57 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
21%
Contested · BambooHR Compensation 16%
21Pave16BambooHR Compensation16Compease47others
21% of first choices, contested.
Since September 2026▲+5Since September 2026: 17% → 22%, +5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Pave held the lead, +5 points on 17%, 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
Pave21%Contested▲+5Since September 2026: 17% → 22%, +5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.This pageMid-marketPave18%Contested=heldSince September 2026: 18% → 18%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →Enterprise
beqom25%Contested↗new leaderNew leader since September 2026: beqom (26%) replaces Workday Compensation (35% then, 20% now), 7 points clear, inside the 13-point floor.Standing →
Pave21%Contested▲+5Since September 2026: 17% → 22%, +5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.This pageMid-marketPave18%Contested=heldSince September 2026: 18% → 18%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →Enterprisebeqom25%Contested↗new leaderNew leader since September 2026: beqom (26%) replaces Workday Compensation (35% then, 20% now), 7 points clear, inside the 13-point floor.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
01Pave21%2%40accepted challenger▲+5Since September 2026: 17% → 22%, +5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.17% → 22%
Pave21%2%40accepted challenger▲+5Since September 2026: 17% → 22%, +5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.17% → 22%02
BambooHR Compensation16%20%40accepted challenger▲+4Since September 2026: 14% → 18%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.14% → 18%
BambooHR Compensation16%20%40accepted challenger▲+4Since September 2026: 14% → 18%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.14% → 18%03Compease16%6%16accepted challenger▲+6Since September 2026: 12% → 18%, +6 points. Inside the 13-point floor: within noise. Read over the models both editions asked.12% → 18%
04
Salary.com5%29%17criticized challenger▲+3Since September 2026: 4% → 7%, +3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 7%
Salary.com5%29%17criticized challenger▲+3Since September 2026: 4% → 7%, +3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 7%05
Ravio4%4%24accepted challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 2%
Ravio4%4%24accepted challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 2%06
Comprehensive4%0%17accepted challenger▼−2Since September 2026: 7% → 4%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.7% → 4%
Comprehensive4%0%17accepted challenger▼−2Since September 2026: 7% → 4%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.7% → 4%07
QuotaPath4%0%13accepted challenger▼−9Since September 2026: 11% → 2%, −9 points. Inside the 13-point floor: within noise. Read over the models both editions asked.11% → 2%
QuotaPath4%0%13accepted challenger▼−9Since September 2026: 11% → 2%, −9 points. Inside the 13-point floor: within noise. Read over the models both editions asked.11% → 2%08
Rippling2%7%14accepted challenger▲+1Since September 2026: 1% → 2%, +1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.1% → 2%
Rippling2%7%14accepted challenger▲+1Since September 2026: 1% → 2%, +1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.1% → 2%09
Gusto2%8%12accepted challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 2%
Gusto2%8%12accepted challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 2%10
HiBob2%17%12accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%
HiBob2%17%12accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%11
Salary.com CompAnalyst2%20%10accepted challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 2%
Salary.com CompAnalyst2%20%10accepted challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 2%12
Lattice Compensation2%20%10accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 0%
Lattice Compensation2%20%10accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 0%13
Payscale2%33%15criticized challenger▲+1Since September 2026: 1% → 2%, +1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.1% → 2%
Payscale2%33%15criticized challenger▲+1Since September 2026: 1% → 2%, +1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.1% → 2%Show the three products at 0%, ordered by negative rate
16
Lattice Compensate0%82%11criticized challenger▼−1Since September 2026: 1% → 0%, −1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.1% → 0%
Lattice Compensate0%82%11criticized challenger▼−1Since September 2026: 1% → 0%, −1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.1% → 0%15
Paycom0%33%15criticized challenger▼−1Since September 2026: 1% → 0%, −1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.1% → 0%
Paycom0%33%15criticized challenger▼−1Since September 2026: 1% → 0%, −1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.1% → 0%14
Deel0%10%10accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
Deel0%10%10accepted 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.
