HR compliance and policy management for enterprise buyers
Asked as “HR compliance software”, and as “employee handbook and policy management tool”, on behalf of an enterprise B2B company. 52 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
23%
Contested · NAVEX PolicyTech 15%
23Workday15NAVEX PolicyTech13Rippling48others
23% of first choices, contested.
Since September 2026▲+1Since September 2026: 22% → 23%, +1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.Workday held the lead, +1 point on 22%, 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
Gusto21%Contested▼−2Since September 2026: 25% → 24%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →Mid-market
Rippling19%Contested▲+5Since September 2026: 16% → 21%, +5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →Enterprise
Workday23%Contested▲+1Since September 2026: 22% → 23%, +1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.This page
Gusto21%Contested▼−2Since September 2026: 25% → 24%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →Mid-marketRippling19%Contested▲+5Since September 2026: 16% → 21%, +5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →EnterpriseWorkday23%Contested▲+1Since September 2026: 22% → 23%, +1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.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
01Workday23%11%44accepted challenger▲+1Since September 2026: 22% → 23%, +1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.22% → 23%
Workday23%11%44accepted challenger▲+1Since September 2026: 22% → 23%, +1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.22% → 23%02
NAVEX PolicyTech15%0%12accepted challenger▲+3Since September 2026: 13% → 16%, +3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.13% → 16%
NAVEX PolicyTech15%0%12accepted challenger▲+3Since September 2026: 13% → 16%, +3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.13% → 16%03Rippling13%15%26accepted challenger▼−1Since September 2026: 17% → 16%, −1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.17% → 16%
Rippling13%15%26accepted challenger▼−1Since September 2026: 17% → 16%, −1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.17% → 16%04
SAP SuccessFactors10%10%30accepted challenger▲+5Since September 2026: 4% → 9%, +5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 9%
SAP SuccessFactors10%10%30accepted challenger▲+5Since September 2026: 4% → 9%, +5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 9%05
ADP Workforce Now4%0%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%
ADP Workforce Now4%0%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%06
Oracle Fusion Cloud HCM2%7%15accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 2%
Oracle Fusion Cloud HCM2%7%15accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 2%07
BambooHR2%50%14criticized challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 2%
BambooHR2%50%14criticized challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 2%Show the three products at 0%, ordered by negative rate
09
UKG Pro0%17%18accepted 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 Pro0%17%18accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 0%08
Deel0%6%18accepted 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%6%18accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%10
ADP SmartCompliance0%0%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%
ADP SmartCompliance0%0%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%The floor is 13 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
All twenty-eight head-to-head pages: the top eight products, each against each
Rippling vs ADP Workforce NowRippling vs BambooHRRippling vs PaycorRippling vs DeelGusto vs TrainualGusto vs Mitratech MineralGusto vs ADP Workforce NowGusto vs BambooHRGusto vs PaycorGusto vs DeelTrainual vs Mitratech MineralTrainual vs ADP Workforce NowTrainual vs BambooHRTrainual vs PaycorTrainual vs DeelMitratech Mineral vs ADP Workforce NowMitratech Mineral vs BambooHRMitratech Mineral vs PaycorMitratech Mineral vs DeelADP Workforce Now vs BambooHRADP Workforce Now vs PaycorADP Workforce Now vs DeelBambooHR vs PaycorBambooHR vs DeelPaycor vs Deel
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 →
01020304050607080910Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01Workday23%
Workday23%02NAVEX PolicyTech15%
NAVEX PolicyTech15%03Rippling13%
Rippling13%04SAP SuccessFactors10%
SAP SuccessFactors10%05ADP Workforce Now4%
ADP Workforce Now4%06Oracle Fusion Cloud HCM2%
Oracle Fusion Cloud HCM2%07BambooHR2%
BambooHR2%08Deel0%
Deel0%09UKG Pro0%
UKG Pro0%10ADP SmartCompliance0%
ADP SmartCompliance0%What they warned about
Zero 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, 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.
