Compensation management
Asked as “compensation management software”, and as “salary planning and compensation review software”, on behalf of a mid-market B2B company. 56 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
18%
Contested · CompUp 9%
18Pave09CompUp09Comprehensive64others
18% of first choices, contested.
Since September 2026=heldSince September 2026: 18% → 18%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Pave held the lead, ±0 points on 18%, 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.Standing →Mid-marketPave18%Contested=heldSince September 2026: 18% → 18%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.This pageEnterprise
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.Standing →Mid-marketPave18%Contested=heldSince September 2026: 18% → 18%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.This pageEnterprisebeqom25%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 mid-market B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Pave18%6%34accepted challenger=heldSince September 2026: 18% → 18%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.18% → 18%
Pave18%6%34accepted challenger=heldSince September 2026: 18% → 18%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.18% → 18%02
Ravio9%7%29accepted challenger▲+6Since September 2026: 4% → 10%, +6 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 10%
Ravio9%7%29accepted challenger▲+6Since September 2026: 4% → 10%, +6 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 10%03
Comprehensive9%0%16accepted challenger▼−5Since September 2026: 15% → 10%, −5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.15% → 10%
Comprehensive9%0%16accepted challenger▼−5Since September 2026: 15% → 10%, −5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.15% → 10%04
CompUp9%0%14accepted challenger▲+6Since September 2026: 2% → 8%, +6 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 8%
CompUp9%0%14accepted challenger▲+6Since September 2026: 2% → 8%, +6 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 8%05
CaptivateIQ5%6%18accepted challenger▲+1Since September 2026: 3% → 4%, +1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.3% → 4%
CaptivateIQ5%6%18accepted challenger▲+1Since September 2026: 3% → 4%, +1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.3% → 4%06
Paycom4%12%17accepted challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 4%
Paycom4%12%17accepted challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 4%07
BambooHR Compensation4%15%13accepted challenger▲+1Since September 2026: 1% → 2%, +1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.1% → 2%
BambooHR Compensation4%15%13accepted challenger▲+1Since September 2026: 1% → 2%, +1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.1% → 2%08
HiBob4%24%21accepted challenger▼−2Since September 2026: 6% → 4%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.6% → 4%
HiBob4%24%21accepted challenger▼−2Since September 2026: 6% → 4%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.6% → 4%09
Lattice Compensation4%26%19criticized challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 2%
Lattice Compensation4%26%19criticized 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
Payscale2%14%21accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%
Payscale2%14%21accepted 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
13
Workday Compensation0%48%23criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
Workday Compensation0%48%23criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%12beqom0%47%17criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
beqom0%47%17criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%11
Salary.com0%11%19accepted challenger▼−1Since September 2026: 1% → 0%, −1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.1% → 0%
Salary.com0%11%19accepted challenger▼−1Since September 2026: 1% → 0%, −1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.1% → 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 →
01020304050607080910111213Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative30%
