People analytics
Asked as “people analytics platform”, and as “HR analytics software”, on behalf of a mid-market B2B company. 58 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
22%
Contested · ChartHop 21%
22Crunchr21ChartHop19HiBob38others
22% of first choices, contested.
Since September 2026▲+8Since September 2026: 13% → 21%, +8 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Crunchr held the lead, +8 points on 13%, 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
BambooHR53%Clear leader▲+13Since September 2026: 41% → 54%, +13 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →Mid-market
Crunchr22%Contested▲+8Since September 2026: 15% → 23%, +8 points. Inside the 13-point floor: within noise. Read over the models both editions asked.This pageEnterprise
Visier57%Clear leader▼−9Since September 2026: 65% → 56%, −9 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →
BambooHR53%Clear leader▲+13Since September 2026: 41% → 54%, +13 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →Mid-marketCrunchr22%Contested▲+8Since September 2026: 15% → 23%, +8 points. Inside the 13-point floor: within noise. Read over the models both editions asked.This pageEnterpriseVisier57%Clear leader▼−9Since September 2026: 65% → 56%, −9 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for a mid-market B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Crunchr22%17%48accepted challenger▲+8Since September 2026: 13% → 21%, +8 points. Inside the 13-point floor: within noise. Read over the models both editions asked.13% → 21%
Crunchr22%17%48accepted challenger▲+8Since September 2026: 13% → 21%, +8 points. Inside the 13-point floor: within noise. Read over the models both editions asked.13% → 21%02
ChartHop21%12%43accepted challenger▲+9Since September 2026: 8% → 17%, +9 points. Inside the 13-point floor: within noise. Read over the models both editions asked.8% → 17%
ChartHop21%12%43accepted challenger▲+9Since September 2026: 8% → 17%, +9 points. Inside the 13-point floor: within noise. Read over the models both editions asked.8% → 17%03
HiBob19%10%29accepted challenger▲+8Since September 2026: 15% → 23%, +8 points. Inside the 13-point floor: within noise. Read over the models both editions asked.15% → 23%
HiBob19%10%29accepted challenger▲+8Since September 2026: 15% → 23%, +8 points. Inside the 13-point floor: within noise. Read over the models both editions asked.15% → 23%04BambooHR9%16%32accepted challenger▼−5Since September 2026: 13% → 9%, −5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.13% → 9%
BambooHR9%16%32accepted challenger▼−5Since September 2026: 13% → 9%, −5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.13% → 9%05
Rippling3%5%22accepted challenger=heldSince September 2026: 4% → 4%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 4%
Rippling3%5%22accepted challenger=heldSince September 2026: 4% → 4%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 4%06Orgnostic3%0%10accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 2%
Show the five products at 0%, ordered by negative rate
11
Workday People Analytics0%44%34criticized 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 People Analytics0%44%34criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%09Visier0%41%46criticized challenger▼−11Since September 2026: 11% → 0%, −11 points. Inside the 13-point floor: within noise. Read over the models both editions asked.11% → 0%
Visier0%41%46criticized challenger▼−11Since September 2026: 11% → 0%, −11 points. Inside the 13-point floor: within noise. Read over the models both editions asked.11% → 0%10
One Model0%25%20criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
One Model0%25%20criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%08
Lattice0%10%20accepted challenger▼−4Since September 2026: 4% → 0%, −4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 0%
Lattice0%10%20accepted challenger▼−4Since September 2026: 4% → 0%, −4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 0%07
Culture Amp0%5%21accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 0%
Culture Amp0%5%21accepted 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 fifteen head-to-head pages: the top six products, each against each
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 →
0102030405O06
0708091011Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01Crunchr22%
Crunchr22%02ChartHop21%
ChartHop21%03HiBob19%
HiBob19%04BambooHR9%
BambooHR9%05Rippling3%
Rippling3%06Orgnostic3%
07Culture Amp0%
Culture Amp0%08Lattice0%
Lattice0%09Visier0%
Visier0%10One Model0%
One Model0%11Workday People Analytics0%
Workday People Analytics0%What they warned about
Six of fourteen models held their first choice under the paraphrase. Gemini 3.5 Flash, Perplexity Sonar, Grok 4.1 Fast, Mistral Small, DeepSeek V4 Flash, GLM 4.7 FlashX, MiniMax M2.5 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.
