People analytics for small business buyers
Asked as “people analytics platform”, and as “HR analytics software”, on behalf of a small B2B company. 59 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
53%
Clear leader
53BambooHR08ChartHop07Rippling32others
53% of first choices, clear leader.
Since September 2026▲+13Since September 2026: 41% → 54%, +13 points. Inside the 13-point floor: within noise. Read over the models both editions asked.BambooHR held the lead, +13 points on 41%, 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.This pageMid-market
Crunchr22%Contested▲+8Since September 2026: 15% → 23%, +8 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →Enterprise
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.This pageMid-marketCrunchr22%Contested▲+8Since September 2026: 15% → 23%, +8 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →EnterpriseVisier57%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 small B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01BambooHR53%3%64endorsed leader▲+13Since September 2026: 41% → 54%, +13 points. Inside the 13-point floor: within noise. Read over the models both editions asked.41% → 54%
BambooHR53%3%64endorsed leader▲+13Since September 2026: 41% → 54%, +13 points. Inside the 13-point floor: within noise. Read over the models both editions asked.41% → 54%02
ChartHop8%28%39criticized challenger▲+8Since September 2026: 2% → 10%, +8 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 10%
ChartHop8%28%39criticized challenger▲+8Since September 2026: 2% → 10%, +8 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 10%03
Rippling7%0%38accepted challenger▼−2Since September 2026: 10% → 8%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.10% → 8%
Rippling7%0%38accepted challenger▼−2Since September 2026: 10% → 8%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.10% → 8%04
Personio5%0%23accepted challenger▼−1Since September 2026: 5% → 4%, −1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.5% → 4%
Personio5%0%23accepted challenger▼−1Since September 2026: 5% → 4%, −1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.5% → 4%05
HiBob5%5%21accepted challenger▲+4Since September 2026: 2% → 6%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 6%
HiBob5%5%21accepted challenger▲+4Since September 2026: 2% → 6%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 6%06
Lattice3%12%26accepted challenger▼−4Since September 2026: 8% → 4%, −4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.8% → 4%
Lattice3%12%26accepted challenger▼−4Since September 2026: 8% → 4%, −4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.8% → 4%07
Factorial3%0%16accepted challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 4%
Factorial3%0%16accepted challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 4%08
Leapsome2%0%14accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%
Leapsome2%0%14accepted 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 eight products at 0%, ordered by negative rate
14
One Model0%95%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%95%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%15
Workday People Analytics0%95%19criticized challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 0%
Workday People Analytics0%95%19criticized challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 0%16Visier0%86%37criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
Visier0%86%37criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%12
Eletive0%75%12criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
Eletive0%75%12criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%13Crunchr0%65%23criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
Crunchr0%65%23criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%11
Culture Amp0%8%13accepted challenger▼−3Since September 2026: 3% → 0%, −3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.3% → 0%
Culture Amp0%8%13accepted challenger▼−3Since September 2026: 3% → 0%, −3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.3% → 0%09
Gusto0%6%17accepted challenger▼−5Since September 2026: 5% → 0%, −5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.5% → 0%
Gusto0%6%17accepted challenger▼−5Since September 2026: 5% → 0%, −5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.5% → 0%10
ThriveSparrow0%0%11accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
ThriveSparrow0%0%11accepted 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.
All fifteen head-to-head pages: the top six products, each against each
One product takes 53% of first choices here, so the chart would put fifteen markers in one corner and one at the far edge. The two measurements it plots are columns in the standing above: share, and the negative label rate. Six products carry a negative rate above 25% in this category.
