Performance management
Asked as “performance management software”, and as “performance review tool”, on behalf of a mid-market B2B company. 56 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
43%
Clear leader
43Lattice12Effy AI11Zoho People34others
43% of first choices, clear leader.
Since September 2026▲+2Since September 2026: 41% → 43%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Lattice held the lead, +2 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
Zoho People18%Contested↗new leaderNew leader since September 2026: Lattice (18%) replaces Effy AI (19% then, 8% now), 10 points clear, inside the 13-point floor.Standing →Mid-market
Lattice43%Clear leader▲+2Since September 2026: 41% → 43%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.This pageEnterprise
Betterworks37%Contested↗new leaderNew leader since September 2026: Betterworks (33%) replaces Workday HCM Performance Management (32% then, 21% now), 12 points clear, inside the 13-point floor.Standing →
Zoho People18%Contested↗new leaderNew leader since September 2026: Lattice (18%) replaces Effy AI (19% then, 8% now), 10 points clear, inside the 13-point floor.Standing →Mid-marketLattice43%Clear leader▲+2Since September 2026: 41% → 43%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.This pageEnterpriseBetterworks37%Contested↗new leaderNew leader since September 2026: Betterworks (33%) replaces Workday HCM Performance Management (32% then, 21% now), 12 points clear, inside the 13-point floor.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
01Lattice43%11%56endorsed leader▲+2Since September 2026: 41% → 43%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.41% → 43%
Lattice43%11%56endorsed leader▲+2Since September 2026: 41% → 43%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.41% → 43%02Zoho People11%0%11accepted challenger▲+6Since September 2026: 2% → 8%, +6 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 8%
Zoho People11%0%11accepted challenger▲+6Since September 2026: 2% → 8%, +6 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 8%03
15Five9%4%50accepted challenger▲+2Since September 2026: 7% → 8%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.7% → 8%
15Five9%4%50accepted challenger▲+2Since September 2026: 7% → 8%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.7% → 8%04
Leapsome5%0%36accepted challenger▲+4Since September 2026: 2% → 6%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 6%
Leapsome5%0%36accepted challenger▲+4Since September 2026: 2% → 6%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 6%05
Teamflect5%9%11accepted challenger▲+4Since September 2026: 2% → 6%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 6%
Teamflect5%9%11accepted 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
HiBob4%6%16accepted challenger▼−2Since September 2026: 7% → 4%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.7% → 4%
HiBob4%6%16accepted challenger▼−2Since September 2026: 7% → 4%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.7% → 4%07
Small Improvements2%0%11accepted challenger▼−4Since September 2026: 7% → 2%, −4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.7% → 2%
Small Improvements2%0%11accepted challenger▼−4Since September 2026: 7% → 2%, −4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.7% → 2%Show the eight products at 0%, ordered by negative rate
15
SAP SuccessFactors0%55%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%
SAP SuccessFactors0%55%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%14
Workday HCM Performance Management0%52%27criticized 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 HCM Performance Management0%52%27criticized 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
BambooHR0%25%28criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
BambooHR0%25%28criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%13
Rippling0%10%10accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
Rippling0%10%10accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%10Betterworks0%8%25accepted challenger▼−4Since September 2026: 4% → 0%, −4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 0%
Betterworks0%8%25accepted challenger▼−4Since September 2026: 4% → 0%, −4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 0%09
Culture Amp0%8%25accepted 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%8%25accepted 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
PerformYard0%0%25accepted challenger▼−9Since September 2026: 9% → 0%, −9 points. Inside the 13-point floor: within noise. Read over the models both editions asked.9% → 0%
PerformYard0%0%25accepted challenger▼−9Since September 2026: 9% → 0%, −9 points. Inside the 13-point floor: within noise. Read over the models both editions asked.9% → 0%11
Engagedly0%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%
Engagedly0%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 twenty-one head-to-head pages: the top seven products, each against each
Lattice vs TeamflectLattice vs HiBobLattice vs Small ImprovementsZoho People vs 15FiveZoho People vs LeapsomeZoho People vs TeamflectZoho People vs HiBobZoho People vs Small Improvements15Five vs Leapsome15Five vs Teamflect15Five vs HiBob15Five vs Small ImprovementsLeapsome vs TeamflectLeapsome vs HiBobLeapsome vs Small ImprovementsTeamflect vs HiBobTeamflect vs Small ImprovementsHiBob vs Small Improvements
Recommended versus criticized
Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.
