Index › HR › Workforce planning and analytics › People analytics › Enterprise · September 2026 Edition
People analytics for enterprise buyers
Asked as “people analytics platform”, and as “HR analytics software”, on behalf of an enterprise B2B company. 43 first choices recorded across the direct, paraphrase, budget and scale prompts, twelve models each.
Standing · first-choice share
65%
Clear leader
65Visier09ChartHop09Workday People Analytics16others
65% of first choices, clear leader.
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.
The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all twelve models, for an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrant
Show the five products at 0%, ordered by negative rate
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 headHead-to-head pages are published for mid-market buyers, so these open on mid-market figures, not enterprise.
All twenty-eight head-to-head pages: the top eight products, each against each
HiBob vs ChartHopHiBob vs LatticeHiBob vs RipplingHiBob vs Culture AmpCrunchr vs BambooHRCrunchr vs VisierCrunchr vs ChartHopCrunchr vs LatticeCrunchr vs RipplingCrunchr vs Culture AmpBambooHR vs VisierBambooHR vs ChartHopBambooHR vs LatticeBambooHR vs RipplingBambooHR vs Culture AmpVisier vs ChartHopVisier vs LatticeVisier vs RipplingVisier vs Culture AmpChartHop vs LatticeChartHop vs RipplingChartHop vs Culture AmpLattice vs RipplingLattice vs Culture AmpRippling vs Culture Amp
One product takes 65% of first choices here, so the chart would put eight 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. Zero products carry a negative rate above 25% in this category.
What they warned about
Six of twelve models held their first choice under the paraphrase. Claude Haiku 4.5, Gemini 3.5 Flash, Perplexity Sonar, Mistral Small, GLM 4.7 FlashX and MiniMax M2.5 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.
Visier21%
13 of 62 labels negative · 10 of 12 models
“Visier-class standalone tools — these are not “avoid” choices by default, but ... can be risky if your team lacks IT/data capacity” Perplexity Sonar, negative prompt
Workday People Analytics17%
8 of 46 labels negative · 7 of 12 models · 2 hard negative
“Platforms with Significant Integration & Performance Issues ... API limitations ... Performance issues: Slow report generation” GLM 4.7 FlashX, negative prompt
BambooHR86%
6 of 7 labels negative · 6 of 12 models · 6 hard negative
“lacks the advanced predictive workforce modeling, AI-powered insights, and scalability needed for large enterprises” Mistral Small, negative prompt
ChartHop21%
6 of 29 labels negative · 6 of 12 models · 4 hard negative
“Smaller tools like ChartHop ($2–$8/employee/month) or Lattice lack enterprise depth for thousands of users.” Grok 4.20, budget prompt
What they cite
Twelve of the twelve models returned a source list in this edition: four return the pages they cited and eight the search results they consulted.
Sites the answers cite
67 of 72 answers in this category came back with a source list, from 12 of 12 models: citations where the model returns them, or the search results it consulted. 1018 links across 270 sites, every framing counted. Ranked by the number of answers carrying the site or page.
31 answers · 36 citations · 9 models
vendor site · Workhuman30 answers · 32 citations · 11 models
vendor site · HRBench28 answers · 32 citations · 11 models
27 answers · 27 citations · 11 models
25 answers · 30 citations · 11 models
23 answers · 28 citations · 11 models
vendor site · Gartner21 answers · 38 citations · 7 models
vendor site · Eletive20 answers · 20 citations · 9 models
vendor site · ThriveSparrow20 answers · 20 citations · 8 models
vendor site · G217 answers · 17 citations · 9 models
vendor site · PeoplePilot16 answers · 17 citations · 8 models
16 answers · 16 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.