What they warned about
Seven of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, Gemini 3.5 Flash, Mistral Small, Llama 4 Maverick, MiniMax M2.5, GPT-6 Luna and Muse Glimmer 30B changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Workday People Analytics95%
18 of 19 labels negative · 12 of 14 models · 13 hard negative
“platforms a small business should avoid or be extremely cautious about... Workday People Analytics... not designed as a standalone "people analytics" platform for small teams” GLM 4.7 FlashX, negative prompt
Visier86%
32 of 37 labels negative · 11 of 14 models · 14 hard negative
“**Visier-class platforms** if you only need basic headcount, turnover, or engagement reporting, because multiple guides position them as enterprise tools rather than first-line SMB tools.” Perplexity Sonar, negative prompt
One Model95%
19 of 20 labels negative · 10 of 14 models · 11 hard negative
“**One Model** if your data is not already unified across HRIS, payroll, performance, and exit systems, because implementation risk rises sharply” Perplexity Sonar, negative prompt
Crunchr65%
15 of 23 labels negative · 10 of 14 models · 9 hard negative
“**Crunchr** if you want a fast, low-maintenance setup, because it is also generally categorized as an enterprise-oriented analytics platform.” Perplexity Sonar, negative prompt
What they cite
Citations exist only for the models that return a source list: fourteen of the fourteen in this edition, and all six flagship models on the expanded tier.
Sites the answers cite
79 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 1086 links across 181 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.
42 answers · 63 citations · 12 models
vendor site · HiBob40 answers · 61 citations · 12 models
vendor site · Eletive38 answers · 38 citations · 11 models
vendor site · Ordio36 answers · 36 citations · 10 models
vendor site · Workhuman34 answers · 34 citations · 12 models
26 answers · 27 citations · 10 models
26 answers · 27 citations · 10 models
vendor site · Leapsome25 answers · 32 citations · 9 models
vendor site · FirstHR25 answers · 30 citations · 10 models
vendor site · CurrentWare25 answers · 25 citations · 10 models
vendor site · Engagedly24 answers · 26 citations · 12 models
vendor site · ThriveSparrow23 answers · 26 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.
38 answers · 11 models
36 answers · 10 models
31 answers · 11 models
28 answers · 12 models
24 answers · 10 models
24 answers · 12 models
24 answers · 10 models
23 answers · 10 models
23 answers · 10 models
23 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 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 |
|---|---|---|---|---|---|---|---|---|
| BambooHR bamboohr.com | 53% | 1082 | 90,500 | 551 | 1,055,247 | $44,698 | 106 | |
| ChartHop charthop.com ChartHop 8%, ChartHop Core 2% | 10% | 365 | 2,900 | 16 | 6,238 | 0 | ||
| Rippling rippling.com | 7% | 1260 | 301,000 | 17,886 | 712,399 | $42,013 | 115 | |
| Personio personio.com | 5% | 106 | 2,400 | 37 | 224,863 | 8 | ||
| HiBob hibob.com | 5% | 337 | 14,800 | 154 | 266,143 | $54 | 120 | |
| Zoho parent site Zoho People 5% | 5% | 277 | 6,600 | 50 | ||||
| Lattice lattice.com | 3% | 662 | 90,500 | 13,900 | 122,123 | $1,328 | 120 | 3 |
| Factorial factorialhr.com | 3% | 123 | 27,100 | 304,748 | 141,409 | 1 | ||
| Leapsome leapsome.com | 2% | 298 | 2,900 | 32 | 51,450 | $18,531 | 60 | |
| Looker Studio | 2% | 40,500 | 452 |
Google's top ten for the three searches hold 14 sites; 2 of them are among the sites the models cited here (hr.university, peoplemanagingpeople.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 small B2B company?”Paraphrase“Which HR analytics software would you recommend to a small business that sells to other businesses?”Comparative“What are the top people analytics platforms for a small team and how do they differ?”Budget-constrained“What is the best people analytics platform for a small company with a tight budget?”Scale-constrained“We are a 30 person company evaluating a people analytics platform. What should we look at?”Negative“Which people analytics platforms should a small business avoid or be cautious about?”
