Applicant tracking systems
Asked as “applicant tracking system”, and as “ATS”, on behalf of a mid-market B2B company. 58 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
40%
Contested · Breezy HR 12%
40Greenhouse12Breezy HR10Ashby38others
40% of first choices, contested.
Since September 2026▼−7Since September 2026: 47% → 39%, −7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Greenhouse held the lead, −7 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.This pageEnterpriseGreenhouse37%Contested▼−10Since September 2026: 47% → 37%, −10 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →
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.This pageEnterpriseGreenhouse37%Contested▼−10Since September 2026: 47% → 37%, −10 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for a mid-market B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Greenhouse40%4%55endorsed leader▼−7Since September 2026: 47% → 39%, −7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.47% → 39%
Greenhouse40%4%55endorsed leader▼−7Since September 2026: 47% → 39%, −7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.47% → 39%02Breezy HR12%4%23accepted challenger▼−6Since September 2026: 18% → 12%, −6 points. Inside the 13-point floor: within noise. Read over the models both editions asked.18% → 12%
Breezy HR12%4%23accepted challenger▼−6Since September 2026: 18% → 12%, −6 points. Inside the 13-point floor: within noise. Read over the models both editions asked.18% → 12%03
Ashby10%0%32accepted challenger▲+3Since September 2026: 7% → 10%, +3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.7% → 10%
Ashby10%0%32accepted challenger▲+3Since September 2026: 7% → 10%, +3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.7% → 10%04
Workable9%8%37accepted challenger▲+5Since September 2026: 4% → 10%, +5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 10%
Workable9%8%37accepted challenger▲+5Since September 2026: 4% → 10%, +5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 10%05
Zoho Recruit9%0%28accepted challenger▼−3Since September 2026: 9% → 6%, −3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.9% → 6%
Zoho Recruit9%0%28accepted challenger▼−3Since September 2026: 9% → 6%, −3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.9% → 6%06
Lever7%2%44accepted challenger▲+1Since September 2026: 7% → 8%, +1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.7% → 8%
Lever7%2%44accepted challenger▲+1Since September 2026: 7% → 8%, +1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.7% → 8%07
Pinpoint3%0%18accepted challenger▼−1Since September 2026: 4% → 4%, −1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 4%
Pinpoint3%0%18accepted challenger▼−1Since September 2026: 4% → 4%, −1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 4%08
Manatal3%9%11accepted challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 4%
Manatal3%9%11accepted challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 4%Show the seven products at 0%, ordered by negative rate
15
Oracle Taleo0%80%10criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
Oracle Taleo0%80%10criticized 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 Recruiting0%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%
Workday Recruiting0%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%13
iCIMS0%46%26criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
iCIMS0%46%26criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%09
JazzHR0%9%23accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
JazzHR0%9%23accepted 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
SmartRecruiters0%7%14accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
SmartRecruiters0%7%14accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%10
BambooHR0%7%15accepted 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%7%15accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%11
Rippling0%0%12accepted 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%0%12accepted 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 →
010203040506070809101112131415Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01Greenhouse40%
Greenhouse40%02Breezy HR12%
Breezy HR12%03Ashby10%
Ashby10%04Workable9%
Workable9%05Zoho Recruit9%
Zoho Recruit9%06Lever7%
Lever7%07Pinpoint3%
Pinpoint3%08Manatal3%
Manatal3%09JazzHR0%
JazzHR0%10BambooHR0%
BambooHR0%11Rippling0%
Rippling0%12SmartRecruiters0%
SmartRecruiters0%13iCIMS0%
iCIMS0%14Workday Recruiting0%
Workday Recruiting0%15Oracle Taleo0%
Oracle Taleo0%What they warned about
Six of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, Grok 4.1 Fast, Mistral Small, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2, GLM 4.7 FlashX 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 Recruiting55%
11 of 20 labels negative · 9 of 14 models · 7 hard negative
“❌ The Worst Offenders: Workday and Oracle Taleo ... It is widely considered the most frustrating ATS for job seekers.” Gemini 3.5 Flash, negative prompt
iCIMS46%
12 of 26 labels negative · 9 of 14 models · 4 hard negative
“ATS platforms that consistently receive negative feedback or have documented weaknesses... Limited customization... Poor customer support” GLM 4.7 FlashX, negative prompt
Oracle Taleo80%
8 of 10 labels negative · 6 of 14 models · 5 hard negative
“Taleo is famous for having a dated, slow interface that forces applicants through a dozen pages of redundant disclosures and manual data entry.” Gemini 3.5 Flash, negative prompt
SAP SuccessFactors Recruiting67%
4 of 6 labels negative · 4 of 14 models · 2 hard negative
“Very long implementation timelines (12–18 months)... Can become a heavy financial and administrative burden.” GLM 4.7 FlashX, 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
72 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. 947 links across 245 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.