Criticized challengerCriticized default
Negative label rate →
010203040506070809101112131415Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative60%
Key
01Lattice43%
Lattice43%02Zoho People11%
Zoho People11%0315Five9%
15Five9%04Leapsome5%
Leapsome5%05Teamflect5%
Teamflect5%06HiBob4%
HiBob4%07Small Improvements2%
Small Improvements2%08PerformYard0%
PerformYard0%09Culture Amp0%
Culture Amp0%10Betterworks0%
Betterworks0%11Engagedly0%
Engagedly0%12BambooHR0%
BambooHR0%13Rippling0%
Rippling0%14Workday HCM Performance Management0%
Workday HCM Performance Management0%15SAP SuccessFactors0%
SAP SuccessFactors0%What they warned about
Five of fourteen models held their first choice under the paraphrase. GPT-5.4 mini, Gemini 3.5 Flash, Grok 4.1 Fast, Mistral Small, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2, MiniMax M2.5 and GPT-6 Luna 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 HCM Performance Management52%
14 of 27 labels negative · 10 of 14 models · 2 hard negative
“here are the performance management platforms and approaches you should avoid or be cautious about... Multiple sources highlight significant concerns with Workday's native performance module” GLM 4.7 FlashX, negative prompt
SAP SuccessFactors55%
11 of 20 labels negative · 8 of 14 models · 2 hard negative
“Platforms with Notable Concerns ... SAP SuccessFactors ... Poor UI/UX – frequently described as "not user-friendly," "outdated," and "confusing"appear” Kimi K2, negative prompt
Lattice11%
6 of 56 labels negative · 6 of 14 models · 2 hard negative
“What to Avoid on a Limited Budget - **Lattice**... minimum commitments make it poor for tight budgets” Kimi K2, budget prompt
BambooHR25%
7 of 28 labels negative · 5 of 14 models · 2 hard negative
“Too basic for scaling, poor customer support, limited depth... Who should avoid: Companies planning rapid growth” DeepSeek V4 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
76 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. 997 links across 205 sites, every framing counted. Ranked by the number of answers carrying the site or page. 7 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 · Betterworks40 answers · 75 citations · 12 models
vendor site · Workhuman36 answers · 38 citations · 11 models
vendor site · Rework30 answers · 40 citations · 10 models
29 answers · 35 citations · 11 models
vendor site · G229 answers · 31 citations · 13 models
vendor site · HiBob29 answers · 29 citations · 12 models
vendor site · Engagedly27 answers · 35 citations · 11 models
26 answers · 26 citations · 11 models
21 answers · 34 citations · 12 models
21 answers · 21 citations · 9 models
vendor site · Deel20 answers · 20 citations · 9 models
vendor site · G219 answers · 37 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.
33 answers · 11 models
32 answers · 11 models
29 answers · 13 models
27 answers · 11 models
24 answers · 11 models
21 answers · 9 models
20 answers · 9 models
20 answers · 8 models
19 answers · 8 models
18 answers · 9 models
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best performance management software”, “performance management platforms”, “performance management software”. 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 |
|---|---|---|---|---|---|---|---|
| Lattice lattice.com | 43% | 662 | 90,500 | 13,900 | 122,123 | $1,328 | 120 |
| Effy effy.ai Effy AI 12% | 12% | 116 | 140 | 3 | 40,950 company | ||
| Zoho parent site Zoho People 11% | 11% | 277 | 6,600 | 50 | |||
| 15Five 15five.com | 9% | 296 | 6,600 | 32 | 32,362 | 22 | |
| Leapsome leapsome.com | 5% | 298 | 2,900 | 32 | 51,450 | $18,531 | 60 |
| Teamflect teamflect.com | 5% | 149 | 880 | 12 | 12,592 | 30 | |
| HiBob hibob.com | 4% | 337 | 14,800 | 154 | 266,143 | $54 | 120 |
| Profit.co profit.co | 4% | 117 | 590 | 0 | 28,000 | 26 | |
| Small Improvements small-improvements.com | 2% | 92 | 1,000 | 137 | 43,657 | 1 | |
| AssessTEAM assessteam.com | 2% | 26 | 140 | 0 | 3,097 | 5 |
Google's top ten for the three searches hold 18 sites; 3 of them are among the sites the models cited here (engagedly.com, forbes.com, learn.g2.com). The first result for “best performance management software” is learn.g2.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 performance management software for a mid-market B2B company?”Paraphrase“Which performance review tool would you recommend to a mid-sized B2B company?”Comparative“What are the top performance management platforms and how do they differ?”Budget-constrained“What is the best performance management software for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a performance management software. What should we look at?”Negative“Which performance management platforms should I avoid or be cautious about?”