Visier41%
19 of 46 labels negative · 11 of 14 models · 5 hard negative
“"Avoid or be cautious about: Enterprise-grade dedicated people-analytics platforms (Visier, Workday People Analytics, One Model, ChartHop, Crunchr...)"” Muse Glimmer 30B, negative prompt
Workday People Analytics44%
15 of 34 labels negative · 10 of 14 models · 3 hard negative
“listed as a criticized challenger alongside Visier ... "Limited outside the Workday ecosystem" and "Premium pricing"” Muse Glimmer 30B, negative prompt
Crunchr17%
8 of 48 labels negative · 7 of 14 models · 3 hard negative
“criticized challenger in SMB modelling and included in the enterprise-grade caution list” Muse Glimmer 30B, negative prompt
ChartHop12%
5 of 43 labels negative · 5 of 14 models · 1 hard negative
“avoid enterprise-focused tools like ... ChartHop ... ChartHop ($2–$8/employee/month) or Lattice may lack the enterprise depth needed for thousands of users.” Mistral Small, 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. 1047 links across 259 sites, every framing counted. Ranked by the number of answers carrying the site or page. 35 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 · Workhuman37 answers · 40 citations · 11 models
vendor site · Ordio36 answers · 40 citations · 11 models
vendor site · HiBob31 answers · 53 citations · 12 models
28 answers · 38 citations · 10 models
27 answers · 27 citations · 11 models
vendor site · HRBench25 answers · 29 citations · 10 models
24 answers · 26 citations · 10 models
vendor site · G222 answers · 23 citations · 9 models
vendor site · Leapsome21 answers · 22 citations · 11 models
vendor site · Eletive20 answers · 20 citations · 10 models
19 answers · 19 citations · 9 models
vendor site · Personio18 answers · 18 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.
36 answers · 11 models
36 answers · 11 models
27 answers · 11 models
26 answers · 11 models
23 answers · 10 models
20 answers · 10 models
20 answers · 10 models
19 answers · 9 models
18 answers · 9 models
18 answers · 8 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 people analytics platform”, “people analytics platform”, “people analytics 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 |
|---|---|---|---|---|---|---|---|---|
| Crunchr crunchr.com | 22% | 104 | 390 | 3 | 1,411 | 1 | 7 | |
| ChartHop charthop.com ChartHop 21%, ChartHop Core 2% | 22% | 365 | 2,900 | 16 | 6,238 | 0 | ||
| HiBob hibob.com | 19% | 337 | 14,800 | 154 | 266,143 | $54 | 120 | |
| BambooHR bamboohr.com | 9% | 1082 | 90,500 | 551 | 1,055,247 | $44,698 | 106 | |
| Rippling rippling.com | 3% | 1260 | 301,000 | 17,886 | 712,399 | $42,013 | 115 | |
| Orgnostic | 3% | 20 | 0 | |||||
| Factorial factorialhr.com | 3% | 123 | 27,100 | 304,748 | 141,409 | 1 | ||
| Gusto gusto.com | 2% | 870 | 673,000 | 10,560 | 1,629,483 | 118 | ||
| Looker Studio | 2% | 40,500 | 452 | |||||
| Zoho parent site Zoho People 2% | 2% | 277 | 6,600 | 50 |
Google's top ten for the three searches hold 14 sites; 3 of them are among the sites the models cited here (hr.university, peoplemanagingpeople.com, personio.com). The first result for “best people analytics platform” is peoplemanagingpeople.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 people analytics platform for a mid-market B2B company?”Paraphrase“Which HR analytics software would you recommend to a mid-sized B2B company?”Comparative“What are the top people analytics platforms and how do they differ?”Budget-constrained“What is the best people analytics platform for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a people analytics platform. What should we look at?”Negative“Which people analytics platforms should I avoid or be cautious about?”