Claude Haiku 4.5LatticeBambooHRChangedno first choiceagainst: Excel, Google SheetsBambooHRno first choiceagainst: Crunchr, Eletive, HiBob, Orgvue, Workday People Analytics
Four alternatives
Crunchr, HiBob, Paycor, PersonioThree alternatives
Gusto, Rippling, Zoho PeopleFive alternatives
ActivTrak, BambooHR, Officevibe, Personio, StribeThree alternatives
ChartHop, PeopleHum, ZimyoGPT-5.4 miniBambooHRBambooHRHeldagainst: ChartHop, Lattice, Oracle Fusion HCM Analytics, Workday People AnalyticsVisieragainst: Workday People AnalyticsPeoplelogic's IMPACT planno first choicenothing named
Three alternatives
HiBob, Lattice, RipplingTwo alternatives
Gusto, RipplingTwo alternatives
ChartHop, TableauTwo alternatives
PeopleForce, PeopleInsightGemini 3.5 FlashHiBob, Ripplingagainst: One Model, VisierChartHopChangedagainst: VisierRipplingagainst: One Model, Visier, Workday People AnalyticsChartHop, Looker Studioagainst: One Model, VisierHiBob, Lattice, Leapsome, Ripplingagainst: One Model, Visieragainst: Crunchr, Looker, Microsoft Power BI, One Model, Oracle Fusion Analytics, SAP SuccessFactors People Analytics, Tableau, Visier, Workday People Analytics
Five alternatives
BambooHR, ChartHop, Culture Amp, Knoetic, LatticeFour alternatives
BambooHR, Culture Amp, Employee Cycle, RipplingSix alternatives
BambooHR, ChartHop, Culture Amp, HiBob, Lattice Analytics, PeoplePilotFive alternatives
BambooHR, Deel HR, Microsoft Power BI, PeopleInsight, RipplingTwo alternatives
ChartHop, Culture AmpPerplexity SonarBambooHRBambooHRHeldBambooHRagainst: Paychex, PeopleHumBambooHRagainst: Visierno first choiceagainst: ChartHop, Crunchr, Microsoft Viva Glint, One Model, Oracle Fusion HCM Analytics, Qualtrics EmployeeXM, SAP SuccessFactors, Visier, Workday People Analytics
Four alternatives
Crunchr, Lattice, Leapsome, PersonioTwo alternatives
Paychex, PaycorFour alternatives
Employment Hero, HiBob, Lattice, PersonioThree alternatives
Gusto, Personio, ThriveSparrowGrok 4.1 FastBambooHRagainst: VisierBambooHRHeldBambooHRagainst: VisierZoho PeopleBambooHRagainst: Visier, Workday People Analyticsagainst: ChartHop, Crunchr, Eletive, Microsoft Viva Glint, One Model, Visier, Workday People Analytics, Workhuman iQ
One alternative
CrunchrOne alternative
Zoho PeopleFour alternatives
Crunchr, Factorial, HiBob, PersonioOne alternative
BambooHRFour alternatives
Eletive, Leapsome, Paycor, ThriveSparrowMistral SmallBambooHR, PersonioFactorialChangedIntelliHR, ThriveSparrowagainst: Lattice, VisierBambooHRagainst: Visierno first choiceagainst: BambooHR, Eletive, Visier-class platforms
One alternative
RipplingTwo alternatives
BambooHR, PersonioTwo alternatives
ChartHop, CrunchrTwo alternatives
Factorial, RipplingDeepSeek V4 FlashBambooHRagainst: Crunchr, VisierBambooHRHeldagainst: GustoBambooHR, LeapsomeZoho Peopleagainst: Visier, Workday People AnalyticsBambooHR, ChartHop, Ripplingagainst: One Model, Visier, Workday People Analyticsagainst: Crunchr, Eletive, Microsoft Viva Glint, One Model, Visier, Workday People Analytics, Workhuman iQ
Four alternatives
CharlieHR, Factorial, HiBob, PersonioTwo alternatives
Personio, RipplingTwo alternatives
ChartHop, LatticeTwo alternatives
BambooHR, ChartHopTwo alternatives
Crunchr, OrgnosticLlama 4 MaverickBambooHR, RipplingFactorialChangedno first choiceBambooHR, Rippling reportingno first choiceagainst: BambooHR, Effy AI, Eletive, Lattice, Visier-class platforms
Four alternatives
Culture Amp, Eletive, Lattice, PersonioThree alternatives
BambooHR, Paylocity Analytics, PersonioTwo alternatives
Factorial, PeopleHumQwen 3.7 FlashBambooHRagainst: One Model, Visier, Workday People AnalyticsBambooHRHeldBambooHRBambooHRagainst: ChartHop, Crunchr, VisierChartHopagainst: Crunchr, Visier, Worklyticsagainst: ChartHop, Crunchr, One Model, Visier, Workday People Analytics, Workday Prism Analytics
Five alternatives
ChartHop, Crunchr, Deel HR, PeopleInsight, RipplingTwo alternatives
Factorial, GaugeThree alternatives
ChartHop, Culture Amp, LatticeThree alternatives
Factorial, Lattice, Looker StudioFour alternatives
BambooHR, HiBob, Orchestrated, RipplingKimi K2BambooHRBambooHRHeldBambooHRChartHopagainst: CrunchrBambooHR, HiBobagainst: ChartHop, Crunchr, Eletive, Microsoft Viva Glint, One Model, SAP SuccessFactors People Analytics, Visier, Workday People Analytics, Workhuman iQ
