Applicant tracking systems for small business buyers
Asked as “applicant tracking system”, and as “ATS”, on behalf of a small B2B company. 55 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
27%
Contested · Zoho Recruit 22%
27Breezy HR22Zoho Recruit16Workable35others
27% of first choices, contested.
Since September 2026▼−16Since September 2026: 41% → 25%, −16 points. Past the 13-point floor: movement. Read over the models both editions asked.Breezy HR held the lead, −16 points on 41%, past the 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.This pageMid-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.Standing →
Breezy HR27%Contested▼−16Since September 2026: 41% → 25%, −16 points. Past the 13-point floor: movement. Read over the models both editions asked.This pageMid-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.Standing →The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for a small B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Breezy HR27%0%54accepted challenger▼−16Since September 2026: 41% → 25%, −16 points. Past the 13-point floor: movement. Read over the models both editions asked.41% → 25%
Breezy HR27%0%54accepted challenger▼−16Since September 2026: 41% → 25%, −16 points. Past the 13-point floor: movement. Read over the models both editions asked.41% → 25%02
Zoho Recruit22%9%47accepted challenger▲+12Since September 2026: 11% → 23%, +12 points. Inside the 13-point floor: within noise. Read over the models both editions asked.11% → 23%
Zoho Recruit22%9%47accepted challenger▲+12Since September 2026: 11% → 23%, +12 points. Inside the 13-point floor: within noise. Read over the models both editions asked.11% → 23%03
Workable16%20%49accepted challenger▼−3Since September 2026: 20% → 17%, −3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.20% → 17%
Workable16%20%49accepted challenger▼−3Since September 2026: 20% → 17%, −3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.20% → 17%04
JazzHR15%5%55accepted challenger▲+10Since September 2026: 4% → 15%, +10 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 15%
JazzHR15%5%55accepted challenger▲+10Since September 2026: 4% → 15%, +10 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 15%05
Ashby5%9%11accepted challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 4%
Ashby5%9%11accepted challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 4%06
Lever4%38%13criticized challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 4%
Lever4%38%13criticized challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 4%07
100Hires2%0%15accepted challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 2%
100Hires2%0%15accepted challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 2%08Greenhouse2%47%17criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%
Greenhouse2%47%17criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%Show the three products at 0%, ordered by negative rate
09
BambooHR0%17%24accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 0%
BambooHR0%17%24accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 0%11
Recruitee0%9%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%
Recruitee0%9%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%10
Manatal0%7%14accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 0%
Manatal0%7%14accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 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 →
0102030405060708091011Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01Breezy HR27%
Breezy HR27%02Zoho Recruit22%
Zoho Recruit22%03Workable16%
Workable16%04JazzHR15%
JazzHR15%05Ashby5%
Ashby5%06Lever4%
Lever4%07100Hires2%
100Hires2%08Greenhouse2%
Greenhouse2%09BambooHR0%
BambooHR0%10Manatal0%
Manatal0%11Recruitee0%
Recruitee0%What they warned about
Zero of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, 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, 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 Recruiting100%
8 of 8 labels negative · 8 of 14 models · 5 hard negative
“Buying into this ecosystem requires a dedicated IT or HR administrator to maintain it. It is a sledgehammer when you need a hammer.” Qwen 3.7 Flash, negative prompt
Greenhouse47%
8 of 17 labels negative · 7 of 14 models · 1 hard negative
“Key ATS to Avoid or Approach with Caution: **Greenhouse, Lever, iCIMS, Workday Recruiting, Oracle Taleo, SAP SuccessFactors, SmartRecruiters**” Grok 4.1 Fast, negative prompt
Oracle Taleo100%
6 of 6 labels negative · 6 of 14 models · 5 hard negative
“Solutions like **Taleo** or **Oracle** are generally overkill for a 30-person team—they are rigid, slow, and require consultants to configure.” Qwen 3.7 Flash, scale prompt
iCIMS86%
6 of 7 labels negative · 6 of 14 models · 3 hard negative
“it has historically been known for being clunky and expensive... small businesses often find the "heavy" interface slows down the recruiting process” Qwen 3.7 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
78 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. 984 links across 194 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.