Key
01Pave18%
Pave18%02Ravio9%
Ravio9%03Comprehensive9%
Comprehensive9%04CompUp9%
CompUp9%05CaptivateIQ5%
CaptivateIQ5%06Paycom4%
Paycom4%07BambooHR Compensation4%
BambooHR Compensation4%08HiBob4%
HiBob4%09Lattice Compensation4%
Lattice Compensation4%10Payscale2%
Payscale2%11Salary.com0%
Salary.com0%12beqom0%
beqom0%13Workday Compensation0%
Workday Compensation0%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, Qwen 3.7 Flash, GLM 4.7 FlashX, MiniMax M2.5, GPT-6 Luna and Muse Glimmer 30B changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Workday Compensation48%
11 of 23 labels negative · 7 of 14 models · 2 hard negative
“Avoid heavy enterprise giants like *Workday* (unless you are already fully migrated to their ecosystem) or *Beqom*” Gemini 3.5 Flash, direct prompt
beqom47%
8 of 17 labels negative · 5 of 14 models · 3 hard negative
“Avoid heavy enterprise giants like *Workday* ... or *Beqom*, which require months of dedicated developer configuration” Gemini 3.5 Flash, direct prompt
HiBob24%
5 of 21 labels negative · 5 of 14 models
“broad HR suites with basic compensation tools that typically lack the depth and flexibility of dedicated compensation platforms” Claude Haiku 4.5, comparative prompt
Lattice Compensation26%
5 of 19 labels negative · 5 of 14 models
“Often underinvested features (e.g., Lattice compensation module requires base plan + $6/user add-on)” Kimi K2, 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
77 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. 1026 links across 210 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 · G253 answers · 67 citations · 12 models
vendor site · Ravio51 answers · 105 citations · 12 models
vendor site · Comprehensive41 answers · 45 citations · 11 models
vendor site · HiBob31 answers · 33 citations · 13 models
vendor site · G228 answers · 53 citations · 12 models
vendor site · CaptivateIQ28 answers · 42 citations · 11 models
vendor site · Deel27 answers · 32 citations · 11 models
24 answers · 29 citations · 11 models
vendor site · Gartner23 answers · 24 citations · 10 models
vendor site · Figures18 answers · 19 citations · 9 models
vendor site · FirstHR16 answers · 16 citations · 8 models
vendor site · Guideflow14 answers · 14 citations · 9 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.
37 answers · 12 models
36 answers · 11 models
36 answers · 12 models
30 answers · 12 models
28 answers · 11 models
25 answers · 10 models
24 answers · 11 models
20 answers · 9 models
20 answers · 9 models
20 answers · 10 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 | 18% | 213 | 27,100 | 28,423 | 7,645 | $91 | 7 | |
| Ravio ravio.com | 9% | 165 | 1,900 | 181 | 8,419 | 3 | ||
| Comprehensive comprehensive.io | 9% | 39 | 74,000 | 18,892 | 2,021 | 4 | ||
| CompUp compup.io | 9% | 50 | 40 | 2 | 3,016 | |||
| CaptivateIQ captivateiq.com | 5% | 49 | 4,400 | 41 | 17,854 | 31 | 7 | |
| Workleap workleap.com Workleap Compensation 4%, Workleap 2% | 5% | 38 | 10 | 0 | 67,808 company | $740 | 6 | 1 |
| Paycom paycom.com | 4% | 170 | 550,000 | 3,427 | 760,349 | $2,652 | 13 | |
| BambooHR bamboohr.com BambooHR Compensation 4% | 4% | 55 | 90,500 | 551 | 1,055,247 company | $44,698 | 106 | 5 |
| Compport compport.com | 4% | 50 | 110 | 1 | 2,146 | |||
| HiBob hibob.com | 4% | 337 | 14,800 | 154 | 266,143 | $54 | 120 |
Google's top ten for the three searches hold 23 sites; 6 of them are among the sites the models cited here (captivateiq.com, comprehensive.io, g2.com, gartner.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 mid-market B2B company?”Paraphrase“Which salary planning and compensation review software would you recommend to a mid-sized B2B company?”Comparative“What are the top compensation platforms and how do they differ?”Budget-constrained“What is the best compensation management software for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a compensation management software. What should we look at?”Negative“Which compensation platforms should I avoid or be cautious about?”