BambooHR50%
7 of 14 labels negative · 5 of 14 models · 3 hard negative
“tools like Gusto, BambooHR, or Zenefits ... large enterprises often try to force these tools upmarket during rapid expansions, which is a major mistake.” Gemini 3.5 Flash, negative prompt
Workday11%
5 of 44 labels negative · 5 of 14 models · 1 hard negative
“A high-profile class action against Workday alleges its AI-driven hiring tools systematically discriminated against Black applicants, older workers and people with disabilities.” Claude Haiku 4.5, negative prompt
Gusto75%
3 of 4 labels negative · 3 of 14 models · 3 hard negative
“Popular, user-friendly tools like Gusto, BambooHR, or Zenefits are phenomenal for small-to-mid-sized businesses. However, large enterprises often try to force these tools upmarket... a major mistake.” Gemini 3.5 Flash, negative prompt
Zenefits38%
3 of 8 labels negative · 3 of 14 models · 3 hard negative
“tools like Gusto, BambooHR, or Zenefits ... large enterprises often try to force these tools upmarket during rapid expansions, which is a major mistake.” Gemini 3.5 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
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. 1174 links across 313 sites, every framing counted. Ranked by the number of answers carrying the site or page. 4 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 · Guideflow39 answers · 40 citations · 10 models
34 answers · 44 citations · 12 models
vendor site · Gusto34 answers · 35 citations · 12 models
vendor site · G230 answers · 64 citations · 12 models
vendor site · HR Cloud23 answers · 28 citations · 9 models
vendor site · Rippling21 answers · 44 citations · 11 models
21 answers · 27 citations · 11 models
vendor site · Paycor21 answers · 21 citations · 9 models
20 answers · 21 citations · 9 models
20 answers · 20 citations · 8 models
19 answers · 27 citations · 10 models
vendor site · HiBob14 answers · 22 citations · 7 models
Pages the answers cite
The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.
34 answers · 12 models
32 answers · 10 models
20 answers · 8 models
20 answers · 9 models
20 answers · 9 models
17 answers · 9 models
15 answers · 7 models
12 answers · 8 models
11 answers · 9 models
10 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 hr compliance software”, “hr compliance software”, “hr compliance tools”. 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 |
|---|---|---|---|---|---|---|---|---|
| Workday workday.com | 23% | 383 | 1,220,000 | 23,848 | 2,213,450 | 80 | ||
| NAVEX PolicyTech navex.com | 15% | 15 | 140 | 8 | 21,159 | 48 | 7 | |
| Rippling rippling.com | 13% | 1260 | 301,000 | 17,886 | 712,399 | $42,013 | 115 | 3 |
| SAP parent site SAP SuccessFactors 10% | 10% | 477 | 135,000 | 74,309 | ||||
| Blissbook blissbook.com | 6% | 24 | 590 | 0 | 2,182 | 7 | ||
| ADP parent site ADP Workforce Now 4%, ADP SmartCompliance 0% | 4% | 592 | 2,740,000 | 23,897 | ||||
| Ceridian dayforce.com Dayforce 4% | 4% | 278 | 450,000 | 2,983 | 208,252 | 38 | 6 | |
| AirMason airmason.com | 4% | 19 | 480 | 0 | 5,112 | 9 | ||
| Oracle parent site Oracle Fusion Cloud HCM 2% | 2% | 283 | 450,000 | 66,611 | ||||
| Mitratech mitratech.com Mitratech Mineral 2% | 2% | 34 | 3,600 | 159 | 46,305 company | $10,768 | 106 | 4 |
Google's top ten for the three searches hold 24 sites; 2 of them are among the sites the models cited here (peoplemanagingpeople.com, rippling.com). The first result for “best hr compliance software” is reddit.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 HR compliance software for an enterprise B2B company?”Paraphrase“Which employee handbook and policy management tool would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade HR compliance tools and how do they differ?”Budget-constrained“What is the best HR compliance 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 HR compliance software. What should we look at?”Negative“Which HR compliance tools should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5no first choiceAirMason, NAVEX PolicyTechChangedWorkdayWorkdayno first choiceagainst: Workday
Three alternatives
ADP Workforce Now, Mitratech Mineral, TrainualFour alternatives
ADP SmartCompliance, Deel, Oracle Fusion Cloud HCM, RipplingTwo alternatives
ADP SmartCompliance, SAP SuccessFactorsGPT-5.4 miniWorkdayNAVEX PolicyTechChangedSAP SuccessFactors, WorkdaySAP SuccessFactorsagainst: Workdayno first choicenothing named
Four alternatives
Deel, G-P, SAP SuccessFactors, UKG ProOne alternative
HandbookOne alternative
ADPOne alternative
Oracle Fusion Cloud HCMGemini 3.5 FlashRipplingBlissbookChangedno first choiceSixFiftyno first choiceagainst: BambooHR, Gusto, Workday, Zenefits
Four alternatives
ADP, Deel, HR Acuity, SixFiftyFive alternatives
AirMason, ConvergePoint, Mitratech PolicyHub, NAVEX PolicyTech, XoraliaSeven alternatives
ADP Vantage HCM, Dayforce, Deel, Papaya Global, Paycom, Rippling, WorkdayTwo alternatives
ADP SmartCompliance, Mitratech MineralPerplexity SonarRipplingNAVEX PolicyTechChangedWorkdaySAP SuccessFactors, Workdayno first choiceagainst: BambooHR
Four alternatives
ADP Global Payroll, ADP Workforce Now, Deel, Mitratech MineralThree alternatives
Blissbook, ConvergePoint Policy Management, Document360Six alternatives
ADP SmartCompliance, ADP Workforce Now, Mitratech, Oracle Fusion Cloud HCM, Rippling, SAP SuccessFactorsOne alternative