Three alternatives
HiBob, Lattice, TracefyHR AnalyticsTwo alternatives
Factorial, PersonioFive alternatives
DreamTeam, Gusto, Leapsome, Rippling, Zoho PeopleThree alternatives
Engagedly, Gusto, OrangeHRMTwo alternatives
Lattice, RipplingGLM 4.7 FlashXBambooHRagainst: Crunchr, One Model, VisierBambooHRHeldBambooHR, Personioagainst: One Model, VisierBambooHRagainst: ChartHop, Culture Amp, One Model, Visierno first choiceagainst: Microsoft Power BI, One Model, Orgvue, Visier, Workday People Analytics
Four alternatives
Basedash, HiBob, Metabase, WorkleapSix alternatives
Factorial, HiBob, Personio, Rippling, Sage HR, VisierThree alternatives
ChartHop, Lattice, WorklyticsTwelve alternatives
15Five, ActivTrak, Deel HR, Excel/Google Sheets, Google Data Studio, Gusto, Hubstaff, Lattice, Leapsome, Microsoft Power BI, Rippling, Zoho AnalyticsFour alternatives
BambooHR, Factorial, Personio, Sage HRMiniMax M2.5Personioagainst: EletiveBambooHRChangedBambooHR, GustoBambooHRno first choiceagainst: ChartHop, Crunchr, Eletive, Microsoft Viva Glint, One Model, Visier, Workday People Analytics
Two alternatives
Culture Amp, HiBobFour alternatives
ChartHop, Lattice, Personio, RipplingFour alternatives
HiBob, Personio, Rippling, ThriveSparrowThree alternatives
Gusto, OrangeHRM, Zoho PeopleGPT-6 LunaChartHop Coreagainst: VisierBambooHRChangedBambooHRZoho Peopleagainst: ChartHopno first choiceagainst: Microsoft Power BI, One Model, Oracle Fusion HCM Analytics, SAP SuccessFactors, Tableau, Visier, Workday People Analytics
Two alternatives
Gusto, RipplingFour alternatives
ChartHop, Culture Amp, Lattice, RipplingMuse Glimmer 30BBambooHRagainst: EletiveBambooHR, PersonioChangedagainst: VisierChartHop, PeopleInsightTalentHRagainst: ChartHop, Crunchrno first choiceagainst: ChartHop, Crunchr, One Model, Oracle Fusion HCM Analytics, SAP SuccessFactors, Visier, Workday People Analytics, Workday Prism Analytics
Three alternatives
Factorial, Gusto, RipplingTwo alternatives
Employment Hero, RipplingFour alternatives
BambooHR, Leapsome, Personio, ThriveSparrowTwo alternatives
BambooHR, Zoho PeopleFour alternatives
BambooHR, ChartHop, Justworks, LatticeBold 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 07:42 | yes | 9 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:36 | yes | 2 | 4 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:38 | yes | 19 | 29 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 08:06 | yes | 19 | 4 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:26 | yes | 21 | 11 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:05 | yes | 5 | 3 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:25 | yes | 23 | 29 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:12 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:43 | yes | 8 | 29 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:29 | yes | 19 | 19 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:54 | yes | 22 | 30 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:58 | yes | 9 | 16 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:09 | yes | 3 | 13 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:51 | yes | 14 | 17 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:06 | yes | 15 | 8 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:10 | no | 0 | 3 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:49 | yes | 22 | 28 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 07:37 | yes | 19 | 2 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:32 | yes | 24 | 6 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:50 | yes | 5 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:55 | yes | 25 | 25 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 07:39 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:21 | yes | 5 | 25 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:46 | yes | 18 | 19 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:07 | yes | 13 | 27 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:52 | yes | 10 | 36 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:09 | yes | 3 | 9 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:01 | yes | 13 | 20 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:59 | yes | 9 | 8 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:49 | yes | 7 | 11 