38 answers · 41 citations · 11 models
35 answers · 50 citations · 10 models
vendor site · Pin30 answers · 40 citations · 10 models
vendor site · Zapier26 answers · 26 citations · 9 models
vendor site · Greenhouse24 answers · 30 citations · 10 models
vendor site · Lever24 answers · 28 citations · 11 models
20 answers · 28 citations · 11 models
19 answers · 26 citations · 10 models
vendor site · Gem18 answers · 19 citations · 9 models
vendor site · Rework17 answers · 22 citations · 8 models
vendor site · Metaview16 answers · 17 citations · 8 models
vendor site · G215 answers · 23 citations · 9 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.
36 answers · 11 models
27 answers · 9 models
26 answers · 9 models
24 answers · 10 models
22 answers · 8 models
17 answers · 9 models
16 answers · 8 models
15 answers · 8 models
15 answers · 8 models
14 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 “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 | 40% | 419 | 301,000 | 52,273 | 62,551 | $5,545 | 74 |
| Breezy breezy.hr Breezy HR 12% | 12% | 189 | 3,600 | 59 | 178,670 company | $56 | 25 |
| Ashby ashbyhq.com | 10% | 160 | 49,500 | 3,112 | 216,820 | 16 | |
| Workable workable.com | 9% | 308 | 14,800 | 520 | 698,499 | $14,562 | 77 |
| Zoho zoho.com Zoho Recruit 9% | 9% | 322 | 2,900 | 46 | 1,216,894 company | $51,031 | 119 |
| Lever lever.co | 7% | 275 | 60,500 | 24,663 | 189,552 | $657 | 7 |
| Pinpoint pinpointhq.com | 3% | 57 | 27,100 | 3,146 | 118,527 | 1 | |
| Manatal manatal.com | 3% | 294 | 2,400 | 267 | 73,150 | 120 | |
| 100Hires 100hires.com | 2% | 74 | 90 | 2 | 705 | 4 | |
| Freshteam | 2% |
Google's top ten for the three searches hold 14 sites; 3 of them are among the sites the models cited here (metaview.ai, pin.com, 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.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 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 4.5Greenhouseno first choiceChangedGem, GreenhouseManatalno first choiceagainst: Workday Recruiting, iCIMS
Four alternatives
Ashby, Lever, Pinpoint, WorkableTwo alternatives
Workable, Zoho RecruitThree alternatives
100Hires, Breezy HR, Zoho RecruitGPT-5.4 miniGreenhouseagainst: Workday Recruiting, iCIMSGreenhouseHeldGreenhouseBreezy HRagainst: Workableno first choicenothing named
Two alternatives
Ashby, LeverFour alternatives
BambooHR, Rippling, Trakstar Hire, WorkableFour alternatives
Ashby, Lever, Workday Recruiting, iCIMSTwo alternatives
Freshteam, Zoho RecruitGemini 3.5 FlashAshbyAshbyHeldAshby, GreenhouseDoverAshby, Greenhouseagainst: Breezy HR, JazzHR, Workday Recruiting, iCIMSagainst: ADP, Oracle Taleo, SAP SuccessFactors Recruiting, Workday Recruiting
Four alternatives
Greenhouse, Lever, Pinpoint, TeamtailorThree alternatives
Greenhouse, Lever, PinpointEight alternatives
BambooHR, Breezy HR, Gem, JazzHR, Rippling, Workable, Workday Recruiting, iCIMSFour alternatives
Breezy HR, JazzHR, Manatal, Zoho RecruitSix alternatives
BambooHR, HiBob, Lever, Paylocity, Pinpoint, RipplingPerplexity SonarGreenhouseGreenhouseHeldGreenhouseBreezy HRagainst: Manatalno first choicenothing named
Four alternatives
Gem, Jobvite, Lever, WorkableFour alternatives
Ashby, Lever, Pinpoint, Zoho RecruitFive alternatives
Ashby, Gem, JazzHR, Workable, Zoho RecruitTwo alternatives
100Hires, Zoho RecruitGrok 4.1 FastGreenhouseWorkableChangedGreenhouseZoho RecruitGreenhouse, Lever, Workableagainst: Workday Recruitingagainst: Oracle Taleo, Workday Recruiting, iCIMS
Two alternatives
Lever, WorkableFour alternatives
Ashby, Greenhouse, Lever, Zoho RecruitSix alternatives
BambooHR, Bullhorn, Lever, Workable, Workday Recruiting, iCIMSFour alternatives
100Hires, Breezy HR, Dover, JazzHRMistral SmallGreenhouse, PinpointGreenhouse, LeverChangedFreshteamBreezy HRno first choicenothing named
Three alternatives
Ceipal, JazzHR, iCIMSNine alternatives
BambooHR, Breezy HR, Bullhorn, Greenhouse, JazzHR, Recruit CRM, Rippling, Workable, Zoho RecruitTwo alternatives
JazzHR, Zoho RecruitDeepSeek V4 FlashGreenhouseagainst: iCIMSGreenhouseHeldno first choiceagainst: BambooHR100Hiresagainst: Greenhouse, WorkableGreenhouseagainst: iCIMSagainst: Oracle Taleo, Recooty, Recruitee, Trakstar Hire, UKG Pro, Workday Recruiting, iCIMS
Two alternatives
Ashby, LeverTwo alternatives
Lever, WorkableFour alternatives
ApplicantStack, Breezy HR, TalentHR, Zoho RecruitFour alternatives