31 answers · 9 models
30 answers · 11 models
27 answers · 11 models
26 answers · 10 models
21 answers · 10 models
20 answers · 9 models
20 answers · 8 models
17 answers · 9 models
16 answers · 10 models
15 answers · 7 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 | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|
| Visier visier.com | 65% | 192 | 2,400 | 72 | 40,267 | 16 | |
| Workday parent site Workday People Analytics 9%, Workday HCM 5% | 14% | 211 | 1,220,000 | 23,848 | |||
| ChartHop charthop.com | 9% | 380 | 2,900 | 16 | 6,238 | 0 | |
| One Model onemodel.co | 5% | 82 | 880 | 1,191 | 2,190 | 18 | 2 |
| ADP parent site ADP Workforce Now 5%, ADP DataCloud 0% | 5% | 508 | 2,740,000 | 23,897 | |||
| Peoplelogic peoplelogic.ai | 2% | 2 | |||||
| Crunchr crunchr.com | 0% | 107 | 390 | 3 | 1,411 | 1 | 7 |
| SAP parent site SAP SuccessFactors 0%, SAP SuccessFactors Workforce Analytics 0%, SAP SuccessFactors People Analytics 0% | 0% | 389 | 135,000 | 74,309 | |||
| Culture Amp cultureamp.com | 0% | 354 | 14,800 | 121 | 174,918 | 35 | |
| AHA! | 0% |
Google's top ten for the three searches hold 14 sites; 3 of them are among the sites the models cited here (gartner.com, 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 an enterprise B2B company?”Paraphrase“Which HR analytics software would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade people analytics platforms and how do they differ?”Budget-constrained“What is the best people analytics platform 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 people analytics platform. What should we look at?”Negative“Which people analytics platforms should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5VisierVisier, Workday HCMChangedOne Model, VisierVisierno first choiceagainst: Microsoft Viva Insights
Three alternatives
One Model, Paylocity, SAP SuccessFactorsThree alternatives
ADP Workforce Now, Agentnoon, HiBobTwo alternatives
HiBob, Workday People AnalyticsTwo alternatives
Crunchr, Workday People AnalyticsGPT-5.4 miniVisierVisierHeldVisierPeoplelogicno first choiceagainst: ChartHop, Crunchr, Microsoft Fabric, SplashBI, Vemo, Visier
Four alternatives
ChartHop, Perceptyx, Qualtrics EmployeeXM, Workday People AnalyticsTwo alternatives
SAP SuccessFactors, Workday People AnalyticsSix alternatives
ChartHop, Culture Amp, Microsoft Viva Glint, Orgvue, SAP SuccessFactors People Analytics, Workday People AnalyticsOne alternative
MedalliaGemini 3.5 FlashOne Model, VisierVisierChangedVisieragainst: Microsoft Power BI, TableauVisieragainst: Microsoft Power BI, Tableauno first choiceagainst: BambooHR, ChartHop, Culture Amp, HiBob, Lattice, Microsoft Power BI, Personio, Qlik, SAP Analytics Cloud, Tableau, Workday Prism Analytics, Workhuman iQ
Three alternatives
Agile HR Analytics, Crunchr, Workday Prism AnalyticsFour alternatives
Illoominus, One Model, Workday People Analytics, Workday Prism AnalyticsThree alternatives
Crunchr, One Model, Workday People AnalyticsTwo alternatives
Crunchr, One ModelPerplexity SonarVisierVisier, Workday HCMChangedVisierVisierno first choiceagainst: BambooHR, ChartHop, Leapsome, One Model, Oracle Fusion HCM Analytics, SAP SuccessFactors People Analytics, Visier, Workday People Analytics
Three alternatives
One Model, SAP SuccessFactors, Workday People AnalyticsTwo alternatives
SAP SuccessFactors, UKG ProFive alternatives
ChartHop, One Model, Orgvue, SAP SuccessFactors Workforce Analytics, Workday People AnalyticsFour alternatives
Microsoft Power BI, One Model, SAP SuccessFactors, Workday People AnalyticsGrok 4.20VisierVisierHeldVisierWorkday People Analyticsagainst: ChartHop, Lattice, VisierADP Workforce Now, Visieragainst: BambooHR, Eightfold AI, Leapsome, Perceptyx, ThriveSparrow, Visier, Workday People Analytics
Five alternatives
