Applicant tracking systems for enterprise buyers
Asked as “applicant tracking system”, and as “ATS”, on behalf of an enterprise B2B company. 54 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
37%
Contested · iCIMS 26%
37Greenhouse26iCIMS13Workday Recruiting24others
37% of first choices, contested.
Since September 2026▼−10Since September 2026: 47% → 37%, −10 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Greenhouse held the lead, −10 points on 47%, 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
Breezy HR27%Contested▼−16Since September 2026: 41% → 25%, −16 points. Past the 13-point floor: movement. Read over the models both editions asked.Standing →Mid-market
Greenhouse40%Contested▼−7Since September 2026: 47% → 39%, −7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →EnterpriseGreenhouse37%Contested▼−10Since September 2026: 47% → 37%, −10 points. Inside the 13-point floor: within noise. Read over the models both editions asked.This page
Breezy HR27%Contested▼−16Since September 2026: 41% → 25%, −16 points. Past the 13-point floor: movement. Read over the models both editions asked.Standing →Mid-marketGreenhouse40%Contested▼−7Since September 2026: 47% → 39%, −7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →EnterpriseGreenhouse37%Contested▼−10Since September 2026: 47% → 37%, −10 points. Inside the 13-point floor: within noise. Read over the models both editions asked.This pageThe standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Greenhouse37%15%62endorsed leader▼−10Since September 2026: 47% → 37%, −10 points. Inside the 13-point floor: within noise. Read over the models both editions asked.47% → 37%
Greenhouse37%15%62endorsed leader▼−10Since September 2026: 47% → 37%, −10 points. Inside the 13-point floor: within noise. Read over the models both editions asked.47% → 37%02
iCIMS26%18%67accepted challenger▲+7Since September 2026: 19% → 26%, +7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.19% → 26%
iCIMS26%18%67accepted challenger▲+7Since September 2026: 19% → 26%, +7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.19% → 26%03
Workday Recruiting13%23%60accepted challenger▲+1Since September 2026: 12% → 13%, +1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.12% → 13%
Workday Recruiting13%23%60accepted challenger▲+1Since September 2026: 12% → 13%, +1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.12% → 13%04
SmartRecruiters6%18%40accepted challenger▲+4Since September 2026: 2% → 7%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 7%
SmartRecruiters6%18%40accepted challenger▲+4Since September 2026: 2% → 7%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 7%05
Pinpoint4%7%15accepted challenger▼−5Since September 2026: 7% → 2%, −5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.7% → 2%
Pinpoint4%7%15accepted challenger▼−5Since September 2026: 7% → 2%, −5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.7% → 2%06
Lever2%22%36accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%
Lever2%22%36accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%07
Ashby2%20%15accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 2%
Ashby2%20%15accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 2%08
Oracle Taleo2%36%14criticized challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 2%
Oracle Taleo2%36%14criticized 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 one product at 0%, ordered by negative rate
09
SAP SuccessFactors Recruiting0%39%33criticized 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 SuccessFactors Recruiting0%39%33criticized 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-eight head-to-head pages: the top eight products, each against each
Greenhouse vs Zoho RecruitGreenhouse vs LeverGreenhouse vs PinpointGreenhouse vs ManatalBreezy HR vs AshbyBreezy HR vs WorkableBreezy HR vs Zoho RecruitBreezy HR vs LeverBreezy HR vs PinpointBreezy HR vs ManatalAshby vs WorkableAshby vs Zoho RecruitAshby vs LeverAshby vs PinpointAshby vs ManatalWorkable vs Zoho RecruitWorkable vs LeverWorkable vs PinpointWorkable vs ManatalZoho Recruit vs LeverZoho Recruit vs PinpointZoho Recruit vs ManatalLever vs PinpointLever vs ManatalPinpoint vs Manatal