Claude Haiku 4.5HiBobHiBobHeldno first choiceChartHopno first choicenothing named
Two alternatives
Rippling, VisierFour alternatives
Crunchr, Namely, Paycor, RipplingFive alternatives
Crunchr, Deel HR, IntelliHR, Leapsome, PeopleInsightGPT-5.4 miniHiBobagainst: ZoiosHiBobHeldagainst: Workday People AnalyticsVisieragainst: Looker, Microsoft Power BI, TableauPeopleInsightno first choicenothing named
Two alternatives
Crunchr, PeopleInsightTwo alternatives
Culture Amp, RipplingFive alternatives
ChartHop, Orgvue, Peoplebox, Workday People Analytics, Workday Prism AnalyticsOne alternative
BambooHRGemini 3.5 FlashKnoeticHiBobChangedVisieragainst: HiBob, Rippling, Workday People AnalyticsChartHop, Looker Studioagainst: Crunchr, One Model, VisierHiBob, Ripplingagainst: Hubstaff, Microsoft Power BI, One Model, Oracle Fusion, SAP SuccessFactors, Tableau, Time Doctor, Visier, We360.ai, Workday People Analytics, Workday Prism Analytics
Three alternatives
ChartHop, Culture Amp, VisierThree alternatives
ChartHop, Lattice, RipplingFour alternatives
ChartHop, Crunchr, Culture Amp, One ModelFour alternatives
BambooHR, Microsoft Power BI, Rippling, Zoho AnalyticsFive alternatives
ChartHop, Culture Amp, Lattice, Orgnostic, VisierPerplexity SonarHiBobCrunchrChangedVisieragainst: TeramindBambooHRagainst: ChartHop, Crunchrno first choiceagainst: Crunchr, Culture Amp, Lattice, Leapsome, Oracle Fusion HCM Analytics, SAP SuccessFactors, Tableau, Visier, Workday People Analytics
One alternative
CrunchrTwo alternatives
HiBob, PaycorFive alternatives
ChartHop, Crunchr, Lattice, Rippling, Workhuman iQOne alternative
RipplingGrok 4.1 FastChartHopagainst: ADP, Workday People AnalyticsRipplingChangedagainst: VisierCrunchr, VisierZoho Peopleagainst: Crunchr, VisierHiBob, Personioagainst: Workday People Analyticsagainst: Microsoft Power BI, Tableau, Visier, Workday People Analytics
Five alternatives
BambooHR, Culture Amp, Eletive, Lattice, VisierFour alternatives
BambooHR, Crunchr, HiBob, PaycorThree alternatives
ChartHop, One Model, Workday People AnalyticsThree alternatives
BambooHR, ChartHop, RipplingFour alternatives
Crunchr, Darwinbox, Lattice, VisierMistral SmallChartHop, CrunchrCrunchr, HiBobChangedVisierBambooHRagainst: Visier, Workday People Analyticsno first choiceagainst: ChartHop, Crunchr, Eletive, Lattice, Microsoft Viva Glint, One Model, Visier, Workday People Analytics, Workhuman iQ
Two alternatives
BambooHR, EletiveTwo alternatives
ADP Workforce Now, HRBenchThree alternatives
ChartHop, Eletive, Microsoft Viva InsightsTwo alternatives
Factorial, RipplingDeepSeek V4 FlashCrunchragainst: VisierHiBobChangedOne Model, Visieragainst: BambooHR, PersonioPeopleHumagainst: BambooHR, ChartHopCrunchr, PeoplePilotagainst: Visieragainst: ActivTrak, HiBob, Humanyze, Oracle Fusion Cloud HCM, Sociometric Solutions, Teramind, Time Doctor, Workday People Analytics
Two alternatives
ChartHop, Culture AmpFour alternatives
BambooHR, ChartHop, Crunchr, PaycorNine alternatives
Culture Amp, HiBob, Lattice, Microsoft Viva Glint, Microsoft Viva Insights, Oracle Fusion HCM Analytics, SAP SuccessFactors People Analytics, Workday Peakon, Workday People AnalyticsTwo alternatives
Factorial, Zoho PeopleFive alternatives
BambooHR, ChartHop, Culture Amp, Rippling, Workday People AnalyticsLlama 4 MaverickCrunchragainst: VisierCrunchrHeldno first choiceFactorialno first choiceagainst: ChartHop, Crunchr, Eletive, Microsoft Viva Glint, One Model, Visier, Workday People Analytics, Workhuman iQ
Two alternatives
Ordio, Workhuman iQTwo alternatives
BambooHR, HiBobOne alternative
Microsoft ExcelQwen 3.7 FlashChartHopagainst: SAP SuccessFactorsChartHopHeldagainst: Visier, Workday People AnalyticsVisierBambooHRno first choiceagainst: BambooHR, Factorial, Sage HR, Visier, Workday Prism Analytics
Four alternatives
HiBob, Lattice, One Model, VisierTwo alternatives
Crunchr, OrgnosticFive alternatives
Crunchr, Culture Amp, Eightfold AI, Orgnostic, Workday People AnalyticsSix alternatives
15Five, Gusto, HiBob, Looker Studio, Microsoft Power BI, ZenefitsKimi K2ChartHopChartHopHeldagainst: VisierVisierChartHop CoreCrunchragainst: Amplitude, Crossover for Work / Worksmart, Teramind
Two alternatives
HiBob, LatticeThree alternatives
Crunchr, HiBob, RipplingSeven alternatives
ChartHop, Crunchr, Lattice, Microsoft Viva Insights, One Model, SAP SuccessFactors People Analytics, Workday People Analytics / Prism AnalyticsFive alternatives