Head to head
All twenty-eight head-to-head pages: the top eight products, each against each
Pave vs CaptivateIQPave vs PaycomPave vs BambooHR CompensationPave vs HiBobRavio vs ComprehensiveRavio vs CompUpRavio vs CaptivateIQRavio vs PaycomRavio vs BambooHR CompensationRavio vs HiBobComprehensive vs CompUpComprehensive vs CaptivateIQComprehensive vs PaycomComprehensive vs BambooHR CompensationComprehensive vs HiBobCompUp vs CaptivateIQCompUp vs PaycomCompUp vs BambooHR CompensationCompUp vs HiBobCaptivateIQ vs PaycomCaptivateIQ vs BambooHR CompensationCaptivateIQ vs HiBobPaycom vs BambooHR CompensationPaycom vs HiBobBambooHR Compensation vs HiBob
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 →
0102C03
04050607080910111213141516Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01Pave21%
Pave21%02BambooHR Compensation16%
BambooHR Compensation16%03Compease16%
04Salary.com5%
Salary.com5%05Ravio4%
Ravio4%06Comprehensive4%
Comprehensive4%07QuotaPath4%
QuotaPath4%08Rippling2%
Rippling2%09Gusto2%
Gusto2%10HiBob2%
HiBob2%11Salary.com CompAnalyst2%
Salary.com CompAnalyst2%12Lattice Compensation2%
Lattice Compensation2%13Payscale2%
Payscale2%14Deel0%
Deel0%15Paycom0%
Paycom0%16Lattice Compensate0%
Lattice Compensate0%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, 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.
ADP Workforce Now100%
8 of 8 labels negative · 7 of 14 models · 3 hard negative
“Bait-and-switch pricing ... Many platforms designed for mid-market or enterprise companies (ADP, Paylocity) will sell to small businesses but deliver poor value.” Kimi K2, negative prompt
Workday Compensation89%
8 of 9 labels negative · 6 of 14 models · 6 hard negative
“Enterprise compensation-planning suites (e.g., Workday) – These are typically designed for large organizations and may be overly complex and expensive for small businesses.” Mistral Small, negative prompt
Compport83%
5 of 6 labels negative · 5 of 14 models · 5 hard negative
“such as Compport can be a poor fit for smaller teams; one review explicitly says it is "not suitable for small businesses under 50 employees"” Perplexity Sonar, negative prompt
Paychex100%
5 of 5 labels negative · 5 of 14 models · 2 hard negative
“Paychex has a **1.2–1.7 star rating** across Trustpilot, Consumer Affairs, and BBB reviews” DeepSeek V4 Flash, 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
79 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. 1020 links across 172 sites, every framing counted. Ranked by the number of answers carrying the site or page. 13 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 · G248 answers · 57 citations · 13 models
vendor site · FirstHR47 answers · 47 citations · 10 models
vendor site · Ravio45 answers · 74 citations · 13 models
vendor site · Comprehensive41 answers · 46 citations · 11 models
vendor site · G239 answers · 62 citations · 13 models
vendor site · HiBob39 answers · 40 citations · 12 models
27 answers · 33 citations · 11 models
vendor site · QuotaPath26 answers · 28 citations · 14 models
26 answers · 26 citations · 11 models
20 answers · 24 citations · 10 models
vendor site · CaptivateIQ20 answers · 23 citations · 8 models
vendor site · Pave19 answers · 35 citations · 10 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.
46 answers · 10 models
39 answers · 12 models
37 answers · 10 models
30 answers · 10 models
30 answers · 11 models
25 answers · 13 models
24 answers · 11 models
21 answers · 10 models
19 answers · 11 models
19 answers · 11 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 “best compensation management software”, “compensation management software”, “compensation platforms”. 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 21%, Pave Market Data Lite 2% | 23% | 213 | 27,100 | 28,423 | 7,645 | $91 | 7 | |
| BambooHR bamboohr.com BambooHR Compensation 16% | 16% | 55 | 90,500 | 551 | 1,055,247 company | $44,698 | 106 | 5 |
| Compease | 16% | 210 | 2 | |||||
| Salary.com salary.com Salary.com 5%, Salary.com CompAnalyst 2% | 7% | 90 | 12,100 | 71 | 1,069,118 | $1,642 | 70 | 1 |
| Comprehensive comprehensive.io Comprehensive 4%, Comprehensive.io 4% | 7% | 55 | 74,000 | 18,892 | 2,021 | 4 | ||
| Ravio ravio.com | 4% | 165 | 1,900 | 181 | 8,419 | 3 | ||
| QuotaPath quotapath.com | 4% | 22 | 1,600 | 5 | 21,168 | $1,546 | 34 | |
| CompUp compup.io | 4% | 50 | 40 | 2 | 3,016 | |||
| Leapsome leapsome.com | 4% | 298 | 2,900 | 32 | 51,450 | $18,531 | 60 | |
| Compa compa.ai CompAnalyst 2%, Compa 2% | 4% | 15 | 12,100 | 1,312 | 4,124 | 0 |
Google's top ten for the three searches hold 23 sites; 5 of them are among the sites the models cited here (captivateiq.com, comprehensive.io, g2.com, peoplemanagingpeople.com, ravio.com). The first result for “best compensation management software” is gartner.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 compensation management software for a small B2B company?”Paraphrase“Which salary planning and compensation review software would you recommend to a small business that sells to other businesses?”Comparative“What are the top compensation platforms for a small team and how do they differ?”Budget-constrained“What is the best compensation management software for a small company with a tight budget?”Scale-constrained“We are a 30 person company evaluating a compensation management software. What should we look at?”Negative“Which compensation platforms should a small business avoid or be cautious about?”