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 →
010203040506070809Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01Greenhouse37%
Greenhouse37%02iCIMS26%
iCIMS26%03Workday Recruiting13%
Workday Recruiting13%04SmartRecruiters6%
SmartRecruiters6%05Pinpoint4%
Pinpoint4%06Lever2%
Lever2%07Ashby2%
Ashby2%08Oracle Taleo2%
Oracle Taleo2%09SAP SuccessFactors Recruiting0%
SAP SuccessFactors Recruiting0%What they warned about
Two of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, Gemini 3.5 Flash, Perplexity Sonar, Grok 4.1 Fast, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2, GLM 4.7 FlashX, MiniMax M2.5 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 Recruiting23%
14 of 60 labels negative · 12 of 14 models · 2 hard negative
“Lowest-rated among enterprise ATS (e.g., ~3.19/5 on review platforms). Users call it a "nightmare to navigate,"” Grok 4.1 Fast, negative prompt
SAP SuccessFactors Recruiting39%
13 of 33 labels negative · 11 of 14 models · 1 hard negative
“Notorious for 12-18 month implementation timelines, integration headaches with non-SAP stacks, and outdated reporting/UI” Grok 4.1 Fast, negative prompt
iCIMS18%
12 of 67 labels negative · 9 of 14 models · 1 hard negative
“What to Avoid ... iCIMS (~$140K+/yr for enterprise)” GLM 4.7 FlashX, budget prompt
Greenhouse15%
9 of 62 labels negative · 7 of 14 models · 2 hard negative
“Avoid for your needs**: Greenhouse/Lever/Workable ... scales poorly” Grok 4.1 Fast, budget 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. 1067 links across 250 sites, every framing counted. Ranked by the number of answers carrying the site or page. 3 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 · Greenhouse44 answers · 72 citations · 12 models
vendor site · Darwinbox42 answers · 43 citations · 12 models
vendor site · Pin39 answers · 57 citations · 12 models
vendor site · Lever39 answers · 51 citations · 13 models
34 answers · 39 citations · 11 models
vendor site · Gem34 answers · 37 citations · 11 models
20 answers · 21 citations · 9 models
19 answers · 20 citations · 8 models
17 answers · 17 citations · 9 models
vendor site · G216 answers · 18 citations · 9 models
vendor site · HR Cloud15 answers · 16 citations · 9 models
vendor site · Dover14 answers · 17 citations · 8 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.
42 answers · 12 models
33 answers · 11 models
32 answers · 11 models
32 answers · 12 models
31 answers · 11 models
29 answers · 12 models
18 answers · 8 models
15 answers · 9 models
15 answers · 6 models
14 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 “applicant tracking system”, “applicant tracking systems”, “best applicant tracking system”. 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 |
|---|---|---|---|---|---|---|---|
| Greenhouse greenhouse.com Greenhouse 37%, Greenhouse Software 0% | 37% | 419 | 301,000 | 52,273 | 62,551 | $5,545 | 74 |
| iCIMS icims.com | 26% | 147 | 27,100 | 667 | 1,165,712 | $5,674 | 26 |
| Workday parent site Workday Recruiting 13%, Workday HCM 2% | 15% | 216 | 1,220,000 | 23,848 | |||
| SmartRecruiters smartrecruiters.com | 6% | 151 | 9,900 | 194 | 272,094 | 0 | |
| Pinpoint pinpointhq.com | 4% | 57 | 27,100 | 3,146 | 118,527 | 1 | |
| Workable workable.com | 4% | 308 | 14,800 | 520 | 698,499 | $14,562 | 77 |
| Lever lever.co | 2% | 275 | 60,500 | 24,663 | 189,552 | $657 | 7 |
| Ashby ashbyhq.com | 2% | 160 | 49,500 | 3,112 | 216,820 | 16 | |
| Gem gem.com | 2% | 209 | 246,000 | 225,116 | 16,291 | 10 | |
| Oracle parent site Oracle Taleo 2%, Oracle HCM Cloud 0%, Oracle Recruiting 0% | 2% | 41 | 450,000 | 66,611 |
Google's top ten for the three searches hold 14 sites; 2 of them are among the sites the models cited here (peoplemanagingpeople.com, pin.com). The first result for “applicant tracking system” is technologyadvice.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 applicant tracking system for an enterprise B2B company?”Paraphrase“Which ATS would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade applicant tracking systems and how do they differ?”Budget-constrained“What is the best applicant tracking system 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 an applicant tracking system. What should we look at?”Negative“Which applicant tracking systems should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5Greenhouseno first choiceChangedno first choiceAshbyagainst: Greenhouse, SmartRecruiters, Workable, iCIMSno first choiceagainst: HiredScore, Oracle Taleo, SAP SuccessFactors Recruiting, Workday Recruiting