BambooHR, Deel Core, Looker Studio, Power BI Desktop, RipplingThree alternatives
ChartHop, Lattice, OrgnosticGLM 4.7 FlashXCrunchr, Orgnosticagainst: Visier, Workday People AnalyticsHRBenchChangedVisierBambooHRno first choiceagainst: BambooHR, Crunchr, HireVue, Microsoft Power BI, Modern Hire, Pymetrics, Tableau
Three alternatives
ChartHop, HiBob, WorklyticsTwo alternatives
ChartHop, CrunchrEight alternatives
BambooHR, Crunchr, Deel HR, Leapsome, One Model, SAP SuccessFactors Workforce Analytics, ThoughtSpot, Workday People AnalyticsThree alternatives
ChartHop, Looker Studio, RipplingMiniMax M2.5Crunchragainst: VisierHiBobChangedVisierFactorialno first choiceagainst: Eightfold AI, HireVue, Microsoft Viva Insights, Pymetrics, Visier
Four alternatives
ChartHop, Culture Amp, Workday People Analytics, Workhuman iQFour alternatives
ADP Workforce Now, Crunchr, Dayforce, HRBenchSeven alternatives
ADP Workforce Now, BambooHR, ChartHop, Crunchr, Culture Amp, ThoughtSpot, Workday People AnalyticsTwo alternatives
BambooHR, RipplingGPT-6 LunaChartHopChartHopHeldagainst: HiBobOne Model, VisierMicrosoft Power BIno first choiceagainst: Apploye, Buddy Punch, Deputy, Desklog, Hubstaff, Monitask, Time Doctor, Vericlock, When I Work
Three alternatives
HiBob, Lattice, VisierTwo alternatives
Visier, Workday People AnalyticsFive alternatives
ChartHop, Oracle Fusion HCM Analytics, Orgvue, SAP People Intelligence, Workday People AnalyticsTwo alternatives
ChartHop Core, Zoho PeopleMuse Glimmer 30BChartHop, CrunchrCrunchrChangedagainst: BambooHR, Workday People AnalyticsVisierBambooHR, Gustoagainst: EletiveChartHop, Crunchr, Orgnosticagainst: ChartHop, Crunchr, Eletive, Microsoft Power BI, Microsoft Viva Glint, One Model, Visier, Workday People Analytics, Workhuman iQ
Four alternatives
Culture Amp, Ordio, Paylocity Analytics, Workhuman iQFive alternatives
ChartHop, Crunchr, Orgvue, Workday People Analytics, Workday Prism AnalyticsThree alternatives
ChartHop, Crunchr, EngagedlyFour alternatives
BambooHR, Rippling, Visier, Workday People AnalyticsBold 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 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:20 | yes | 4 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:50 | yes | 15 | 23 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 12:00 | yes | 20 | 4 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:05 | yes | 20 | 8 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:57 | yes | 10 | 11 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:01 | yes | 16 | 23 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:03 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:27 | no | 0 | 29 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:47 | yes | 13 | 24 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:08 | yes | 13 | 65 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:43 | yes | 8 | 29 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:29 | yes | 4 | 9 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 07:29 | yes | 13 | 13 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:14 | yes | 16 | 10 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:27 | yes | 3 | 6 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 12:16 | yes | 20 | 61 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 09:24 | yes | 18 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:40 | yes | 21 | 11 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:24 | yes | 9 | 5 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 12:02 | yes | 15 | 42 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:00 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:46 | yes | 8 | 38 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:52 | yes | 17 | 20 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:38 | yes | 14 | 21 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:00 | yes | 7 | 17 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:02 | yes | 4 | 18 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 07:57 | yes | 11 | 17 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:59 | yes | 9 | 8 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:48 | yes | 6 | 8 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:16 | yes | 15 | 24 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 10:56 | yes | 20 | 5 