November 2026 Edition · The permanent record of this edition. The unqualified address always carries the latest edition.
Index › HR › Talent acquisition › Applicant tracking syste · November 2026 Edition

Applicant tracking systems

Asked as “applicant tracking system”, and as “ATS”, on behalf of a mid-market B2B company. 57 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
30%
Contested · Workable 16%
30Greenhouse16Workable14Breezy HR40others

30% of first choices, contested.

Since October 2026▼−10Since October 2026: 40% → 30%, −10 points. Inside the 13-point floor: within noise.Greenhouse held the lead, −10 points on 40%, 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.

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 October 2026
01Greenhouse30%9%57accepted challenger▼−10Since October 2026: 40% → 30%, −10 points. Inside the 13-point floor: within noise.40% → 30%
02Workable16%5%42accepted challenger▲+7Since October 2026: 9% → 16%, +7 points. Inside the 13-point floor: within noise.9% → 16%
03Breezy HR14%0%30accepted challenger▲+2Since October 2026: 12% → 14%, +2 points. Inside the 13-point floor: within noise.12% → 14%
04Ashby11%2%41accepted challenger▲+1Since October 2026: 10% → 11%, +1 point. Inside the 13-point floor: within noise.10% → 11%
05Zoho Recruit9%0%26accepted challenger=heldSince October 2026: 9% → 9%, ±0 points. Inside the 13-point floor: within noise.9% → 9%
06Lever5%8%50accepted challenger▼−2Since October 2026: 7% → 5%, −2 points. Inside the 13-point floor: within noise.7% → 5%
07100Hires4%0%17accepted challenger▲+2Since October 2026: 2% → 4%, +2 points. Inside the 13-point floor: within noise.2% → 4%
08Manatal4%7%14accepted challenger▲+1Since October 2026: 3% → 4%, +1 point. Inside the 13-point floor: within noise.3% → 4%
09JazzHR2%15%26accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise.0% → 2%
Show the eight products at 0%, ordered by negative rate
17Oracle Taleo0%100%10criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%
16SAP SuccessFactors Recruiting0%70%10criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%
15Workday Recruiting0%48%25criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%
14iCIMS0%36%22criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%
13SmartRecruiters0%22%18accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%
11BambooHR0%17%24accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%
12Rippling0%17%12accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%
10Pinpoint0%0%16accepted challenger▼−3Since October 2026: 3% → 0%, −3 points. Inside the 13-point floor: within noise.3% → 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 can't be told apart from repeat variation, and both are shown. Each index measures its own floor from its own repeat, over its own categories, so the floor differs from one index to the next. Both editions asked the same fourteen models. 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

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 →
01
02
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04
05
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07
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09
10
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Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01Greenhouse30%
02Workable16%
03Breezy HR14%
04Ashby11%
05Zoho Recruit9%
06Lever5%
07100Hires4%
08Manatal4%
09JazzHR2%
10Pinpoint0%
11BambooHR0%
12Rippling0%
13SmartRecruiters0%
14iCIMS0%
15Workday Recruiting0%
16SAP SuccessFactors Recruiting0%
17Oracle Taleo0%

What they warned about

Five of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2, GLM 4.7 FlashX, 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 Recruiting
48%
12 of 25 labels negative · 9 of 14 models · 7 hard negative
“Workday is the most frequently criticized ATS based on user feedback... Many recruiters and candidates describe it as one of the "worst" systems” Grok 4.20, negative prompt
Oracle Taleo
100%
10 of 10 labels negative · 8 of 14 models · 5 hard negative
“Frequently criticized for being clunky, unreliable, and frustrating for both recruiters and candidates” Kimi K2, negative prompt
iCIMS
36%
8 of 22 labels negative · 7 of 14 models · 4 hard negative
“notoriously complex to implement (often taking 6-12 months), expensive to maintain, with high licensing and professional services costs, and difficult to use” Claude Haiku 4.5, negative prompt
SAP SuccessFactors Recruiting
70%
7 of 10 labels negative · 5 of 14 models · 2 hard negative
“Avoid: Enterprise suites (Workday, SAP SuccessFactors, UKG Pro)” Kimi K2, scale prompt

What they cite

Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted.