47 answers · 66 citations · 12 models
41 answers · 41 citations · 12 models
vendor site · Pin35 answers · 40 citations · 10 models
33 answers · 43 citations · 11 models
vendor site · Recruitee29 answers · 33 citations · 12 models
vendor site · Spark Hire29 answers · 32 citations · 11 models
vendor site · Zapier29 answers · 29 citations · 11 models
28 answers · 31 citations · 10 models
23 answers · 28 citations · 10 models
23 answers · 23 citations · 12 models
23 answers · 23 citations · 7 models
vendor site · Rework20 answers · 23 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 · 11 models
41 answers · 12 models
28 answers · 10 models
28 answers · 9 models
28 answers · 11 models
27 answers · 11 models
27 answers · 11 models
26 answers · 11 models
23 answers · 7 models
17 answers · 10 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 |
|---|---|---|---|---|---|---|---|
| Breezy breezy.hr Breezy HR 27% | 27% | 189 | 3,600 | 59 | 178,670 company | $56 | 25 |
| Zoho zoho.com Zoho Recruit 22% | 22% | 322 | 2,900 | 46 | 1,216,894 company | $51,031 | 119 |
| Workable workable.com | 16% | 308 | 14,800 | 520 | 698,499 | $14,562 | 77 |
| JazzHR jazzhr.com | 15% | 210 | 14,800 | 70 | 11,754 | 19 | |
| Ashby ashbyhq.com | 5% | 160 | 49,500 | 3,112 | 216,820 | 16 | |
| ApplicantStack applicantstack.com | 4% | 21 | 1,000 | 1 | 106,792 | 5 | |
| Lever lever.co | 4% | 275 | 60,500 | 24,663 | 189,552 | $657 | 7 |
| 100Hires 100hires.com | 2% | 74 | 90 | 2 | 705 | 4 | |
| Dover ATS dover.com | 2% | 1 | |||||
| Recruit CRM recruitcrm.io | 2% | 113 | 2,400 | 149 | 6,950 | 18 |
Google's top ten for the three searches hold 14 sites; 3 of them are among the sites the models cited here (peoplemanagingpeople.com, 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 small B2B company?”Paraphrase“Which ATS would you recommend to a small business that sells to other businesses?”Comparative“What are the top applicant tracking systems for a small team and how do they differ?”Budget-constrained“What is the best applicant tracking system for a small company with a tight budget?”Scale-constrained“We are a 30 person company evaluating an applicant tracking system. What should we look at?”Negative“Which applicant tracking systems should a small business avoid or be cautious about?”
Claude Haiku 4.5Workableno first choiceChangedBreezy HR, JazzHRBreezy HR, Zoho Recruitno first choicenothing named
Five alternatives
BambooHR, Breezy HR, JazzHR, JuggleHire, Zoho RecruitFour alternatives
Lever, Manatal, Workable, Zoho RecruitTwo alternatives
JazzHR, ManatalGPT-5.4 miniZoho RecruitWorkableChangedBreezy HR, JazzHRagainst: AshbyApplicantStackagainst: Workableno first choiceagainst: Greenhouse, Workable
Two alternatives
100Hires, AvaHRThree alternatives
BambooHR, Lever, Zoho RecruitThree alternatives
Greenhouse, Lever, WorkableTwo alternatives
CATS, Zoho RecruitGemini 3.5 FlashAshby, WorkableWorkableChangedWorkableZoho RecruitBreezy HRagainst: BambooHR, Gusto, Ripplingagainst: ADP Workforce Now, Bullhorn, Dayforce, Loxo, Oracle Taleo, Paychex, SAP SuccessFactors Recruiting, Workday Recruiting
Five alternatives
BambooHR, Breezy HR, JazzHR, Rippling, TeamtailorThree alternatives
Ashby, Breezy HR, TeamtailorThree alternatives
BambooHR, Breezy HR, JazzHRThree alternatives
Breezy HR, JazzHR, Ninja GigThree alternatives
Homerun, JazzHR, WorkablePerplexity SonarWorkableBreezy HR, WorkableChangedWorkableBreezy HRno first choiceagainst: ADP, Greenhouse, Oracle Taleo, Workday Recruiting, iCIMS
Three alternatives
Breezy HR, JazzHR, Zoho RecruitOne alternative
JazzHRFour alternatives
Breezy HR, JazzHR, Pinpoint, Zoho RecruitTwo alternatives
Manatal, Zoho RecruitGrok 4.1 FastZoho RecruitJazzHRChanged100HiresDover ATSagainst: Manatalno first choiceagainst: Greenhouse, Lever, Oracle Taleo, SAP SuccessFactors Recruiting, SmartRecruiters, Workday Recruiting, Zoho Recruit, iCIMS
Four alternatives
100Hires, Breezy HR, JazzHR, WorkableThree alternatives
Breezy HR, Recruitee, WorkableFour alternatives
Breezy HR, JazzHR, Workable, Zoho RecruitOne alternative
Zoho RecruitThree alternatives
Breezy HR, Recruitee, Zoho RecruitMistral SmallJazzHRAshbyChangedJazzHRBreezy HRno first choiceagainst: Zoho Recruit
Three alternatives
100Hires, Lever, PinpointThree alternatives
Greenhouse, Manatal, Zoho RecruitFive alternatives
BambooHR, Breezy HR, Freshteam, Workable, Zoho RecruitTwo alternatives
JazzHR, WorkableDeepSeek V4 FlashBreezy HR, JazzHRBreezy HRChangedagainst: BambooHR, Greenhouse, Lever, WorkableJazzHRBreezy HR, Zoho Recruitagainst: JazzHRJazzHRagainst: Greenhouse, Lever, Loxo, Oracle Taleo, SAP SuccessFactors Recruiting, Workable, Workday Recruiting, Zoho Recruit, iCIMS