Claude Haiku 4.515Five, ComprehensiveBambooHR CompensationChangedagainst: CaptivateIQBambooHR Compensation, Salary.com CompAnalystCompeaseno first choiceagainst: BambooHR Compensation, Compa, Compport, OpenComp, Payscale, Pequity
Four alternatives
BambooHR Compensation, Compease, Deel, OpenCompThree alternatives
Aeqium, Paycom, Salary.com CompAnalystFour alternatives
CompBldr, Compa, Paycom, QuotaPathTwo alternatives
BambooHR Compensation, Deel PayrollGPT-5.4 miniHiBobSalary.comChangedno first choiceCompUpagainst: ADP Workforce Now, Deel, Paycorno first choiceagainst: Anaplan, Deel Payroll, Paycom, SAP SuccessFactors Compensation, Salary.com
Five alternatives
Deel, Gusto, Paycor, Payscale, QuotaPathTwo alternatives
Payscale Ascent, WorkleapSeven alternatives
CaptivateIQ, Deel Payroll, Gusto, HiBob, Lattice Compensation, Paycom, Salary.comOne alternative
HRSoft Compensation ManagementGemini 3.5 FlashPave, QuotaPathWorkleap CompensationChangedPavePaveagainst: CaptivateIQ, Payscale, Salary.com, Spiff, beqomPaveagainst: Salary.com, Workday Advanced Comp, beqomagainst: CaptivateIQ, Carta, CompensationXL, Glassdoor, HRSoft Compensation Management, Mercer IBE, Payscale, Radford, Willis Towers Watson, Xactly Incent, beqom
Six alternatives
Aeqium, BambooHR Compensation, Everstage, HiBob, Rippling, Workleap CompensationFour alternatives
ChartHop, Everstage, Pave, QuotaPathFive alternatives
Barley, Deel, Gusto, OpenComp, QuotaPathFive alternatives
BambooHR Compensation, Comprehensive, Deel, QuotaPath, WorkleapEight alternatives
Aeqium, BambooHR Compensation, Barley, HiBob, Lattice Compensation, Ravio, Rippling, Workleap CompensationPerplexity SonarCompeaseBambooHR Compensation, PaveChangedagainst: Lattice CompensateBambooHR CompensationBambooHR Compensationno first choiceagainst: Compport, Glassdoor, Levels.fyi, Payscale
One alternative
TriNetOne alternative
isolvedSix alternatives
Gusto, Pave, Paycom, QuotaPath, Salary.com, isolvedTwo alternatives
Paycom, Salary.comGrok 4.1 FastPayscale, Salary.com CompAnalystBambooHR CompensationChangedComprehensive.io, Paveagainst: ADP Workforce Now, Carta, Workday CompensationPaveagainst: CompeaseComprehensiveagainst: ADP Workforce Now, Brigit, EarnIn, Gusto, Oracle Fusion Cloud Compensation, Paychex, Paycom, SAP SuccessFactors Compensation, Workday Compensation
Three alternatives
Deel, HRSoft COMPview, PayfactorsFour alternatives
Comprehensive, Gusto, Pave, Salary.com CompAnalystThree alternatives
BambooHR Compensation, Pulley, RavioTwo alternatives
Comprehensive.io, RavioThree alternatives
CompUp, Ravio, Salary.com CompAnalystMistral SmallCompeaseBambooHR CompensationChangedPave, Ravioagainst: Lattice CompensateBambooHR Compensationno first choiceagainst: Compport, Glassdoor, Hays, Workday Compensation
One alternative
CompXLTwo alternatives
CompAnalyst, RavioTwo alternatives
Comprehensive, QuotaPathTwo alternatives
Paycom, Salary.comDeepSeek V4 FlashBambooHR CompensationCompease, PaveChangedPaveagainst: BambooHR Compensationno first choicePave, Ravioagainst: COMPview, Compport, HiBob, Lattice Compensate, Workday Compensationagainst: ADP Workforce Now, Decusoft, HRSoft Compensation Management, Lattice Compensate, Paychex, SAP SuccessFactors Compensation, Salary.com CompAnalyst, beqom
Four alternatives
Carta Total Comp, Deel, Payscale, Salary.com CompAnalystFour alternatives
BambooHR Compensation, Comprehensive.io, Lattice Compensate, RavioThree alternatives
Compease, Lattice Compensate, RavioTwo alternatives
BambooHR Compensation, RipplingLlama 4 Maverickno first choiceno first choiceHeldno first choiceSalary.comno first choiceagainst: BambooHR Compensation, Lattice Compensateagainst: Compport, Workday Compensation
Two alternatives
BambooHR Compensation, PaycomQwen 3.7 FlashCompeaseagainst: Excel templatesGusto, RipplingChangedDeel, Paveagainst: Ceridian, PaycomCompeaseno first choiceagainst: Workday Compensationagainst: ADP Workforce Now, Oracle Fusion Cloud Compensation, Paychex, QuickBooks Online, SAP SuccessFactors Compensation, Workday Compensation
Three alternatives
CaptivateIQ, Commissionly, DeelFour alternatives
CaptivateIQ, Compease, Comprehensive, QuotaPathOne alternative
BambooHR CompensationThree alternatives
CompUp, Excel, PaveTwo alternatives
Betterment, Lattice CompensationKimi K2Paveagainst: HRSoft Compensation Management, Paycom, XactlyBambooHR CompensationChangedPaveCompUp, Paveagainst: BambooHR Compensation, Lattice Compensation, OpenComp, SimplyMeritno first choiceagainst: ADP Workforce Now, Carta Equity Suite, Deel Payroll, Engage PEO, Paychex Flex, Paylocity, Vensure Employer Solutions