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:32 | yes | 21 | 9 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:02 | yes | 12 | 9 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 12:01 | yes | 25 | 55 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:08 | yes | 5 | 1 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:54 | yes | 10 | 22 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:04 | yes | 20 | 33 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:22 | yes | 13 | 169 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:11 | yes | 21 | 34 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:58 | yes | 7 | 29 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:42 | yes | 14 | 26 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 12:00 | yes | 9 | 7 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:52 | yes | 3 | 4 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:26 | yes | 17 | 21 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 08:32 | yes | 20 | 3 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:30 | yes | 24 | 8 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:17 | yes | 5 | 3 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:20 | yes | 25 | 35 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:16 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:05 | no | 0 | 38 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:37 | yes | 17 | 25 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:58 | yes | 24 | 25 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:29 | yes | 15 | 20 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:22 | yes | 3 | 12 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:37 | yes | 13 | 20 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:16 | no | 0 | 6 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 12:07 | no | 0 | 9 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:09 | yes | 9 | 23 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 11:43 | yes | 36 | 9 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:32 | yes | 19 | 8 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:06 | no | 0 | 10 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:30 | yes | 17 | 58 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:28 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:36 | no | 0 | 36 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:20 | yes | 18 | 31 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:33 | yes | 24 | 37 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:10 | no | 0 | 55 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:05 | yes | 2 | 17 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:03 | yes | 13 | 25 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 12:06 | yes | 18 | 9 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:10 | yes | 6 | 8 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:19 | yes | 12 | 26 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 12:03 | yes | 19 | 5 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:14 | yes | 20 | 8 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:17 | yes | 5 | 4 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:12 | yes | 22 | 49 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:05 | yes | 7 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:22 | yes | 10 | 46 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:23 | yes | 25 | 34 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:13 | yes | 23 | 158 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:11 | yes | 24 | 57 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:31 | yes | 2 | 20 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:25 | yes | 15 | 28 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 read as Deel HR
Glint (Microsoft) read as Microsoft Viva Glint
Oracle read as Oracle Fusion HCM Analytics
Oracle HCM read as Oracle Fusion Cloud HCM
Power BI read as Microsoft Power BI
Qualtrics read as Qualtrics EmployeeXM
Workday read as Workday People Analytics
Workday Prism read as Workday Prism Analytics
Workhuman read as Workhuman iQ
Unresolved, counted raw
ADP's DataCloud
Amplitude
Apache Superset
Crossover for Work / Worksmart
Deel Core
Gartner Peer
Grafana
Microsoft Excel
Power BI Desktop
Qualtrics Employ
R/Python
Shapes
Sociometric Solutions
Zoios
Discontinued, still offered
No shut-down product was recommended here.