Ashby, Lever, Pinpoint, WorkableLlama 4 MaverickGreenhouseWorkableChangedno first choiceBreezy HRPinpointnothing named
Two alternatives
JazzHR, iCIMSTwo alternatives
Ashby, PinpointOne alternative
PinThree alternatives
Gem, Greenhouse, WorkableQwen 3.7 FlashGreenhouseAshbyChangedGreenhouseBreezy HRno first choiceagainst: Oracle Taleoagainst: Greenhouse, Indeed Apply, Lever, LinkedIn, Oracle Taleo, Workday Recruiting, iCIMS
Two alternatives
Ashby, LeverThree alternatives
Greenhouse, Lever, SmartRecruitersSix alternatives
BambooHR, Deel Hire, Lever, Rippling, Workable, Zoho RecruitThree alternatives
JazzHR, Start, Zoho RecruitKimi K2GreenhouseWorkableChangedGreenhouseagainst: Oracle TaleoFreshteam, Zoho RecruitGreenhouseagainst: JazzHR, SmartRecruiters, iCIMSagainst: Oracle Taleo, SAP SuccessFactors Recruiting, Workday Recruiting, iCIMS
Six alternatives
Ashby, BambooHR, JazzHR, Lever, Paycor, WorkableTwo alternatives
Greenhouse, LeverSix alternatives
Ashby, JazzHR, Lever, Workable, Workday Recruiting, iCIMSFour alternatives
100Hires, ApplicantStack, Breezy HR, JazzHRFour alternatives
Lever, Pinpoint, Spark Hire ATS, WorkableGLM 4.7 FlashXGreenhouseAshby, WorkableChangedno first choiceBreezy HR, Homebase, Zoho Recruitagainst: Workableno first choiceagainst: Jobvite, SAP SuccessFactors Recruiting, Workday Recruiting, iCIMS
Three alternatives
Lever, Rippling, WorkableOne alternative
LeverFour alternatives
100Hires, ApplicantStack, JazzHR, ManatalMiniMax M2.5Greenhouse, LeverGreenhouse, LeverHeldFreshteamManatalno first choicenothing named
Two alternatives
Bullhorn, WorkableTwo alternatives
Ashby, BambooHRSix alternatives
BambooHR, Breezy HR, Cornerstone OnDemand, Greenhouse, JazzHR, WorkableThree alternatives
Breezy HR, Freshteam, Zoho RecruitGPT-6 LunaAshbyGreenhouseChangedGreenhouseZoho Recruitno first choicenothing named
Two alternatives
Greenhouse, LeverTwo alternatives
Ashby, LeverSix alternatives
Ashby, BambooHR, Lever, Workable, Workday Recruiting, iCIMSThree alternatives
Breezy HR, Indeed 's employer dashboard, ManatalMuse Glimmer 30BGreenhouseGreenhouseHeldagainst: iCIMSGreenhouseBreezy HR, Zoho Recruitno first choiceagainst: ADP, Bond Adapt, Jobvite, Kenea/BrassRing, Oracle Taleo, Personio, SAP SuccessFactors Recruiting, Sage, Utilpro, Workday Recruiting
One alternative
LeverThree alternatives
Lever, Pinpoint, WorkableSeven alternatives
Breezy HR, Lever, SmartRecruiters, Workable, Workday Recruiting, Zoho Recruit, iCIMSTwo alternatives
100Hires, ApplicantStackBold 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 11:44 | yes | 9 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:13 | yes | 4 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:00 | yes | 14 | 24 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 10:19 | yes | 20 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:08 | yes | 23 | 9 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:23 | yes | 7 | 4 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:06 | yes | 24 | 34 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:06 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:35 | no | 0 | 31 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:29 | yes | 9 | 23 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:36 | yes | 21 | 103 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:56 | yes | 9 | 18 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:01 | yes | 3 | 16 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:09 | yes | 20 | 27 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:07 | no | 0 | 4 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:39 | yes | 2 | 4 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:07 | yes | 15 | 31 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 09:25 | yes | 20 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:00 | yes | 21 | 8 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:54 | yes | 5 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:35 | yes | 23 | 22 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:39 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:54 | yes | 5 | 19 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:20 | yes | 10 | 14 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:49 | yes | 19 | 20 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:47 | no | 0 | 8 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:44 | yes | 3 | 11 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:35 | yes | 14 | 16 