Index › Compensation and total rewards › Compensation management › Enterprise › October 2026 Edition
Compensation management for enterprise buyers
Asked as “compensation management software”, and as “salary planning and compensation review software”, on behalf of an enterprise B2B company. 56 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
25%
Contested · Workday Compensation 21%
25beqom21Workday Compensation05HRSoft Compensation Management48others
25% of first choices, contested.
Since September 2026↗new leaderNew leader since September 2026: beqom (26%) replaces Workday Compensation (35% then, 20% now), 7 points clear, inside the 13-point floor.beqom leads at 26%, replacing Workday Compensation, which led at 35% and stands at 20% now: 7 points clear, inside the floor, so the swap reads as unsettled.
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.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.This page
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.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.This pageThe standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01beqom25%12%48accepted challenger▲+6Since September 2026: 20% → 26%, +6 points. Inside the 13-point floor: within noise. Read over the models both editions asked.20% → 26%
beqom25%12%48accepted challenger▲+6Since September 2026: 20% → 26%, +6 points. Inside the 13-point floor: within noise. Read over the models both editions asked.20% → 26%02
Workday Compensation21%15%48accepted challenger▼−15Since September 2026: 35% → 20%, −15 points. Past the 13-point floor: movement. Read over the models both editions asked.35% → 20%
Workday Compensation21%15%48accepted challenger▼−15Since September 2026: 35% → 20%, −15 points. Past the 13-point floor: movement. Read over the models both editions asked.35% → 20%03
Oracle Fusion Cloud Compensation5%15%20accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%
Oracle Fusion Cloud Compensation5%15%20accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%04
HRSoft Compensation Management5%17%18accepted challenger▲+4Since September 2026: 2% → 7%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 7%
HRSoft Compensation Management5%17%18accepted challenger▲+4Since September 2026: 2% → 7%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 7%05Pave5%22%23accepted challenger▲+4Since September 2026: 2% → 7%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 7%
Pave5%22%23accepted challenger▲+4Since September 2026: 2% → 7%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 7%06
SAP SuccessFactors Compensation4%20%35accepted challenger▼−3Since September 2026: 3% → 0%, −3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.3% → 0%
SAP SuccessFactors Compensation4%20%35accepted challenger▼−3Since September 2026: 3% → 0%, −3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.3% → 0%07
Compport4%15%13accepted challenger▲+1Since September 2026: 3% → 4%, +1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.3% → 4%
Compport4%15%13accepted challenger▲+1Since September 2026: 3% → 4%, +1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.3% → 4%08
Varicent4%27%15criticized challenger▼−1Since September 2026: 3% → 2%, −1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.3% → 2%
Varicent4%27%15criticized challenger▼−1Since September 2026: 3% → 2%, −1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.3% → 2%09
CaptivateIQ2%16%19accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 2%
CaptivateIQ2%16%19accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 2%10
Salary.com2%22%18accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%
Salary.com2%22%18accepted 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
Payscale2%36%22criticized 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%36%22criticized challenger▲+1Since September 2026: 1% → 2%, +1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.1% → 2%12
Lattice Compensation2%58%12criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%
Lattice Compensation2%58%12criticized 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
15
UKG Pro Compensation0%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%
UKG Pro Compensation0%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
Xactly0%16%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%
Xactly0%16%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%14
Ravio0%8%13accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
Ravio0%8%13accepted 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 →
010203040506070809101112131415Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01beqom25%
beqom25%02Workday Compensation21%
Workday Compensation21%03Oracle Fusion Cloud Compensation5%
Oracle Fusion Cloud Compensation5%04HRSoft Compensation Management5%
HRSoft Compensation Management5%05Pave5%
Pave5%06SAP SuccessFactors Compensation4%
SAP SuccessFactors Compensation4%07Compport4%