Sites the answers cite

74 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. 714 links across 206 sites, every framing counted. Ranked by the number of answers carrying the site or page. 2 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.

31 answers · 32 citations · 10 models
vendor site · Lead Change Group29 answers · 46 citations · 10 models
vendor site · Lever24 answers · 35 citations · 11 models
20 answers · 37 citations · 10 models
vendor site · Zapier20 answers · 20 citations · 12 models
17 answers · 17 citations · 6 models
vendor site · 100Hires11 answers · 13 citations · 8 models
vendor site · Greenhouse10 answers · 11 citations · 8 models
10 answers · 10 citations · 7 models
9 answers · 11 citations · 6 models
vendor site · Rework9 answers · 10 citations · 6 models
9 answers · 10 citations · 7 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.

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 productsShareOwn site citedName searches, GoogleAI search demand, est.Organic visitsPaid search a month, est.Google ads, last 30 days
Greenhouse greenhouse.com30%401301,00052,27362,551$5,54574
Workable workable.com16%33214,800520698,499$14,56277
Breezy breezy.hr
Breezy HR 14%
14%2263,60059178,670 company$5625
Ashby ashbyhq.com11%21749,5003,112216,82016
Zoho zoho.com
Zoho Recruit 9%
9%3122,900461,216,894 company$51,031119
Lever lever.co5%22160,50024,663189,552$6577
100Hires 100hires.com4%1239027054
Manatal manatal.com4%3052,40026773,150120
JazzHR jazzhr.com2%14114,8007011,75419
ApplicantStack applicantstack.com2%191,0001106,7925