Crunchr, Culture Amp, One Model, SAP SuccessFactors Workforce Analytics, Workday People AnalyticsThree alternatives
ADP Workforce Now, Culture Amp, Workday People AnalyticsFour alternatives
One Model, SAP SuccessFactors Workforce Analytics, SplashBI, Workday People AnalyticsThree alternatives
Crunchr, Oracle Fusion Cloud HCM, SAP SuccessFactorsMistral SmallVisierWorkday People AnalyticsChangedOne Model, VisierChartHop, Visierno first choiceagainst: BambooHR, Leapsome, Oracle Fusion HCM Analytics, SAP SuccessFactors Workforce Analytics, Visier, Workday Prism Analytics
Two alternatives
SAP SuccessFactors People Analytics, Workday People AnalyticsThree alternatives
ADP Workforce Now, Lattice, RipplingFour alternatives
ChartHop, Qualtrics EmployeeXM, SAP SuccessFactors Workforce Analytics, Workday People AnalyticsOne alternative
Workday People AnalyticsDeepSeek V4 FlashVisierVisierHeldOne Model, VisierOne Model, Visieragainst: ChartHop, Worklyticsno first choiceagainst: BambooHR, Humanyze, Microsoft Viva Insights, Oracle PeopleSoft HCM, Paycor, Visier, Workday Prism Analytics
Four alternatives
Crunchr, One Model, SAP SuccessFactors People Analytics, Workday People AnalyticsFour alternatives
One Model, Orgvue, SAP SuccessFactors People Analytics, Workday People AnalyticsFour alternatives
Crunchr, Oracle Fusion HCM Analytics, SAP SuccessFactors Workforce Analytics, Workday People AnalyticsThree alternatives
Crunchr, SAP SuccessFactors, Workday People AnalyticsLlama 4 Maverickno first choiceno first choiceHeldVisierVisierVisieragainst: Visier, Workday People Analytics
Five alternatives
Crunchr, Darwinbox People Analytics, Lattice, Visier, Workday People AnalyticsTwo alternatives
Crunchr, Workday People AnalyticsTwo alternatives
ChartHop, One ModelFour alternatives
AHA!, Amber, ChartHop, CrunchrQwen 3.7 FlashVisieragainst: SAP SuccessFactors People Analytics, Workday Prism AnalyticsVisierHeldVisierChartHopagainst: Visierno first choiceagainst: BambooHR, Gusto, Microsoft Power BI, Oracle Fusion HCM Analytics, Qlik, Rippling, SAP SuccessFactors, Tableau, Workday People Analytics
Two alternatives
ChartHop, Culture AmpFive alternatives
ChartHop, Microsoft Power BI, SAP SuccessFactors, Tableau, Workday People AnalyticsFive alternatives
ChartHop, Culture Amp, One Model, SAP SuccessFactors Workforce Analytics, Workday People AnalyticsOne alternative
CrunchrKimi K2VisierVisierHeldVisierChartHopagainst: SAP SuccessFactors, Visier, Workday People Analyticsno first choiceagainst: Microsoft Viva Insights, Oracle Fusion Cloud HCM, SAP SuccessFactors, Visier, Workday People Analytics
Two alternatives
ADP DataCloud, Workday People AnalyticsFive alternatives
Eightfold AI, One Model, Oracle Fusion HCM Analytics, SAP SuccessFactors Workforce Analytics, Workday People Analytics / Prism AnalyticsFour alternatives
Crunchr, One Model, SAP SuccessFactors Workforce Analytics, Workday People AnalyticsTwo alternatives
Crunchr, One ModelGLM 4.7 FlashXVisierVisier, Workday People AnalyticsChangedVisierChartHopagainst: Visierno first choiceagainst: ChartHop, Culture Amp, Darwinbox People Analytics, Keka, People Data Labs, Sage People, Visier, Workday People Analytics
Four alternatives
ADP Workforce Now, One Model, SAP SuccessFactors People Analytics, Workday People AnalyticsSix alternatives
ChartHop, Darwinbox People Analytics, HiBob, Lattice, Rippling, SAP SuccessFactorsFive alternatives
Darwinbox People Analytics, Eletive, Lumesse, PeopleStrong, Workday People AnalyticsOne alternative
Workday People AnalyticsMiniMax M2.5no first choiceADP Workforce Now, VisierChangedVisierWorkday People Analyticsno first choiceagainst: One Model, Oracle Fusion HCM Analytics, SAP, Visier, Workday People Analytics
Two alternatives
Culture Amp, ThoughtSpotFive alternatives
AHA!, Crunchr, Eletive, One Model, 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.