Claude Haiku 4.5HiBobCompport, ComprehensiveChangedQuotaPathagainst: HRSoft Compensation Management, HiBob, Personio, Workday Compensation, beqomDeel Payroll, HiBobno first choicenothing named
Four alternatives
Qobra, Salary.com, Visdum, beqomThree alternatives
Compease, Pave, SalaryCube Comp PlanningTwo alternatives
Compport, RavioTwo alternatives
CompBldr, OpenCompGPT-5.4 miniCaptivateIQagainst: XactlyLattice CompensationChangedPaveCompUp, Compport Compensation Managementagainst: Anaplan, Payscale, SAP SuccessFactors Compensationno first choiceagainst: HiBob, Paylocity, PrimePay
Three alternatives
Everstage, QuotaPath, SpiffThree alternatives
CompXL, HRSoft Compensation Management, Payscale AscentFour alternatives
Compport, Lattice Compensation, SAP SuccessFactors Compensation, Workday CompensationOne alternative
Deel PayrollGemini 3.5 FlashCaptivateIQ, Paveagainst: Varicent, Workday Compensation, Xactly, beqomPaveChangedagainst: Workday Compensation, beqomPaveagainst: HiBob, Lattice Compensation, Workday CompensationPave, Workleap Compensationagainst: CaptivateIQ, HRSoft Compensation Management, Mercer IBE, Radford, SpiffPaveagainst: Workday Compensation, beqomnothing named
Five alternatives
Barley, Everstage, HiBob, QuotaPath, Salesforce SpiffFour alternatives
CaptivateIQ, HiBob, Stello AI, Workleap CompensationFive alternatives
Aeqium, Compport, Payscale, Salary.com, Workleap CompensationFive alternatives
BambooHR Compensation, Deel HR, OpenComp, QuotaPath, RipplingFour alternatives
Aeqium, Barley, Comprehensive, OpenCompPerplexity SonarCompportAeqium, RavioChangedPaveBambooHR Compensationagainst: Compeaseno first choiceagainst: Glassdoor, Indeed, OneForma, Pulse Labs
Five alternatives
CaptivateIQ, CompUp, HiBob, Payscale Ascent, RavioFour alternatives
HiBob, Keka, Lattice Compensation, PaycomFive alternatives
Deel, Deel HR, Lattice Compensation, Ravio, Salary.com CompAnalystTwo alternatives
Paycom, Salary.comGrok 4.1 FastPaycomPayfactorsChangedPavePaveagainst: Lattice CompensateComprehensive, Figures, Ravio, Salary.com CompAnalystagainst: Paycomagainst: AffiliateNetwork.com, Appen, Awin, Clickworker, DataForce, Fiverr, Lattice Compensation, Lionbridge, MTurk, OneForma, Pave, PeoplePerHour, Ravio, Varicent, Workday Compensation, beqom
Five alternatives
Comprehensive.io, HiBob, QuotaPath, Salary.com, VisdumFive alternatives
BambooHR Compensation, CompUp, Comprehensive, Paycom, RavioFive alternatives
ADP Workforce Now, Comprehensive, Figures, Oracle Fusion Cloud Compensation, RavioThree alternatives
Comprehensive, Deel Payroll, RavioMistral SmallRavioCompUp, RavioChangedOracle Fusion Cloud Compensationagainst: PayscalePaveno first choiceagainst: Lattice Compensation, Pave, Ravio, Varicent, Workday Compensation, beqom
Four alternatives
CompUp, Pave, Payscale, beqomThree alternatives
Aeqium, BambooHR Compensation, PaycomNine alternatives
15Five, ADP Workforce Now, CompUp, Lattice Compensation, Pave, Ravio, Salary.com, UKG Pro Compensation, beqomOne alternative
Excel templatesDeepSeek V4 FlashComprehensive, Paveagainst: beqomPave, PayscaleChangedagainst: beqomno first choiceno first choiceno first choiceagainst: Paycom, Paycor, Salesforce, Workday Compensation
Three alternatives
CaptivateIQ, Lattice Compensation, Payscale AscentThree alternatives
OpenComp, Salary.com, Workleap CompensationEleven alternatives
CaptivateIQ, Compport, Oracle Fusion Cloud Compensation, Pave, Payscale, Radford, Ravio, SAP SuccessFactors Compensation, Salary.com, Workday Compensation, beqomLlama 4 MaverickCompUp, Paylocityno first choiceChangedno first choiceno first choiceno first choicenothing named
Qwen 3.7 FlashQuotaPathPaylocity, SimplifyChangedagainst: Workday Compensationno first choiceGustoagainst: PaycheckCalculator.comno first choiceagainst: SAP, Workday Compensationagainst: Dave, EarnIn
Four alternatives
Paylocity, Performio, Ravio, VisdumTwo alternatives
ADP Workforce Now, BambooHR CompensationSeven alternatives
Aeqium, HiBob, Leapsome, Meridian Compensation, Paycom, Salary.com, Workday CompensationFour alternatives
Airtable, Orient, Pulley, RipplingKimi K2ComprehensiveComprehensiveHeldAeqium, CaptivateIQ, Paveagainst: BambooHR Compensation, Payscale / Salary.comPave, Raviono first choiceagainst: ADP Workforce Now, Gusto, Lattice Compensation, Oracle Fusion Cloud Compensation, Paychex, Paylocity, Workday Compensation
Four alternatives
CaptivateIQ, Lattice Compensate, Pave, RavioTwo alternatives
CaptivateIQ, PaveFive alternatives
Comprehensive, Lattice Compensate, Ravio, Workday/SAP SuccessFactors, beqomFour alternatives