Compport4%08Varicent4%
Varicent4%09CaptivateIQ2%
CaptivateIQ2%10Salary.com2%
Salary.com2%11Payscale2%
Payscale2%12Lattice Compensation2%
Lattice Compensation2%13Xactly0%
Xactly0%14Ravio0%
Ravio0%15UKG Pro Compensation0%
UKG Pro Compensation0%What they warned about
Two of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2, GLM 4.7 FlashX, MiniMax M2.5, GPT-6 Luna and Muse Glimmer 30B changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Payscale36%
8 of 22 labels negative · 7 of 14 models · 4 hard negative
“Caution level: High ... At 10,000+ employees across multiple jurisdictions, the data governance and audit trail depth become a defensibility risk” DeepSeek V4 Flash, negative prompt
beqom12%
6 of 48 labels negative · 6 of 14 models · 3 hard negative
“What to Avoid for Predictable Costs | **beqom** | Custom enterprise pricing | 9-month average implementation” Kimi K2, budget prompt
Lattice Compensation58%
7 of 12 labels negative · 6 of 14 models · 2 hard negative
“Great for startups/tech SMBs but hit scalability walls at enterprise size” Grok 4.1 Fast, negative prompt
Pave22%
5 of 23 labels negative · 5 of 14 models · 1 hard negative
“Avoid pure "comp-only" tools like Pave/Ravio/Lattice (better for <1K users; less predictable at scale” 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
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. 1160 links across 213 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 · Ravio52 answers · 116 citations · 12 models
vendor site · CaptivateIQ44 answers · 59 citations · 12 models
vendor site · Darwinbox42 answers · 42 citations · 11 models
vendor site · Comprehensive33 answers · 35 citations · 12 models
vendor site · G232 answers · 39 citations · 12 models
vendor site · G225 answers · 42 citations · 10 models
vendor site · Guideflow25 answers · 31 citations · 11 models
vendor site · Gartner24 answers · 28 citations · 10 models
21 answers · 22 citations · 10 models
vendor site · Testlify20 answers · 20 citations · 9 models
vendor site · Compport17 answers · 36 citations · 7 models
vendor site · Figures17 answers · 18 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.
47 answers · 12 models
42 answers · 11 models
32 answers · 10 models
28 answers · 11 models
26 answers · 9 models
21 answers · 10 models
20 answers · 10 models
20 answers · 9 models
18 answers · 11 models
17 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 “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 |
|---|---|---|---|---|---|---|---|
| beqom beqom.com | 25% | 75 | 590 | 6 | 9,491 | 11 | |
| Workday parent site Workday Compensation 21% | 21% | 73 | 1,220,000 | 23,848 | |||
| HRSoft COMPview hrsoft.com HRSoft Compensation Management 5%, HRSoft COMPview 2% | 7% | 30 | 40 | 0 | 1,230 | 15 | |
| Oracle parent site Oracle Fusion Cloud Compensation 5% | 5% | 27 | 450,000 | 66,611 | |||
| Pave pave.com | 5% | 213 | 27,100 | 28,423 | 7,645 | $91 | 7 |
| SAP parent site SAP SuccessFactors Compensation 4% | 4% | 41 | 135,000 | 74,309 | |||
| Compport compport.com | 4% | 50 | 110 | 1 | 2,146 | ||
| Varicent varicent.com | 4% | 21 | 2,400 | 3,259 | 3,584 | 24 | |
| Pequity pequity.com | 4% | 13 | 590 | 3 | 432 | $103 | 5 |
| Beqom Compensation Management | 4% |
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 an enterprise B2B company?”Paraphrase“Which salary planning and compensation review software would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade compensation platforms and how do they differ?”Budget-constrained“What is the best compensation management software for a large company that needs predictable total cost across thousands of users?”Scale-constrained“We are a 5,000 person company with SSO, SOC 2 and procurement review requirements evaluating a compensation management software. What should we look at?”Negative“Which compensation platforms should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5no first choicebeqomChangedDarwinbox Compensation Management, SAP SuccessFactors Compensation, Workday CompensationCompportno first choicenothing named
Three alternatives
Compport, HRSoft Compensation Management, Workday CompensationFour alternatives
Compport, HRSoft Compensation Management, Pave, beqomTwo alternatives
Workday Compensation, XactlyGPT-5.4 miniVaricentWorkday CompensationChangedWorkday Compensationagainst: ADP Workforce Now, Dayforce, Oracle PeopleSoft, SAP ERP HCM Enterprise Compensation Management, UKG Pro Compensationbeqomagainst: Varicentno first choiceagainst: ADP Workforce Now, Paychex, SAP SuccessFactors Perform and Reward, Wagepoint
Three alternatives
Oracle Sales Performance Management, SAP Incentive Management, Workday CompensationFour alternatives
Payscale CompAnalyst / Payscale Ascent, SAP SuccessFactors Compensation, Salary.com, SimplyMeritTwo alternatives
Oracle Fusion Cloud Compensation, SAP SuccessFactors CompensationOne alternative