Google's top ten for the three searches hold 14 sites; 1 of them are among the sites the models cited here (zapier.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.
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ModelDirect“What is the best applicant tracking system for a mid-market B2B company?”Paraphrase“Which ATS would you recommend to a mid-sized B2B company?”Comparative“What are the top applicant tracking systems and how do they differ?”Budget-constrained“What is the best applicant tracking system for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating an applicant tracking system. What should we look at?”Negative“Which applicant tracking systems should I avoid or be cautious about?”
Claude Haiku 4.5no first choice
Five alternativesBambooHR, Greenhouse, Jobvite, Lever, Workable
Greenhouse, WorkableChanged
Two alternativesLever, Pinpoint
Greenhouse
Six alternativesAshby, BambooHR, JazzHR, Lever, Manatal, Workable
Manatal
Three alternativesBreezy HR, JazzHR, Zoho Recruit
no first choiceagainst: JazzHR, Workable, iCIMS
GPT-5.4 miniGreenhouse
Two alternativesLever, Workable
against: SmartRecruiters, iCIMS
GreenhouseHeld
Three alternativesAshby, Lever, Workable
against: SmartRecruiters
no first choiceApplicantStack, Zoho Recruitno first choiceagainst: ApplicantStack, BambooHR
Gemini 3.5 FlashAshby
Three alternativesGreenhouse, Lever, Pinpoint
against: BambooHR, Rippling
AshbyHeld
Four alternativesGreenhouse, Lever, Pinpoint, Workable
against: BambooHR ATS, Rippling
Greenhouse
Six alternativesAshby, BambooHR, Lever, Workable, Workday Recruiting, iCIMS
Breezy HR, Zoho Recruit
Two alternativesJazzHR, Manatal
Ashby
Five alternativesBambooHR, Greenhouse, Lever, Rippling, SmartRecruiters
against: IBM Kenexa BrassRing, Oracle Taleo, SAP SuccessFactors Recruiting, Workday Recruiting
Perplexity SonarGreenhouse
Four alternativesAshby, Lever, Pinpoint, Workable
GreenhouseHeld
Four alternativesAshby, Lever, Pinpoint, Workable
Greenhouse
Nine alternativesAshby, BambooHR, JazzHR, Lever, Pinpoint, SmartRecruiters, Teamtailor, Workable, Zoho Recruit
JazzHR
Two alternativesBreezy HR, Zoho Recruit
no first choiceagainst: BambooHR, Greenhouse, JazzHR, Jobvite, Lever, Workday Recruiting, iCIMS
Grok 4.20Greenhouse
Two alternativesAshby, Workable
against: Oracle, Oracle Taleo, Workday Recruiting, iCIMS
GreenhouseHeld
Six alternativesAshby, BambooHR, Lever, Pinpoint, Teamtailor, Workable
Workable
Nine alternativesAshby, Breezy HR, Greenhouse, Lever, Rippling, SmartRecruiters, Workday Recruiting, Zoho Recruit, iCIMS
Breezy HR
Four alternatives100Hires, Harmny Recruiting, Workello, Zoho Recruit
no first choice
Four alternativesAshby, BambooHR, Greenhouse, Lever
against: Crelate, JobAdder, Loxo, Oracle Taleo, SAP SuccessFactors Recruiting, Workday Recruiting
Mistral SmallWorkable
Four alternativesAshby, Greenhouse, Lever, Zoho Recruit
WorkableHeld
Four alternativesBreezy HR, Greenhouse, JazzHR, Zoho Recruit
Lever, Workable
Two alternativesBambooHR, Workday Recruiting
100Hires, Zoho Recruit
Two alternativesBreezy HR, JazzHR
no first choicenothing named
DeepSeek V4 FlashAshby
Two alternativesGreenhouse, Lever
GreenhouseChanged
Three alternativesAshby, Lever, Workable
no first choice
Eight alternativesAshby, BambooHR, Greenhouse, Lever, Pinpoint, Workable, Zoho Recruit, iCIMS
100Hires
Three alternativesBreezy HR, Manatal, Zoho Recruit
Greenhouse
Three alternativesJazzHR, Lever, Workable
against: iCIMS
against: Bullhorn, Oracle Taleo, SAP SuccessFactors Recruiting, UKG Pro, Workday Recruiting, iCIMS
Llama 4 Maverickno first choiceRecruit CRMChanged
Four alternativesGem, Greenhouse, Pinpoint, Teamtailor
no first choiceagainst: Ashby, RecruiteeManatal
Three alternatives100Hires, ApplicantStack, Zoho Recruit
no first choicenothing named
Qwen 3.7 FlashAshby, Greenhouse
Two alternativesLever, SmartRecruiters
GreenhouseChanged
Two alternativesAshby, Lever
iCIMS
Seven alternatives100Hires, Greenhouse, Lever, Rippling, Workable, Workday Recruiting, Zoho Recruit
Zoho Recruit
Three alternatives100Hires, Breezy HR, JazzHR
against: Greenhouse, Lever
Greenhouse, Lever
Three alternativesAshby, Personio, Rippling
against: Oracle Taleo, SAP SuccessFactors Recruiting
against: Bullhorn, Oracle Taleo, SAP SuccessFactors Recruiting, UKG Pro, Workday Recruiting, iCIMS
Kimi K2Greenhouse
Two alternativesAshby, Lever
against: SmartRecruiters, Workable, Workday Recruiting
LeverChanged
Two alternativesGreenhouse, Workable
Greenhouse, Lever
Two alternativesWorkable, iCIMS
against: Oracle, SAP SuccessFactors Recruiting, Workday Recruiting