Claude Haiku 4.5LatticeLatticeHeldLatticeEffy AI, Zoho Peopleagainst: AssessTEAMno first choiceagainst: ADP Workforce Now, Betterworks, Culture Amp, Lattice, Microsoft Viva, SAP SuccessFactors, Workday HCM Performance Management
Three alternatives
15Five, Leapsome, PerformYardFour alternatives
15Five, Engagedly, HiBob, LeapsomeFour alternatives
15Five, Culture Amp, Leapsome, PerformYardOne alternative
Small ImprovementsGPT-5.4 miniHiBobLatticeChangedno first choiceAssessTEAMagainst: Latticeno first choicenothing named
Three alternatives
Lattice, Leapsome, RipplingFour alternatives
BambooHR, HiBob, Paylocity, RipplingTwo alternatives
Hrider, TeamflectGemini 3.5 FlashLatticeagainst: SAP SuccessFactors, Workday HCM Performance ManagementLeapsomeChangedLatticeTeamflectagainst: Culture Amp, LatticeLatticeagainst: SAP SuccessFactors, Workday HCM Performance Managementagainst: ADP Workforce Now, Dayforce, Hubstaff, Monitask, Paycor, SAP SuccessFactors, Teramind, Workday HCM Performance Management
Three alternatives
15Five, Leapsome, PerformYardThree alternatives
15Five, Lattice, TeamflectSix alternatives
15Five, Betterworks, Culture Amp, Leapsome, PerformYard, TeamflectFour alternatives
Effy AI, Small Improvements, ThriveSparrow, Zoho PeopleSeven alternatives
15Five, BambooHR, Culture Amp, HiBob, Leapsome, PerformYard, RipplingPerplexity SonarLatticeLatticeHeldno first choiceZoho Peopleno first choiceagainst: 15Five, SAP SuccessFactors, Workday HCM Performance Management
Four alternatives
ClearCompany, Culture Amp, Engagedly, PerformYardFour alternatives
15Five, BambooHR, HiBob, PerformYardSeven alternatives
15Five, Culture Amp, Engagedly, Lattice, Leapsome, SAP SuccessFactors, Workday HCM Performance ManagementOne alternative
15FiveGrok 4.1 Fast15Five, Latticeagainst: BambooHR, Workday HCM Performance ManagementLatticeChangedagainst: Betterworksno first choiceEffy AIagainst: 15Five, BambooHR, Latticeno first choiceagainst: BambooHR, Deel, SAP SuccessFactors, Workday HCM Performance Management
Three alternatives
Culture Amp, Deel, HiBobThree alternatives
15Five, Leapsome, PerformYardFive alternatives
PerformYard, Small Improvements, Teamflect, Workleap Officevibe, Zoho PeopleSix alternatives
15Five, Betterworks, HiBob, Lattice, Leapsome, PaylocityMistral Small15Five, LatticeLatticeChangedno first choiceEffy AI, Leapsome, Teamflect, Zoho Peopleno first choiceagainst: Engage
One alternative
QuantiveTwo alternatives
Keka, Small ImprovementsDeepSeek V4 FlashLatticeLatticeHeldLatticeEffy AIagainst: Latticeno first choiceagainst: ADP, BambooHR, Oracle Fusion Cloud HCM, Oracle Taleo, SAP SuccessFactors, Workday HCM Performance Management
Three alternatives
15Five, Betterworks, LeapsomeFour alternatives
15Five, Culture Amp, Engagedly, LeapsomeSix alternatives
15Five, BambooHR, Betterworks, Leapsome, SAP SuccessFactors, Workday HCM Performance ManagementFour alternatives
15Five, PerformYard, Small Improvements, Zoho PeopleLlama 4 MaverickLatticeWorkhuman ConversationsChangedno first choiceProfit.cono first choicenothing named
One alternative
BetterworksOne alternative
OrdioThree alternatives
15Five, Keka, Zoho PeopleQwen 3.7 FlashLeverageagainst: Varicent, XactlyLatticeChangedagainst: Lighthouse, Workday HCM Performance ManagementLatticeEffy AI, Zoho Peopleno first choiceagainst: Oracle, SAP SuccessFactorsagainst: ActivTricks, BambooHR, Blackbaud, Cornerstone OnDemand, Hubstaff, Oracle Fusion Cloud HCM, Paylocity, SAP SuccessFactors, Teramind, Time Doctor, Workday HCM Performance Management
Four alternatives
Betterworks, BigDeals, Lattice, SpiffTwo alternatives
15Five, HiBobSeven alternatives
15Five, Betterworks, Culture Amp, Gtmhub, Leapsome, SAP SuccessFactors, Workday HCM Performance ManagementFour alternatives
15Five, AssessTEAM, PeopleGoal, Small ImprovementsKimi K2Lattice15Five, LatticeChangedLattice15Five, Effy AIagainst: BambooHR, Latticeno first choiceagainst: SAP SuccessFactors, Workday HCM Performance Management
Four alternatives
15Five, Culture Amp, Leapsome, PerformYardTwo alternatives
Culture Amp, LeapsomeSix alternatives
15Five, BambooHR, Betterworks, Culture Amp, Leapsome, Workday HCM Performance ManagementFive alternatives
Assembly, OrangeHRM, PerformYard, Small Improvements, Workleap OfficevibeGLM 4.7 FlashXLatticeLatticeHeldBetterworksLeapsome, Profit.co, Teamflectno first choiceagainst: Teamflect, Workday HCM Performance Management
Four alternatives