SAP SuccessFactors CompensationGemini 3.5 FlashCaptivateIQ, HRSoft Compensation Managementagainst: SAP SuccessFactors HCM, Workday CompensationCompportChangedagainst: SAP SuccessFactors Compensation, Workday CompensationbeqomPerformio, SecureSheetagainst: HiBob, Lattice Compensation, Varicent, Xactlybeqomagainst: SAP SuccessFactors Compensation, UKG Pro Compensation, Workday Compensationagainst: BambooHR Compensation, Barley, CaptivateIQ, Everstage, Excel, Google Sheets, HiBob, Lattice Compensation, Oracle Fusion Cloud Compensation, Pave, Rippling, SAP SuccessFactors Compensation, Spiff, TriNet, Varicent, Workleap, Xactly, beqom
Four alternatives
Compport, Everstage, Xactly Incent, beqomFive alternatives
CaptivateIQ, CompLogix, Pave, Varicent, beqomFive alternatives
CompLogix, HRSoft Compensation Management, Pave, Payscale, Salary.comTwo alternatives
Decusoft, EverstageTwo alternatives
Compport, HRSoft Compensation ManagementPerplexity SonarbeqombeqomHeldno first choicebeqomno first choiceagainst: Aeqium, HiBob, Lattice Compensation, OpenComp, Pave, Payscale, Salary.com
Five alternatives
CaptivateIQ, HRSoft Compensation Management, PeopleFluent, Qobra, UKG Pro CompensationFour alternatives
Payscale Ascent, PeopleFluent, Ravio, Salary.comOne alternative
beqomThree alternatives
Payscale Ascent, Salary.com, Workday CompensationGrok 4.1 FastWorkday Compensationagainst: CaptivateIQ, PaveWorkday CompensationHeldbeqombeqomPequityagainst: BambooHR Compensation, Compport, HRSoft Compensation Management, Lattice Compensation, Payscale, Salary.com
Four alternatives
Paycom, Payscale, Varicent, beqomFour alternatives
Oracle Fusion Cloud Compensation, Payscale, SAP SuccessFactors Compensation, Salary.comFour alternatives
Payscale, Salary.com, Workday Compensation, Xactly IncentFour alternatives
HRSoft Compensation Management, SAP SuccessFactors Compensation, UKG Pro Compensation, Workday CompensationFour alternatives
Aeqium, Payfactors, Salary.com CompXL Max, beqomMistral SmallBeqom Compensation Management, PayscalePaveChangedno first choiceWorkday Compensationagainst: Radford, Visierno first choiceagainst: Compport, Payscale, Salary.com, beqom
One alternative
RavioOne alternative
CompUpOne alternative
RavioDeepSeek V4 FlashbeqomWorkday CompensationChangedbeqomagainst: Payscale, RadfordOracle Fusion Cloud HCM – Workforce Rewardsagainst: SAP SuccessFactors Compensation, Workday Compensation, beqomno first choiceagainst: Beqom Compensation Management, HRSoft Compensation Management, Oracle Fusion Cloud Compensation, Payscale, SAP SuccessFactors Compensation, Salary.com
Four alternatives
CaptivateIQ, Pave, Payscale, Workday CompensationTwo alternatives
Payscale, beqomFour alternatives
CaptivateIQ, Pave, Varicent, Workday CompensationTwo alternatives
Compa, HRSoft Compensation ManagementLlama 4 MaverickCompUpno first choiceChangedWorkday CompensationBeqom Compensation ManagementPequitynothing named
Two alternatives
Beqom Compensation Management, Darwinbox Compensation ManagementOne alternative
PayscaleThree alternatives
CaptivateIQ, Figures, LedgyQwen 3.7 FlashPaveCompAnalyst, PaveChangedSAP SuccessFactors Compensation, Workday Human Capital Managementagainst: ADP Workforce NowLattice Compensation, Workday Compensationagainst: Anaplanno first choiceagainst: Microsoft Excel, Oracle Fusion Cloud Compensation, SAP SuccessFactors Compensation, SharePoint, Workday Compensation
Five alternatives
Carta, Deel, Varicent, Workday Compensation, XactlyTwo alternatives
Diligent, EREFour alternatives
Aeqium, Oracle Fusion Cloud Compensation, Pave, RavioThree alternatives
Ravio, SAP SuccessFactors Total Rewards Management, beqomKimi K2beqomHRSoft Compensation Management, beqomChangedno first choiceHRSoft COMPviewagainst: Workday Compensation, Xactly, beqomno first choiceagainst: CompXL, Comprehensive.io, Deel, Lattice Compensation, Pave, Payscale, SAP SuccessFactors Compensation, Salary.com CompAnalyst, Workday Advanced Compensation
Four alternatives
CaptivateIQ, Payscale, SAP SuccessFactors Compensation, Workday CompensationTwo alternatives
SAP SuccessFactors Compensation, Workday CompensationTwo alternatives
SAP SuccessFactors Compensation, SalaryCube Comp PlanningFour alternatives
BetterComp, Comprehensive.io, Decusoft, Salary.comGLM 4.7 FlashXSalary.com, beqomOracle Fusion Cloud CompensationChangedOracle Fusion Cloud CompensationQuotaPathagainst: CaptivateIQ, Carta Total Rewards, CompUp, Oracle Workforce Rewards Cloud, SalaryCube Comp Planning, Xactly SPM, beqomno first choiceagainst: HiBob, Lattice Compensation, Rippling, Salesforce Spiff
Two alternatives
HiBob, PaycomThree alternatives
Anaplan Workforce Planning, Payfactors, PeopleFluent CompensationTwelve alternatives
ADP Workforce Now, Benefex, Carta Total Rewards, Decusoft Compose, HRSoft Compensation Management, Payscale, SAP SuccessFactors Compensation, Salary.com, SalaryCube Comp Planning, UKG Pro Compensation, Workday Compensation, beqomOne alternative