BambooHR Compensation, CompensationXL, Deel Payroll, Lattice CompensateGLM 4.7 FlashXPayscale AscentPaycomChangedno first choiceno first choiceno first choiceagainst: ADP Workforce Now – Compensation Management Module, Deel Payroll, HiBob, Paylocity, Wagepoint
Eight alternatives
BambooHR Compensation, CompUp, Comprehensive, Figures, Lattice Compensate, Pave, Paycor, RavioFive alternatives
Deel Payroll, HiBob, Pave, Ravio, Salary.com CompAnalystMiniMax M2.5CompUpWorkleap, compensation.comChangedno first choiceSalary.com CompAnalystno first choiceagainst: Clickworker.com, Deel Payroll, Salary.com
Four alternatives
CaptivateIQ, Figures, Paylocity, PequityFour alternatives
BambooHR Compensation, Compensive.io, Deel, PaycomOne alternative
PaycomGPT-6 LunaCaptivateIQPave, Workleap CompensationChangedno first choiceBambooHR Compensationagainst: QuotaPathno first choicenothing named
Four alternatives
Lattice Compensation, Payscale, Performio, Salesforce SpiffTwo alternatives
Lattice Compensation, Salary.com CompXLNine alternatives
HiBob, Oracle Fusion Cloud Compensation, Pave, Payscale, SAP SuccessFactors Compensation, Salary.com, Syndio PayEQ, Workday Compensation, XactlyOne alternative
GustoMuse Glimmer 30Bno first choiceLattice CompensationChangedWorkday CompensationCompUpagainst: BambooHR Compensation, HiBob, Lattice Compensationno first choiceagainst: CompAnalyst, Comparably, Glassdoor, Indeed, Levels.fyi, Payfactors, Payscale, Salary.com
Three alternatives
ADP Workforce Now, Compport, PaycomSeven alternatives
Levels.fyi, Pave, Payscale, Ravio, SAP SuccessFactors Compensation, Salary.com, beqomOne alternative
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 07:50 | yes | 9 | 7 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:21 | yes | 4 | 6 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:47 | yes | 15 | 25 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 10:53 | yes | 17 | 2 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:02 | yes | 19 | 11 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:00 | yes | 5 | 5 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:33 | yes | 23 | 40 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:05 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:57 | yes | 9 | 37 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:31 | yes | 17 | 25 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:15 | yes | 22 | 239 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:56 | yes | 11 | 37 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:11 | yes | 4 | 14 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:07 | yes | 15 | 20 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:01 | yes | 14 | 9 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:31 | yes | 3 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:46 | yes | 22 | 19 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 07:45 | yes | 15 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:22 | yes | 22 | 8 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:36 | yes | 5 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:20 | yes | 22 | 44 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:11 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:23 | yes | 20 | 55 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:55 | yes | 19 | 25 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:05 | yes | 12 | 24 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:21 | yes | 5 | 12 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:47 | yes | 4 | 21 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:29 | yes | 15 | 22 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:04 | yes | 10 | 9 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:06 | yes | 5 | 6 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:33 | yes | 24 | 27 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 10:49 | yes | 18 | 4 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:53 | yes | 17 | 11 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:01 | yes | 9 | 7 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:05 | yes | 18 | 31 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:55 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:42 | yes | 14 | 47 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:58 | yes | 16 | 29 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:20 | yes | 24 | 38 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:54 | yes | 10 | 17 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:05 | yes | 9 | 22 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:33 | yes | 15 | 30 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:13 | yes | 