15Five, Culture Amp, Engagedly, LeapsomeTwo alternatives
Betterworks, QuantiveSix alternatives
15Five, Culture Amp, Engagedly, Lattice, Leapsome, ThriveSparrowFive alternatives
15Five, AssessTEAM, Engagedly, Lattice, Small ImprovementsMiniMax M2.5LatticeHiBob, LatticeChangedWorkday HCM Performance ManagementSmall Improvementsagainst: Google Sheetsno first choiceagainst: BambooHR, Gusto
Two alternatives
Betterworks, PerformYardFour alternatives
15Five, Engagedly, PerformYard, PrimalogikFive alternatives
15Five, BambooHR, Betterworks, Quantive, ReflektiveFour alternatives
15Five, Leapsome, Teamflect, TrakstarGPT-6 LunaLattice15FiveChangedno first choiceagainst: Oracle Fusion Cloud HCM, SAP SuccessFactorsZoho Peopleno first choiceagainst: ActivTrak, Hubstaff, Teramind, Workday HCM Performance Management
Three alternatives
15Five, Leapsome, PerformYardTwo alternatives
Culture Amp, LatticeSeven alternatives
15Five, BambooHR, Culture Amp, HiBob, Lattice, Leapsome, Workday HCM Performance ManagementTwo alternatives
15Five, PerformYardMuse Glimmer 30BLatticeLatticeHeldno first choiceEffy AI, Zoho Peopleno first choiceagainst: Breathe, HiBob, O.C. Tanner Culture Cloud, Personio, Rippling, Workday HCM Performance Management
Four alternatives
BambooHR, Leapsome, Namely, PerformYardTwo alternatives
15Five, Culture AmpThree alternatives
PeopleGoal, Small Improvements, WebHRBold 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 10:47 | yes | 18 | 9 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:33 | yes | 2 | 4 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:46 | yes | 19 | 25 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 08:23 | yes | 20 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:13 | yes | 23 | 11 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:51 | yes | 10 | 8 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:44 | yes | 22 | 32 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:12 | yes | 5 | 3 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:42 | no | 0 | 34 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:06 | yes | 19 | 26 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:06 | yes | 15 | 37 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:18 | yes | 18 | 36 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:31 | yes | 4 | 19 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:09 | yes | 14 | 16 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:11 | yes | 9 | 8 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:17 | yes | 2 | 6 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:54 | yes | 19 | 23 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 09:03 | yes | 19 | 2 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:37 | yes | 21 | 9 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:25 | yes | 5 | 3 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:44 | yes | 23 | 25 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:28 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:27 | yes | 9 | 23 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:59 | no | 0 | 21 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:52 | yes | 12 | 60 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:07 | yes | 10 | 19 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:50 | yes | 2 | 15 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:45 | yes | 15 | 15 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:08 | yes | 10 | 10 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:41 | yes | 4 | 8 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:27 | yes | 14 | 23 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 09:48 | yes | 20 | 8 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:43 | yes | 22 | 15 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:39 | yes | 7 | 10 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:11 | yes | 23 | 37 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:47 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:10 | yes | 15 | 36 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:53 | yes | 14 | 28 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:23 | yes | 17 | 66 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:22 | yes | 10 | 18 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:27 | yes | 8 | 20 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:32 | yes | 14 | 26 