BambooHR CompensationMiniMax M2.5Workday Compensation, beqomHRSoft Compensation Management, Workday CompensationChangedbeqomWorkday Compensationno first choicenothing named
Four alternatives
Oracle HCM Cloud Compensation, Payscale, SAP SuccessFactors Compensation, Salary.comTwo alternatives
Payfactors, beqomThree alternatives
CompUp, Workday Compensation, XactlyThree alternatives
Dayforce, SAP SuccessFactors Compensation, beqomGPT-6 LunaVaricentOracle Fusion Cloud Compensation, SAP SuccessFactors Compensation, Workday CompensationChangedno first choiceagainst: PayscaleOracle Fusion Cloud Compensation, SAP SuccessFactors Compensation, Workday Compensationno first choiceagainst: 15Five, Cornerstone, Darwinbox Compensation Management, HRSoft Compensation Management, Infor, Paycor, PeopleFluent, UKG Ready, Unit4
Six alternatives
CaptivateIQ, Oracle Fusion Cloud Compensation, SAP SuccessFactors Compensation, Salesforce Spiff, Workday Compensation, XactlyFour alternatives
Compport, Payscale, Salary.com CompXL Max, beqomSeven alternatives
CaptivateIQ, Oracle Fusion Cloud Compensation, SAP SuccessFactors Compensation, Varicent, Workday Compensation, Xactly, beqomOne alternative
beqomThree alternatives
Pave, Workday Compensation, beqomMuse Glimmer 30BbeqomWorkday CompensationChangedbeqombeqomno first choiceagainst: Glassdoor, Indeed, Lattice Compensation, Levels.fyi, LinkedIn Salary, Pave, Payscale, Ravio, Varicent, Workday Compensation, beqom
Two alternatives
SAP SuccessFactors Compensation, Workday Advanced CompensationFour alternatives
CompUp, Oracle Fusion Cloud Compensation, SAP SuccessFactors Compensation, beqomTen alternatives
CaptivateIQ, Oracle Fusion Cloud HCM Compensation, Pave, Radford, Ravio, SAP Commissions, SAP SuccessFactors Compensation, Varicent, Workday Compensation, XactlyTwo alternatives
SAP SuccessFactors Compensation, Workday CompensationBold 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 07:29 | no | 0 | 3 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:57 | yes | 4 | 4 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:36 | yes | 17 | 23 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 08:13 | yes | 18 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:09 | yes | 17 | 8 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:05 | yes | 6 | 4 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:29 | yes | 22 | 29 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:25 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:20 | no | 0 | 29 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:10 | yes | 13 | 18 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:00 | yes | 23 | 56 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:26 | yes | 17 | 27 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:39 | yes | 5 | 10 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 07:29 | yes | 14 | 18 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:31 | yes | 16 | 10 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:43 | yes | 5 | 4 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:43 | yes | 14 | 28 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 08:38 | yes | 19 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:00 | yes | 17 | 18 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:34 | yes | 5 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:54 | yes | 24 | 58 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:33 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:37 | no | 0 | 38 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:13 | yes | 20 | 21 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:10 | yes | 22 | 30 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:39 | yes | 19 | 23 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:44 | yes | 5 | 19 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 07:52 | yes | 15 | 20 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:35 | yes | 17 | 10 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:36 | yes | 5 | 9 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:08 | yes | 18 | 28 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 11:18 | yes | 17 | 6 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:40 | yes | 20 | 10 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:01 | yes | 9 | 8 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:47 | yes | 23 | 44 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:41 | yes | 5 | 4 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:47 | yes | 10 | 43 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:17 | yes | 20 | 31 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:27 | yes | 14 | 59 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:18 | yes | 25 | 24 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:08 | yes | 8 | 27 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:51 | yes | 23 | 48 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:33 | yes | 17 | 8 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:31 | yes | 3 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:33 | yes | 16 | 29 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 10:34 | yes | 18 | 3 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:56 | yes | 19 | 9 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:47 | yes | 25 | 12 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:08 | yes | 25 | 38 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:22 | yes | 5 | 4 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:46 | yes | 8 | 28 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:33 | yes | 24 | 23 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:16 | yes | 24 | 53 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:58 | yes | 16 | 43 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:41 | yes | 2 | 10 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:28 | yes | 23 | 50 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:27 | yes | 18 | 12 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:05 | no | 0 | 9 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:01 | yes | 10 | 27 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 08:20 | yes | 16 | 6 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:00 | yes | 14 | 10 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:07 | no | 0 | 9 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:32 | yes | 24 | 41 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:36 | yes | 5 | 4 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:07 | no | 0 | 29 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:42 | yes | 23 | 41 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:52 | yes | 20 | 29 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:03 | yes | 15 | 37 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:28 | yes | 4 | 19 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:14 | yes | 13 | 30 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:29 | yes | 19 | 9 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:33 | yes | 5 | 6 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:11 | yes | 21 | 30 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 10:04 | yes | 19 | 5 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:23 | yes | 24 | 16 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:55 | yes | 16 | 8 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:48 | yes | 22 | 57 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:22 | yes | 5 | 1 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:26 | no | 0 | 45 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 12:08 | yes | 21 | 34 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:53 | yes | 21 | 62 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:53 | yes | 22 | 39 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:42 | yes | 2 | 17 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:04 | yes | 15 | 27 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
Darwinbox read as Darwinbox Compensation Management
HRSoft read as HRSoft Compensation Management
HRSoft (COMPview) read as HRSoft Compensation Management
HRsoft read as HRSoft Compensation Management
Lattice read as Lattice Compensation
Mercer read as Mercer IBE
Oracle read as Oracle Fusion Cloud Compensation
Oracle Cloud HCM 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 Compensation read as Oracle Fusion Cloud Compensation
Oracle Workforce Compensation (Oracle Fusion Cloud HCM) read as Oracle Fusion Cloud Compensation
SAP SuccessFactors read as SAP SuccessFactors Compensation
SAP SuccessFactors Compensation Management read as SAP SuccessFactors Compensation
SalaryCube read as SalaryCube Comp Planning
UKG read as UKG Pro Compensation
UKG Pro read as UKG Pro Compensation
Workday read as Workday Compensation
Workday Compensation Management read as Workday Compensation
beqom PaySuite read as beqom
Unresolved, counted raw
ADP Workforce Now Compensation
Adaptive
Anaplan Workforce Planning
Capbridge
Decusoft Compose
ERE (Employee Rewards Engine)
EquityList
HRDataHub
Lattice Compensation planning
Ledgy
LinkedIn Salary
McLagan
Microsoft Excel
Oracle Fusion Cloud HCM – Workforce Rewards
Oracle HCM Cloud Compensation
Oracle Sales Performance Management
Oracle Workforce Rewards Cloud
Payscale CompAnalyst / Payscale Ascent
PeopleFluent Compensation
ProComp
SAP Commissions
SAP ERP HCM Enterprise Compensation Management
SAP Incentive Management
SAP SuccessFactors Perform and Reward
SAP SuccessFactors Total Rewards Management
Salesforce Revenue Cloud
SecureSheet
UKG Pro Compensation Management
Unit4
Varis
WTW Surveys
Xactly SPM
Discontinued, still offered
No shut-down product was recommended here.