Three alternatives
BambooHR Compensation, CompUp, Workleap CompensationThree alternatives
Comprehensive, Pave, PayscaleFive alternatives
Carta Total Comp, Compa, OpenComp, Payscale, Salary.com CompAnalystThree alternatives
Comprehensive, Empxtrack, Excel/Google SheetsGLM 4.7 FlashXCompeaseSalary.comChangedPaveCompeaseno first choiceagainst: ADP Workforce Now, Deel Payroll, Paychex, Rippling
Four alternatives
Comprehensive, Deel Payroll, HiBob, Workleap CompensationFour alternatives
Aeqium, Pave, QuotaPath, RipplingThree alternatives
Carta Total Comp, Personio, beqomTwo alternatives
BambooHR Compensation, PaveMiniMax M2.5Comprehensive.io, Leapsomeagainst: PaycomCompAnalystChangedPave, Personioagainst: Salary.comPaveno first choiceagainst: ADP Workforce Now, Namely, Paychex, Paycor, QuickBooks Payroll
One alternative
TriNetFour alternatives
BambooHR Compensation, Namely, Paycor, RavioTwo alternatives
Figures, HiBobTwo alternatives
Comprehensive, RavioGPT-6 LunaQuotaPathBambooHR Compensation Management, Lattice CompensationChangedPaveagainst: Payscale Payfactors, RavioPave Market Data Liteno first choiceagainst: Lattice Compensation, Pave, Payscale, Salary.com CompAnalyst
Two alternatives
Lattice Compensation, PaveTwo alternatives
Pave, RipplingTwo alternatives
Carta Total Comp, PequityTwo alternatives
Excel, Google SheetOne alternative
PaveMuse Glimmer 30BCompeaseBambooHR CompensationChangedPave Market Data Liteagainst: BambooHR Compensation, Lattice CompensateComprehensive.io, Leapsome, Paveagainst: Anaplan, BambooHR Compensation, Gradar, HiBob, Lattice Compensate, beqomCompa, Pave, Ravioagainst: BambooHR Compensation, Lattice Compensateagainst: BambooHR Compensation, Lattice Compensate, Payfactors, Salary.com, Workday Compensation
Six alternatives
BambooHR Compensation, Deel Payroll, HiBob, Paycom, Payfederate, Salary.comOne alternative
Salary.com CompAnalystThree alternatives
Levels.fyi Employer Benchmarking, OpenComp Market Pulse via Gusto, PersonioOne alternative
ChartHopTwo alternatives
Paycom, Salary.comBold 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 11:08 | yes | 9 | 7 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:08 | yes | 4 | 6 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:59 | yes | 19 | 24 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 11:29 | yes | 16 | 6 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:41 | yes | 19 | 8 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:19 | yes | 13 | 5 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:45 | yes | 22 | 34 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:52 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:34 | yes | 13 | 63 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:38 | yes | 13 | 21 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:03 | yes | 12 | 75 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:42 | yes | 6 | 15 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:09 | yes | 2 | 18 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:15 | yes | 11 | 20 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:28 | yes | 9 | 7 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:55 | yes | 1 | 7 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:01 | yes | 16 | 19 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 11:01 | yes | 14 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:42 | yes | 20 | 8 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:03 | yes | 5 | 3 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:27 | yes | 18 | 24 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:29 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:12 | yes | 7 | 31 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:17 | yes | 13 | 19 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:54 | yes | 20 | 31 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:35 | yes | 5 | 17 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:16 | yes | 4 | 16 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:32 | yes | 23 | 31 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:34 | yes | 9 | 7 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:57 | yes | 5 | 6 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:52 | yes | 15 | 25 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 07:55 | yes | 15 | 5 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:28 | yes | 22 | 14 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:14 | yes | 8 | 7 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:27 | yes | 22 | 73 