Breezy HR, Zoho Recruit
Two alternatives100Hires, JazzHR
Recruitee, Workable
Two alternativesGreenhouse, Lever
against: SAP SuccessFactors Recruiting, UKG Pro, Workday Recruiting
against: Oracle Taleo, SmartRecruiters, iCIMS
GLM 4.7 FlashXBreezy HR, Workable
Two alternativesAshby, Crelate
against: Greenhouse, Lever
WorkableChanged
Two alternativesGreenhouse, Lever
Workable
Eight alternatives100Hires, Ashby, BambooHR, Breezy HR, Greenhouse, Lever, Rippling, Zoho Recruit
Breezy HR
Three alternatives100Hires, Indeed, Zoho Recruit
no first choiceagainst: Avature, Bullhorn, Crelate, Lever, Loxo, Manatal, Oracle Taleo, Ultra-Staff EDGE, Workday Recruiting
MiniMax M2.5Breezy HR, Workable
Four alternativesAshby, BambooHR, Greenhouse, JazzHR
GreenhouseChanged
Two alternativesAshby, Workable
no first choiceBreezy HR
Four alternatives100Hires, ApplicantStack, Manatal, Zoho Recruit
no first choiceagainst: BrassRingagainst: BambooHR, Greenhouse, JazzHR, Oracle Taleo, Workday Recruiting
GPT-6 LunaAshby
Two alternativesGreenhouse, Lever
GreenhouseChanged
Three alternativesAshby, Lever, Workable
Greenhouse
Six alternativesAshby, Bullhorn, Lever, Workable, Workday Recruiting, iCIMS
Dover
Two alternativesBreezy HR, Zoho Recruit
no first choiceagainst: TalentHook
Muse Glimmer 30BGreenhouse, Lever, Workable
Two alternativesAshby, BambooHR
against: JazzHR
Greenhouse, WorkableChanged
Two alternativesLever, Pinpoint
Greenhouse, Lever
Seven alternatives100Hires, Ashby, BambooHR, Breezy HR, Rippling, Workable, Workday Recruiting
Breezy HR
Four alternatives100Hires, ApplicantStack, Manatal, Zoho Recruit
no first choiceagainst: Avature, Bullhorn, Greenhouse, Oracle Taleo, Workday Recruiting
Bold 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.
Eighty-four rows: every prompt, every model, every answer.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency
Direct recommendationClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 08:48yes107 s
Direct recommendationGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 08:46yes34 s
Direct recommendationGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 10:10no015 s
Direct recommendationPerplexity Sonarsonar2026-11-01 10:09yes104 s
Direct recommendationGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 13:25yes532 s
Direct recommendationMistral Smallmistral/mistral-small via mistral2026-11-01 08:45yes55 s
Direct recommendationDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 11:27yes2163 s
Direct recommendationLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 10:22yes53 s
Direct recommendationQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 12:59yes528 s
Direct recommendationKimi K2moonshotai/kimi-k2 via novita2026-11-01 09:52yes915 s
Direct recommendationGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 12:35yes1668 s
Direct recommendationMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 11:11yes539 s
Direct recommendationGPT-6 Lunagpt-6-luna2026-11-01 09:33yes313 s
Direct recommendationMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 10:29yes1320 s
ParaphraseClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 09:58yes98 s
ParaphraseGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 12:33yes35 s
ParaphraseGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 12:56yes922 s
ParaphrasePerplexity Sonarsonar2026-11-01 10:23yes103 s
ParaphraseGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 13:30yes531 s
ParaphraseMistral Smallmistral/mistral-small via mistral2026-11-01 09:01yes55 s
ParaphraseDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 11:42yes1919 s
ParaphraseLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 12:17yes53 s
ParaphraseQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 11:48yes1959 s
ParaphraseKimi K2moonshotai/kimi-k2 via novita2026-11-01 12:33yes1042 s
ParaphraseGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 12:43yes17140 s
ParaphraseMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 11:04yes530 s
ParaphraseGPT-6 Lunagpt-6-luna2026-11-01 08:39yes418 s
ParaphraseMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 11:24yes1418 s
ComparativeClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 11:44yes108 s
ComparativeGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 09:37yes55 s
ComparativeGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 08:44yes1231 s
ComparativePerplexity Sonarsonar2026-11-01 10:57yes105 s
ComparativeGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 13:16yes529 s
ComparativeMistral Smallmistral/mistral-small via mistral2026-11-01 10:22yes931 s
ComparativeDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 12:26yes2328 s
ComparativeLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 10:07yes55 s
ComparativeQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 09:07yes527 s
ComparativeKimi K2moonshotai/kimi-k2 via novita2026-11-01 08:39yes1042 s
ComparativeGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 09:11yes1381 s
ComparativeMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 10:57yes519 s
ComparativeGPT-6 Lunagpt-6-luna2026-11-01 09:52yes726 s
ComparativeMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 12:26yes1427 s
Budget constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 11:04yes108 s
Budget constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 10:49yes25 s
Budget constrainedGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 10:48yes816 s
Budget constrainedPerplexity Sonarsonar2026-11-01 08:46yes104 s
Budget constrainedGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 13:30yes936 s
Budget constrainedMistral Smallmistral/mistral-small via mistral2026-11-01 09:41yes54 s
Budget constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 10:13yes2519 s
Budget constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 09:59yes52 s
Budget constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 10:43yes522 s
Budget constrainedKimi K2moonshotai/kimi-k2 via novita2026-11-01 11:57yes917 s
Budget constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 10:09yes1826 s
Budget constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 10:49yes542 s
Budget constrainedGPT-6 Lunagpt-6-luna2026-11-01 12:33yes312 s
Budget constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 12:18yes1117 s
Scale constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 11:55no07 s
Scale constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 09:10no06 s
Scale constrainedGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 10:53no015 s
Scale constrainedPerplexity Sonarsonar2026-11-01 09:21yes109 s
Scale constrainedGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 13:29yes534 s
Scale constrainedMistral Smallmistral/mistral-small via mistral2026-11-01 10:42no011 s
Scale constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 11:13yes1939 s
Scale constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 09:22yes53 s
Scale constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 11:50no028 s
Scale constrainedKimi K2moonshotai/kimi-k2 via novita2026-11-01 10:55yes1441 s
Scale constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 12:14yes1526 s
Scale constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 11:40no017 s
Scale constrainedGPT-6 Lunagpt-6-luna2026-11-01 10:21yes314 s
Scale constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 12:36no02 s
Negative framingClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 10:26yes199 s
Negative framingGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 10:53yes35 s
Negative framingGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 10:35no014 s
Negative framingPerplexity Sonarsonar2026-11-01 10:11yes104 s
Negative framingGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 13:20yes526 s
Negative framingMistral Smallmistral/mistral-small via mistral2026-11-01 12:08yes55 s
Negative framingDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 10:38yes2435 s
Negative framingLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 10:57yes64 s
Negative framingQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 10:01yes516 s
Negative framingKimi K2moonshotai/kimi-k2 via novita2026-11-01 11:14yes2429 s
Negative framingGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 09:33yes22136 s
Negative framingMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 12:06no015 s
Negative framingGPT-6 Lunagpt-6-luna2026-11-01 10:09yes317 s
Negative framingMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 12:31yes1520 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
Breezy read as Breezy HR
SAP read as SAP SuccessFactors Recruiting
SAP SuccessFactors read as SAP SuccessFactors Recruiting
Taleo read as Oracle Taleo
Taleo (Oracle) read as Oracle Taleo
UKG Pro Recruiting read as UKG Pro
UKG Pro Recruiting (formerly Kronos/UltiPro) read as UKG Pro
Workday read as Workday Recruiting
iCIMS Talent Cloud read as iCIMS
Unresolved, counted raw
Comeet
TalentHook
Ultra-Staff EDGE
Discontinued, still offered
No shut-down product was recommended here.
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