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:11 | yes | 10 | 8 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:30 | yes | 5 | 9 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:45 | yes | 11 | 20 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 09:04 | yes | 20 | 6 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:26 | yes | 23 | 9 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:34 | yes | 9 | 6 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:05 | yes | 20 | 34 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:03 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:36 | yes | 5 | 21 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:02 | yes | 20 | 32 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:06 | no | 0 | 42 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:38 | yes | 5 | 13 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:15 | yes | 8 | 23 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:04 | yes | 22 | 30 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:39 | yes | 9 | 6 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:31 | no | 0 | 3 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:33 | yes | 16 | 21 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 07:58 | yes | 19 | 3 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:16 | yes | 22 | 8 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:16 | yes | 5 | 4 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:59 | yes | 22 | 25 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:22 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:53 | yes | 5 | 20 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:41 | yes | 8 | 15 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:26 | yes | 14 | 24 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:33 | yes | 5 | 19 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:16 | yes | 4 | 11 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:06 | yes | 13 | 23 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:47 | no | 0 | 10 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:26 | no | 0 | 10 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:55 | yes | 16 | 27 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 08:54 | yes | 20 | 5 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:42 | yes | 19 | 24 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:28 | no | 0 | 8 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:30 | yes | 24 | 43 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:34 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:39 | no | 0 | 40 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:01 | yes | 13 | 22 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:43 | yes | 14 | 91 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:34 | no | 0 | 10 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:05 | yes | 4 | 18 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:37 | yes | 15 | 27 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:11 | yes | 17 | 8 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:10 | no | 0 | 6 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 12:15 | yes | 24 | 60 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 08:24 | yes | 19 | 4 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:51 | yes | 25 | 8 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:55 | yes | 5 | 4 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:50 | yes | 24 | 33 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:33 | yes | 5 | 1 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:41 | no | 0 | 32 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:13 | yes | 20 | 20 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:16 | yes | 23 | 35 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:50 | yes | 13 | 27 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:11 | yes | 2 | 20 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:02 | yes | 20 | 29 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
Taleo read as Oracle Taleo
Taleo (Oracle Taleo) read as Oracle Taleo
Taleo (Oracle) read as Oracle Taleo
Workday read as Workday Recruiting
iCIMS Talent Cloud read as iCIMS
Unresolved, counted raw
BambooHR Hiring
Bond Adapt
Ceipal
Indeed
's employer dashboard
Kenea/BrassRing
Kula
Recruiterbox
Spark Hire ATS
Utilpro
Discontinued, still offered
No shut-down product was recommended here.