Two alternatives
Pinpoint, iCIMSFive alternatives
Greenhouse, Lever, SmartRecruiters, Workday Recruiting, iCIMSTwo alternatives
Manatal, Zoho RecruitGPT-5.4 miniGreenhouseGreenhouseHeldno first choiceiCIMSno first choicenothing named
Three alternatives
Lever, Workday Recruiting, iCIMSTwo alternatives
Workday Recruiting, iCIMSTwo alternatives
TalVista, Workday RecruitingGemini 3.5 FlashGreenhouseGreenhouse, iCIMSChangedno first choiceagainst: Oracle Recruiting, SAP SuccessFactors Recruiting, Workday RecruitingGreenhouseGreenhouseagainst: ADP Recruit, Ashby, Breezy HR, Gem, Homerun, IBM Kenexa, JazzHR, Manatal, Oracle Taleo Enterprise Edition, SAP SuccessFactors Recruiting, Workday Recruiting
Six alternatives
Ashby, Gem, SAP SuccessFactors Recruiting, SmartRecruiters, Workday Recruiting, iCIMSThree alternatives
Ashby, SAP SuccessFactors Recruiting, Workday RecruitingFive alternatives
Ashby, Gem, Greenhouse Software, SmartRecruiters, iCIMSThree alternatives
Pinpoint, Teamtailor, WorkableFour alternatives
Lever, SmartRecruiters, Workday Recruiting, iCIMSPerplexity SonarGreenhouseWorkday HCM, iCIMSChangedGreenhouseSmartRecruitersagainst: Workday Recruiting, iCIMSno first choiceagainst: Dover, JazzHR, SAP SuccessFactors Recruiting, SmartRecruiters, Workday Recruiting, iCIMS
Three alternatives
Jobvite, SmartRecruiters, iCIMSOne alternative
GreenhouseSix alternatives
Ashby, Bullhorn, Gem, SAP SuccessFactors Recruiting, Workday HCM, iCIMSGrok 4.1 FastiCIMSagainst: Oracle TaleoWorkday RecruitingChangedWorkday RecruitingOracle Taleoagainst: Greenhouse, Lever, Workable, Zoho RecruitGreenhouse, iCIMSagainst: Bullhorn, Greenhouse, Lever, SAP SuccessFactors Recruiting, Workday Recruiting, iCIMS
Two alternatives
Greenhouse, Workday RecruitingFour alternatives
Greenhouse, Oracle Taleo, SAP SuccessFactors Recruiting, iCIMSFive alternatives
Greenhouse, Lever, Oracle Taleo, SAP SuccessFactors Recruiting, iCIMSThree alternatives
SAP SuccessFactors Recruiting, Workday Recruiting, iCIMSTwo alternatives
Ashby, PinpointMistral SmallGreenhouse, iCIMSiCIMSChangedno first choiceWorkableno first choiceagainst: SAP SuccessFactors Recruiting, Workday Recruiting
Three alternatives
Lever, Pinpoint, Zoho RecruitTwo alternatives
Lever, PinpointDeepSeek V4 FlashGreenhouseiCIMSChangedagainst: SmartRecruitersGreenhouse, iCIMSagainst: LeverSmartRecruitersagainst: Ashby, Lever, Recruit CRMno first choiceagainst: Bullhorn, Cornerstone OnDemand, Jobvite, Kenexa/IBM BrassRing, Oracle Taleo, PeopleSoft Recruiting, SAP SuccessFactors Recruiting, Workday Recruiting, iCIMS
Two alternatives
Lever, iCIMSTwo alternatives
Greenhouse, Workday RecruitingFour alternatives
Ashby, Darwinbox, SmartRecruiters, Workday RecruitingThree alternatives
Greenhouse, Workday Recruiting, iCIMSLlama 4 MaverickGem, Lever, PinpointWorkday RecruitingChangedno first choiceno first choiceno first choiceagainst: JazzHR
Three alternatives
Greenhouse, Pinpoint, iCIMSQwen 3.7 FlashGreenhouseWorkday Recruiting, iCIMSChangedGreenhouseWorkday Recruitingno first choiceagainst: Bullhorn, JazzHRagainst: Bullhorn for Enterprise, SAP SuccessFactors Recruiting, Taleo Cloud Classic, Workday Recruiting, Zoho Recruit, iCIMS
Five alternatives
Lever, SAP SuccessFactors Recruiting, Salesforce Recruiting, Workday Recruiting, iCIMSTwo alternatives
Greenhouse, SmartRecruitersFour alternatives
Lever, SAP SuccessFactors Talent Acquisition, Workday Recruiting, iCIMSTwo alternatives
Ashby, GreenhouseKimi K2GreenhouseGreenhouse, iCIMSChangedagainst: SAP SuccessFactors Recruitingno first choiceagainst: SmartRecruitersWorkday Recruiting, iCIMSagainst: Greenhouse, Leverno first choiceagainst: BambooHR, Greenhouse, JazzHR, Lever, Oracle Taleo, SAP SuccessFactors Recruiting, Workday Recruiting, iCIMS
Four alternatives
Lever, SmartRecruiters, Workday Recruiting, iCIMSOne alternative
Workday RecruitingThree alternatives