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:47 | yes | 5 | 1 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:08 | yes | 9 | 25 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:26 | yes | 20 | 28 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:05 | yes | 23 | 43 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:10 | yes | 14 | 23 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:06 | yes | 5 | 23 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:51 | yes | 23 | 35 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:59 | yes | 10 | 7 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:47 | yes | 2 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:15 | yes | 22 | 22 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 11:42 | yes | 17 | 2 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:45 | yes | 19 | 10 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:00 | yes | 5 | 3 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:54 | yes | 22 | 13 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 07:56 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:44 | yes | 20 | 45 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:07 | yes | 13 | 29 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:06 | yes | 22 | 19 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:53 | yes | 12 | 30 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:08 | yes | 2 | 16 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:51 | yes | 14 | 22 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 07:38 | no | 0 | 6 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:07 | no | 0 | 5 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:31 | yes | 21 | 29 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 07:51 | yes | 19 | 3 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:21 | yes | 12 | 8 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:57 | no | 0 | 7 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:46 | yes | 17 | 34 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:48 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:25 | no | 0 | 27 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 07:49 | yes | 9 | 14 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:40 | yes | 12 | 122 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:59 | yes | 5 | 11 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:08 | yes | 2 | 19 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:17 | yes | 10 | 29 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:58 | yes | 18 | 10 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:48 | yes | 3 | 5 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:11 | yes | 21 | 30 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 09:23 | yes | 19 | 3 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:13 | yes | 24 | 9 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:26 | yes | 5 | 4 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:12 | yes | 25 | 32 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 07:50 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:01 | no | 0 | 33 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:48 | yes | 25 | 27 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:39 | yes | 22 | 117 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:04 | yes | 14 | 31 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:03 | yes | 4 | 19 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:29 | yes | 19 | 46 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
ADP read as ADP Workforce Now
ADP (Automatic Data Processing) read as ADP Workforce Now
ADP (RUN Powered by ADP / Workforce Now) read as ADP Workforce Now
BambooHR read as BambooHR Compensation
BambooHR (Compensation module) read as BambooHR Compensation
BambooHR (Elite tier) read as BambooHR Compensation
BambooHR Elite read as BambooHR Compensation
Carta Total Compensation read as Carta Total Comp
HRSoft read as HRSoft Compensation Management
Lattice read as Lattice Compensation
Mercer read as Mercer IBE
Oracle HCM read as Oracle Fusion Cloud Compensation
Oracle HCM Cloud read as Oracle Fusion Cloud Compensation
SAP SuccessFactors read as SAP SuccessFactors Compensation
Workday read as Workday Compensation
Unresolved, counted raw
BambooHR Compensation Management
Commissionly
Gradar
Levels.fyi Employer Benchmarking
OpenComp Market Pulse via Gusto
Optional / Workcube
Payscale Payfactors
Salary.com free tools
Shareworks
Vensure Employer Solutions
Workday Advanced Comp
Discontinued, still offered
No shut-down product was recommended here.