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:38 | yes | 9 | 7 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:36 | yes | 1 | 4 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:49 | yes | 22 | 20 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 10:13 | yes | 20 | 5 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:38 | yes | 20 | 13 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:42 | yes | 8 | 7 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:46 | yes | 21 | 29 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:36 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:54 | yes | 5 | 21 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:38 | yes | 12 | 26 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:33 | yes | 8 | 29 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:08 | yes | 8 | 21 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:01 | yes | 3 | 10 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:35 | yes | 13 | 17 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:41 | no | 0 | 7 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:03 | no | 0 | 5 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:37 | no | 0 | 17 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 09:43 | yes | 20 | 8 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:37 | yes | 12 | 10 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:18 | no | 0 | 9 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:46 | yes | 17 | 57 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:29 | yes | 5 | 4 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:03 | no | 0 | 32 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 12:10 | yes | 15 | 26 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:05 | yes | 15 | 153 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:00 | yes | 5 | 12 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:32 | yes | 2 | 13 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:10 | yes | 12 | 25 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:13 | yes | 17 | 11 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:16 | yes | 2 | 7 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:06 | yes | 24 | 32 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 09:49 | yes | 20 | 7 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:03 | yes | 22 | 8 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:19 | yes | 5 | 4 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:01 | yes | 24 | 46 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:06 | yes | 5 | 4 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 07:36 | no | 0 | 45 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:05 | yes | 24 | 26 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:32 | yes | 24 | 104 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:36 | yes | 19 | 28 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:13 | yes | 5 | 20 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:39 | yes | 25 | 28 s |
Noise floor in this category
Flips between the edition run and its calibration repeat. Six prompts per model is a small sample; the index-wide floor is the number to trust.
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Claude Haiku 4.5
2 of 4 flipped
GPT-5.4 mini
2 of 3 flipped
Gemini 3.5 Flash
3 of 5 flipped
Perplexity Sonar
0 of 3 flipped
Grok 4.1 Fast
5 of 6 flipped
Mistral Small
3 of 4 flipped
DeepSeek V4 Flash
2 of 5 flipped
Llama 4 Maverick
1 of 3 flipped
Qwen 3.7 Flash
3 of 4 flipped
Kimi K2
3 of 4 flipped
GLM 4.7 FlashX
3 of 4 flipped
MiniMax M2.5
3 of 4 flipped
GPT-6 Luna
1 of 3 flipped
Muse Glimmer 30B
2 of 4 flipped
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
Cornerstone read as Cornerstone OnDemand
Deel HR read as Deel
HiBob HRIS read as HiBob
Oracle HCM read as Oracle Fusion Cloud HCM
Workday read as Workday HCM Performance Management
Workday (Performance Module specifically) read as Workday HCM Performance Management
Workday (native performance module) read as Workday HCM Performance Management
Workday HCM read as Workday HCM Performance Management
Workday Performance read as Workday HCM Performance Management
Workday Performance Management read as Workday HCM Performance Management
Workleap read as Workleap Officevibe
Unresolved, counted raw
ActivTricks
BigDeals
Breathe
Odoo Appraisals
Vantage 360
Discontinued, still offered
No shut-down product was recommended here.