ADP Workforce NowGrok 4.1 FastWorkdayDiligent OneChangedagainst: AirMason, Blissbook, ConnecteamWorkdayagainst: BambooHR, RipplingADP Workforce Nowagainst: BambooHR, Ripplingno first choiceagainst: BambooHR, BrightHR, G-P, HiBob, Personio, Zenefits
Three alternatives
ADP Workforce Now, Dayforce, RipplingFour alternatives
MetricStream, Mitratech Mineral, NAVEX PolicyTech, PowerDMSFour alternatives
ADP Workforce Now, Oracle Fusion Cloud HCM, SAP SuccessFactors, UKG ProThree alternatives
Paycor, UKG Pro/Ready, WorkdayMistral SmallWorkdayDocument360ChangedSAP SuccessFactors, WorkdayBambooHRno first choiceagainst: Dayforce, SAP SuccessFactors, UKG Pro, Workday
Four alternatives
ADP Workforce Now, G-P, RemotePass, RipplingOne alternative
SurroundlyThree alternatives
Deel, Oracle Fusion Cloud HCM, UKG ProFour alternatives
HiBob, SAP SuccessFactors, UKG Pro, WorkdayDeepSeek V4 FlashRipplingNAVEX PolicyTechChangedWorkdayNAVEX PolicyTech, Workdayno first choiceagainst: BambooHR, Gusto, Zenefits
Three alternatives
ADP Workforce Now, SAP SuccessFactors, WorkdayTwo alternatives
Blissbook, PowerDMSFour alternatives
ADP Workforce Now, Deel, Rippling, SAP SuccessFactorsOne alternative
ADP Workforce NowLlama 4 MaverickRippling, ZenefitsAirMasonChangedno first choiceDayforceno first choiceagainst: Dayforce, SAP SuccessFactors, UKG Pro, Workday
One alternative
GuideflowTwo alternatives
BambooHR, JustworksQwen 3.7 FlashWorkdayDocapoint, NAVEX PolicyTechChangedagainst: Documents365SAP SuccessFactors, WorkdaySAI360no first choiceagainst: BambooHR, Gusto
Five alternatives
ADP, Ceridian, Rippling, SAP SuccessFactors, UKG ProOne alternative
PowerDMSThree alternatives
ADP SmartCompliance, Oracle Fusion Cloud HCM, UKG ProFour alternatives
NAVEX, OnCourse Learning, SAP SuccessFactors, WorkdayKimi K2SAP SuccessFactors, WorkdayBlissbook, RipplingChangedADP SmartCompliance®Mitratech Mineralagainst: Oracle Fusion Cloud HCM, SAP SuccessFactorsno first choiceagainst: Paycom, Rippling
Three alternatives
ADP Workforce Now, Oracle Fusion Cloud HCM, UKG Pro / UKG DimensionsThree alternatives
AirMason, Oracle Fusion Cloud HCM, WorkdayFour alternatives
Oracle Fusion Cloud HCM, SAP SuccessFactors, UKG Pro, WorkdayThree alternatives
ADP SmartCompliance®, UKG Pro, WorkdayGLM 4.7 FlashXSAP SuccessFactors, WorkdayBlissbookChangedWorkdayRipplingno first choiceagainst: Tyler Technologies, UKG/Kronos
Three alternatives
ADP SmartCompliance®, Deel, RemoteFour alternatives
Deel, NAVEX PolicyTech, SixFifty, WorkivaFive alternatives
ADP Workforce Now, BambooHR, Deel, Rippling, UKG ProThree alternatives
ComplianceWorkHR, Deel, JustworksMiniMax M2.5RipplingNAVEX PolicyTechChangedWorkday Human Capital ManagementOracle Fusion Cloud HCM, Workdayno first choicenothing named
Three alternatives
ADP Workforce Now, Zenefits, greytHRTwo alternatives
Mitratech PolicyHub, OnspringSeven alternatives
ADP, Dayforce, Deel, Oracle Fusion Cloud HCM, Papaya Global, Rippling, SAP SuccessFactorsFour alternatives
ADP Workforce Now, Deel, HR Cloud, SAP SuccessFactorsGPT-6 LunaNAVEX PolicyTechNAVEX One Policy & Procedure ManagementChangedno first choiceCompliance Worksno first choicenothing named
Four alternatives
Mitratech Mineral, Oracle Fusion Cloud HCM, SAP SuccessFactors, WorkdayThree alternatives
ConvergePoint, Mineral's Smart Employee Handbook Plus, Mitratech PolicyHubOne alternative
SixFiftyMuse Glimmer 30BADP Workforce Now, DayforceWorkdayChangedWorkdaySAP SuccessFactors, Workdayagainst: Deelno first choiceagainst: ComplyRight, Kronos, Paylocity, Rippling, Tyler Technologies, UKG Pro
Four alternatives
Deel, G-P Globalization Partners, Rippling, WorkdayTwo alternatives
MetricStream, SAP SuccessFactorsFour alternatives
ADP Workforce Now, Deel Enterprise HR / Compliance, Oracle Fusion Cloud HCM, SAP SuccessFactorsThree alternatives
Mitratech, SixFifty, Workday GOBold 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 08:43 | no | 0 | 4 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:47 | yes | 3 | 6 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 12:18 | yes | 14 | 64 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 07:48 | yes | 18 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:29 | yes | 23 | 9 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:09 | yes | 13 | 6 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:23 | yes | 23 | 33 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:22 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:30 | no | 0 | 30 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:22 | yes | 20 | 18 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:38 | yes | 23 | 84 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:37 | yes | 10 | 23 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:37 | yes | 3 | 13 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 07:48 | yes | 14 | 18 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:40 | yes | 17 | 10 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:23 | yes | 2 | 4 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:10 | yes | 22 | 25 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 09:18 | yes | 19 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:08 | yes | 25 | 7 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:47 | yes | 5 | 3 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:55 | yes | 25 | 30 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:12 