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:56 | yes | 22 | 22 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 11:14 | yes | 20 | 7 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:59 | yes | 22 | 9 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:11 | yes | 5 | 8 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:01 | yes | 22 | 57 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 12:00 | yes | 5 | 3 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:21 | yes | 20 | 44 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:05 | yes | 12 | 23 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:59 | yes | 19 | 26 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:36 | yes | 18 | 27 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:17 | yes | 5 | 20 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:08 | yes | 22 | 37 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:42 | yes | 9 | 6 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:19 | yes | 3 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:57 | yes | 14 | 28 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 08:46 | yes | 20 | 3 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:42 | yes | 24 | 8 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:44 | yes | 5 | 3 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:28 | yes | 23 | 34 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:59 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:03 | yes | 17 | 85 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:49 | yes | 25 | 27 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:03 | yes | 24 | 56 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:24 | yes | 14 | 36 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:14 | yes | 3 | 15 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 12:04 | yes | 14 | 26 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:56 | no | 0 | 6 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:40 | no | 0 | 9 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:24 | yes | 11 | 24 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 10:21 | yes | 19 | 4 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:36 | yes | 16 | 9 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:41 | no | 0 | 6 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:00 | yes | 23 | 50 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:02 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:41 | yes | 5 | 33 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:41 | yes | 18 | 34 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:01 | yes | 15 | 15 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:34 | no | 0 | 10 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:39 | yes | 2 | 12 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:38 | yes | 14 | 25 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:42 | yes | 18 | 8 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:02 | yes | 8 | 6 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:41 | yes | 17 | 28 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 11:20 | yes | 19 | 5 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:37 | yes | 18 | 8 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:08 | yes | 5 | 3 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:30 | yes | 25 | 42 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:54 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:13 | yes | 10 | 28 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:13 | yes | 16 | 28 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:49 | yes | 21 | 126 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:23 | yes | 13 | 30 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:40 | yes | 4 | 18 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:15 | yes | 16 | 35 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
Oracle read as Oracle Fusion HCM Analytics
Power BI read as Microsoft Power BI
Qualtrics read as Qualtrics EmployeeXM
Workday read as Workday People Analytics
Unresolved, counted raw
Basedash
DreamTeam
Employee Cycle
Excel-based reporting
Gauge
Oracle Fusion Analytics
Orchestrated
Peoplelogic's IMPACT plan
Rippling reporting
Stribe
TracefyHR Analytics
Discontinued, still offered
No shut-down product was recommended here.