Seventy-two 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 | 2026-09-17 18:27 | yes | 9 | 9 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 18:29 | yes | 1 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 19:58 | yes | 10 | 28 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-09-17 19:11 | yes | 20 | 5 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 21:42 | yes | 32 | 15 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 20:32 | yes | 16 | 12 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-09-17 18:18 | yes | 17 | 65 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 18:37 | yes | 5 | 3 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 21:24 | no | 0 | 31 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 21:30 | yes | 10 | 19 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 21:31 | yes | 22 | 52 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 17:59 | yes | 5 | 16 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 20:55 | yes | 19 | 10 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 21:16 | yes | 3 | 7 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 19:43 | yes | 18 | 24 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-09-17 19:44 | yes | 20 | 6 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 21:21 | yes | 28 | 16 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 21:20 | yes | 5 | 5 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 21:34 | yes | 17 | 15 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 20:44 | yes | 5 | 3 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 20:43 | no | 0 | 25 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 19:02 | yes | 10 | 53 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 21:10 | yes | 8 | 24 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 19:05 | yes | 5 | 43 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 21:17 | yes | 15 | 11 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 21:01 | yes | 4 | 14 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 19:15 | yes | 15 | 30 s |
| Comparative | Perplexity Sonar | sonar | 2026-09-17 19:26 | yes | 20 | 15 s |
| Comparative | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 18:17 | yes | 36 | 19 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 19:08 | yes | 14 | 12 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-09-17 19:31 | yes | 29 | 50 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 20:50 | yes | 5 | 3 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 18:35 | yes | 13 | 40 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 19:44 | yes | 20 | 36 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 21:45 | yes | 21 | 96 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 21:45 | yes | 5 | 22 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 21:20 | yes | 18 | 10 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 19:46 | yes | 2 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 22:08 | yes | 23 | 60 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-09-17 20:00 | yes | 19 | 8 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 19:44 | yes | 24 | 14 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 18:33 | yes | 5 | 4 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 20:49 | yes | 26 | 34 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 21:38 | yes | 5 | 3 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 20:50 | yes | 14 | 42 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 18:59 | yes | 23 | 30 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 21:09 | yes | 23 | 70 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 19:24 | yes | 15 | 33 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 20:19 | yes | 18 | 13 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 21:19 | no | 0 | 7 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 21:52 | yes | 5 | 47 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-09-17 18:50 | yes | 20 | 8 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 21:40 | yes | 15 | 11 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 18:22 | no | 0 | 10 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 18:44 | yes | 20 | 26 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 17:55 | yes | 6 | 4 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 20:25 | no | 0 | 29 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 20:02 | yes | 19 | 35 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 21:36 | yes | 14 | 44 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 18:21 | yes | 5 | 24 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 17:53 | yes | 36 | 13 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 17:57 | yes | 6 | 7 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 22:03 | yes | 20 | 52 s |
| Negative framing | Perplexity Sonar | sonar | 2026-09-17 18:20 | yes | 20 | 7 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 21:22 | yes | 22 | 16 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 18:08 | yes | 5 | 6 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 19:08 | yes | 28 | 67 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 20:39 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 19:23 | yes | 8 | 35 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 20:03 | yes | 22 | 46 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 21:31 | yes | 31 | 94 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 20:41 | yes | 14 | 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.
ShowHide
Category-scoped readings
Darwinbox read as Darwinbox People Analytics
Oracle read as Oracle Fusion HCM Analytics
Oracle HCM Cloud read as Oracle Fusion Cloud HCM
Oracle HCM Cloud (Analytics) read as Oracle Fusion Cloud HCM
Power BI read as Microsoft Power BI
Power BI (with HR data connectors) read as Microsoft Power BI
Qualtrics read as Qualtrics EmployeeXM
Workday read as Workday People Analytics
Workhuman read as Workhuman iQ
Unresolved, counted raw
Microsoft Fabric
Microsoft Fabric/Power BI
Vemo
Discontinued, still offered
No shut-down product was recommended here.