10 | 7 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:10 | yes | 5 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 12:17 | yes | 26 | 60 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 11:20 | yes | 17 | 4 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:50 | yes | 22 | 12 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:06 | yes | 10 | 4 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:59 | yes | 24 | 14 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:17 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:27 | no | 0 | 40 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:31 | yes | 11 | 16 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:33 | yes | 10 | 46 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:56 | yes | 5 | 12 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:41 | yes | 4 | 16 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:58 | yes | 22 | 22 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:11 | no | 0 | 8 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:14 | no | 0 | 8 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:53 | yes | 13 | 26 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 10:20 | yes | 19 | 4 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:20 | yes | 12 | 7 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:27 | no | 0 | 5 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:21 | yes | 19 | 32 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:00 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:27 | no | 0 | 36 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:35 | yes | 13 | 23 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:08 | yes | 15 | 23 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:14 | yes | 7 | 28 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:23 | yes | 2 | 14 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:44 | yes | 13 | 27 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:16 | yes | 18 | 8 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:48 | yes | 3 | 4 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:37 | yes | 17 | 24 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 08:22 | yes | 19 | 5 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:52 | yes | 25 | 12 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:09 | yes | 5 | 3 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:24 | yes | 25 | 37 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:57 | yes | 5 | 5 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:06 | no | 0 | 34 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:07 | yes | 25 | 28 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:57 | yes | 14 | 32 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:57 | yes | 15 | 34 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:11 | no | 0 | 2 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 12:00 | yes | 14 | 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.
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Category-scoped readings
ADP read as ADP Workforce Now
BambooHR read as BambooHR Compensation
BambooHR Elite read as BambooHR Compensation
HRSoft read as HRSoft Compensation Management
Lattice read as Lattice Compensation
Mercer read as Mercer IBE
Oracle read as Oracle Fusion Cloud Compensation
Oracle (PeopleSoft) read as Oracle Fusion Cloud Compensation
Oracle Compensation read as Oracle Fusion Cloud Compensation
Oracle Fusion Cloud HCM read as Oracle Fusion Cloud Compensation
Oracle HCM read as Oracle Fusion Cloud Compensation
Oracle HCM Cloud read as Oracle Fusion Cloud Compensation
Oracle HCM Compensation read as Oracle Fusion Cloud Compensation
SAP SuccessFactors read as SAP SuccessFactors Compensation
SalaryCube read as SalaryCube Comp Planning
Syndio read as Syndio PayEQ
UKG read as UKG Pro Compensation
Workday read as Workday Compensation
Unresolved, counted raw
ADP Workforce Now – Compensation Management Module
AffiliateNetwork.com
AirHelp
Airfordable
Awin
Bobby
Cake Equity
Capbase
ChartHop Compensation
ClaimFlights
ClassAction.org
Clickworker.com
Compas
Compensive.io
Compensix
Compport Compensation Management
DataForce (TransPerfect)
Dividend
Equilar
Givaudan
Lionbridge
MTurk
Mainspring / Salary.com
Meridian Compensation
Optionimpact
Oracle Compensation Management
Oracle Fusion Cloud Workforce Compensation
Orient (formerly Convertible)
PaycheckCalculator.com
Payscale Ascent, formerly Payfactors
PrimePay
Prolific
Pulse Labs
Qapita
Qommet
Salary.com CompXL
Skycop
Top Class Actions
Variable.com
Discontinued, still offered
No shut-down product was recommended here.