JazzHR, SAP SuccessFactors Recruiting, SmartRecruitersGLM 4.7 FlashXGreenhouseWorkday RecruitingChangedGreenhouse, iCIMSWorkableagainst: Greenhouse, Pinpoint, SmartRecruiters, iCIMSno first choiceagainst: JazzHR, PeopleForce, SAP SuccessFactors Recruiting, SmartRecruiters, Workday Recruiting, iCIMS
Four alternatives
Bullhorn, SmartRecruiters, Workday Recruiting, iCIMSTwo alternatives
Greenhouse, iCIMSFive alternatives
Bullhorn, Lever, SAP SuccessFactors Recruiting, SmartRecruiters, Workday RecruitingThree alternatives
Breezy HR, Manatal, Zoho RecruitMiniMax M2.5GreenhouseGreenhouse, iCIMSChangediCIMSagainst: Workday RecruitingSmartRecruitersagainst: Ashby, Greenhouse, Lever, Recruitis, iCIMSno first choicenothing named
Five alternatives
Lever, Oracle Taleo, SmartRecruiters, Workday Recruiting, iCIMSTwo alternatives
Lever, Workday RecruitingThree alternatives
Greenhouse, Lever, SmartRecruitersGPT-6 LunaGreenhouseGreenhouseHeldno first choiceiCIMSagainst: Greenhouseno first choiceagainst: Oracle Taleo, SAP SuccessFactors Recruiting, Workday Recruiting
Three alternatives
Lever, Workday Recruiting, iCIMSTwo alternatives
Workday Recruiting, iCIMSTwo alternatives
Oracle HCM Cloud, Workday RecruitingMuse Glimmer 30BGreenhouseWorkday Recruiting, iCIMSChangedGreenhouse, SAP SuccessFactors Recruiting, Workday Recruiting, iCIMSPinpoint, Spark Hireagainst: Greenhouse, Lever, SmartRecruiters, iCIMSno first choiceagainst: SAP SuccessFactors Recruiting, Workday Recruiting, iCIMS
Four alternatives
Lever, SmartRecruiters, Workday Recruiting, iCIMSTwo alternatives
Greenhouse, SAP SuccessFactors RecruitingOne alternative
LeverBold 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 07:59 | yes | 9 | 7 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:55 | yes | 3 | 7 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:28 | yes | 13 | 29 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 08:52 | yes | 20 | 2 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:43 | yes | 22 | 11 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:00 | yes | 13 | 6 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:57 | yes | 20 | 24 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:07 | yes | 5 | 3 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:28 | no | 0 | 28 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 07:58 | yes | 15 | 18 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:57 | yes | 14 | 15 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:35 | yes | 5 | 18 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:46 | yes | 5 | 17 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:01 | yes | 12 | 40 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:56 | no | 0 | 3 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:54 | yes | 3 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:56 | yes | 11 | 24 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 10:51 | yes | 19 | 2 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:03 | yes | 16 | 7 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:37 | yes | 5 | 5 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:25 | yes | 20 | 30 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:52 | yes | 5 | 3 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:00 | yes | 9 | 44 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:56 | yes | 9 | 30 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:26 | yes | 14 | 19 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:03 | yes | 10 | 28 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:28 | yes | 3 | 8 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:18 | yes | 15 | 20 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:17 | yes | 9 | 9 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:16 | yes | 6 | 7 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:02 | yes | 19 | 33 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 10:35 | yes | 17 | 4 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:38 | yes | 20 | 9 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:30 | yes | 10 | 8 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:26 | yes | 22 | 49 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 07:51 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:23 | yes | 9 | 47 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:22 | yes | 14 | 22 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:44 | yes | 25 | 119 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:59 | yes | 14 | 25 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:04 | yes | 7 | 37 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:50 | yes | 19 | 34 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:03 | yes | 18 | 9 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:29 | yes | 4 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 12:17 | yes | 22 | 63 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 09:15 | yes | 20 | 3 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:37 | yes | 22 | 16 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:29 | yes | 5 | 3 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:34 | yes | 25 | 33 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:31 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:45 | yes | 10 | 59 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:51 | yes | 24 | 28 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:35 | yes | 22 | 50 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:49 | yes | 18 | 47 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:52 | yes | 2 | 21 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:39 | yes | 22 | 38 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 12:01 | no | 0 | 7 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:37 | yes | 3 | 8 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:29 | no | 0 | 18 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 10:38 | yes | 17 | 5 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:48 | yes | 20 | 9 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:23 | no | 0 | 6 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:01 | yes | 20 | 39 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:51 | yes | 5 | 4 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:06 | yes | 5 | 37 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:26 | yes | 12 | 25 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:22 | yes | 23 | 37 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:37 | yes | 10 | 13 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:52 | yes | 3 | 40 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:52 | yes | 14 | 32 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:18 | yes | 17 | 11 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:19 | yes | 3 | 8 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:55 | yes | 19 | 28 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 10:44 | yes | 20 | 3 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:40 | yes | 21 | 13 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:04 | yes | 15 | 7 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:17 | yes | 24 | 50 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:32 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 07:41 | yes | 9 | 34 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 07:53 | yes | 24 | 30 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:09 | yes | 24 | 59 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:56 | yes | 18 | 35 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:34 | yes | 4 | 48 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:32 | yes | 22 | 42 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
SAP SuccessFactors read as SAP SuccessFactors Recruiting
SuccessFactors read as SAP SuccessFactors Recruiting
SuccessFactors (SAP) read as SAP SuccessFactors Recruiting
Taleo read as Oracle Taleo
UKG Pro Recruiting read as UKG Pro
Workday read as Workday Recruiting
Workday (Recruiting Module) read as Workday Recruiting
iCIMS Talent Cloud read as iCIMS
Unresolved, counted raw
ADP Recruit
Bullhorn for Enterprise
Cornerstone Recruiting
Greenhouse Software
IBM Kenexa
Kenexa/IBM BrassRing
Oleeo
Oracle Fusion Cloud Recruiting
Oracle Taleo Cloud
Oracle Taleo Enterprise Edition (TEE)
PeopleSoft Recruiting
RippleHire
SAP SuccessFactors Talent Acquisition
Salesforce Recruiting
Taleo Cloud Classic
Discontinued, still offered
No shut-down product was recommended here.