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:48 | yes | 10 | 35 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:27 | yes | 19 | 41 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:20 | yes | 22 | 49 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:08 | yes | 11 | 22 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:12 | yes | 4 | 14 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:20 | yes | 21 | 23 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:38 | yes | 9 | 9 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:46 | yes | 3 | 6 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:02 | yes | 12 | 32 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 09:14 | yes | 19 | 5 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:51 | yes | 22 | 8 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:50 | yes | 25 | 17 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:37 | yes | 24 | 32 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:47 | yes | 5 | 4 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 07:47 | yes | 25 | 59 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:21 | yes | 24 | 30 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:41 | yes | 25 | 136 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:41 | yes | 10 | 25 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:19 | yes | 8 | 26 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:32 | yes | 23 | 55 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:21 | yes | 19 | 8 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:46 | yes | 3 | 8 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:13 | yes | 23 | 27 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 08:24 | yes | 20 | 4 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:47 | yes | 20 | 11 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:15 | yes | 5 | 46 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:53 | yes | 21 | 33 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:59 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:44 | no | 0 | 41 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 12:06 | yes | 22 | 28 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:29 | yes | 9 | 40 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:26 | yes | 17 | 92 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:45 | yes | 2 | 18 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:03 | yes | 20 | 38 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:51 | yes | 18 | 15 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:34 | no | 0 | 7 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:52 | no | 0 | 15 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 10:05 | yes | 20 | 8 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:01 | yes | 25 | 11 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:43 | no | 0 | 6 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:05 | yes | 25 | 35 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:43 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:38 | no | 0 | 33 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:55 | yes | 20 | 24 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:49 | yes | 15 | 44 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:15 | yes | 15 | 30 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:31 | yes | 4 | 22 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 12:03 | yes | 15 | 32 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:08 | yes | 19 | 12 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:03 | yes | 7 | 10 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:15 | yes | 18 | 25 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 07:44 | yes | 20 | 3 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:04 | yes | 24 | 15 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:46 | yes | 5 | 5 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:17 | yes | 24 | 35 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:11 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:37 | yes | 5 | 31 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:29 | yes | 22 | 29 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:37 | yes | 24 | 40 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:26 | yes | 13 | 34 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:54 | yes | 5 | 19 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:40 | yes | 25 | 29 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
Deel HR read as Deel
Mineral (formerly ThinkHR) read as Mitratech Mineral
Mineral by Mitratech read as Mitratech Mineral
Mitratech Mineral Elite read as Mitratech Mineral
NAVEX One read as NAVEX PolicyTech
Oracle HCM read as Oracle Fusion Cloud HCM
Oracle HCM Cloud read as Oracle Fusion Cloud HCM
Oracle HCM Cloud (Fusion) read as Oracle Fusion Cloud HCM
Paychex read as Paychex Flex
Workday HCM read as Workday
Unresolved, counted raw
ADP Compliance
ADP SmartCompliance®
Compliance Works
ComplianceWorkHR
ConvergePoint Policy Management
Deel Enterprise HR / Compliance
Diligent One
DirectEmployers Association
Docapoint
Documents365
G-P Globalization Partners
Handbook
Littler ComplianceHR
NAVEX One Policy & Procedure Management
NetSuite SuitePeople
Onspring
Surroundly
factoHR
Discontinued, still offered
No shut-down product was recommended here.