Two alternatives
Workable, Zoho RecruitOne alternative
JazzHRFive alternatives
100Hires, BambooHR, Breezy HR, Workable, Zoho RecruitTwo alternatives
ApplicantStack, TalentHRFour alternatives
BambooHR, Breezy HR, Workable, Zoho RecruitLlama 4 Maverickno first choiceWorkableChangedBreezy HRBreezy HRno first choicenothing named
Two alternatives
BambooHR, JazzHRTwo alternatives
JazzHR, PinpointFour alternatives
JazzHR, Pinpoint, Workable, Zoho RecruitQwen 3.7 FlashJazzHRagainst: HubSpot, SalesforceZoho RecruitChangedagainst: BullhornBreezy HRagainst: RecruiteeBreezy HR, JazzHRno first choiceagainst: Oracle, Oracle Taleoagainst: SAP SuccessFactors Recruiting, Workday Recruiting, iCIMS
Three alternatives
Ashby, Rippling, Zoho RecruitTwo alternatives
ApplicantStack, Breezy HRThree alternatives
100Hires, BambooHR, Zoho RecruitThree alternatives
AvaHR, Homebase, Zoho RecruitKimi K2Breezy HRBreezy HR, JazzHRChangedJazzHRZoho Recruitno first choiceagainst: Oracle Taleo, SAP SuccessFactors Recruiting, Workable, Workday Recruiting, Zoho Recruit, iCIMS
Four alternatives
Greenhouse, JazzHR, Lever, WorkableTwo alternatives
Workable, Zoho RecruitFive alternatives
Breezy HR, Manatal, Recruitee, Workable, Zoho RecruitTwo alternatives
Breezy HR, JazzHRSix alternatives
BambooHR, Breezy HR, Gusto, JazzHR, Rippling, WorkableGLM 4.7 FlashX100Hires, LeverRecruit CRM, Zoho RecruitChangedZoho Recruitagainst: WorkableApplicantStack, Zoho Recruitno first choiceagainst: Avionté, BambooHR, CATS, Greenhouse, Loxo, Workable
Six alternatives
BambooHR, JazzHR, Recruit, SmartRecruiters, Workable, Zoho RecruitFour alternatives
Bitrix24, HubSpot, Recruitee, SalesforceFour alternatives
Breezy HR, JazzHR, Manatal, TeamtailorTwo alternatives
100Hires, Breezy HRMiniMax M2.5Greenhouse, LeverWorkable, Zoho RecruitChangedno first choiceZoho Recruitno first choiceagainst: JazzHR
One alternative
RecruiteeTwo alternatives
BambooHR, Breezy HRSeven alternatives
100Hires, BambooHR, Breezy HR, JazzHR, Teamtailor, Workable, Zoho RecruitTwo alternatives
Breezy HR, JazzHRGPT-6 LunaAshbyJazzHRChangedBreezy HR, JazzHRZoho Recruitagainst: Workableno first choiceagainst: BambooHR, Greenhouse, Lever, Workable, Workday Recruiting, iCIMS
Two alternatives
Breezy HR, WorkableTwo alternatives
Breezy HR, WorkableFour alternatives
Ashby, Manatal, Recruitee, WorkableOne alternative
Breezy HR’s Bootstrap planMuse Glimmer 30BBreezy HR, WorkableBreezy HRChangedBreezy HRBreezy HRno first choiceagainst: Greenhouse, JazzHR, Lever, Workable, Workday Recruiting
One alternative
JazzHRThree alternatives
JazzHR, Manatal, Zoho RecruitThree alternatives
JazzHR, Manatal, Zoho RecruitThree alternatives
100Hires, JazzHR, Zoho RecruitTwo alternatives
Breezy HR, JazzHRBold 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 07:41 | yes | 9 | 7 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:40 | yes | 2 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:10 | yes | 16 | 22 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 11:01 | yes | 20 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:53 | yes | 21 | 11 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:47 | yes | 5 | 11 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:07 | yes | 20 | 27 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:25 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:12 | no | 0 | 31 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:41 | yes | 14 | 20 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:40 | yes | 18 | 72 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 12:06 | yes | 5 | 14 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:46 | yes | 3 | 14 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:48 | yes | 17 | 51 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:12 | no | 0 | 2 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:39 | yes | 4 | 4 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:28 | yes | 14 | 25 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 09:53 | yes | 20 | 4 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:59 | yes | 23 | 8 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:06 | yes | 12 | 5 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:39 | yes | 22 | 23 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:40 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:17 | yes | 10 | 74 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:09 | yes | 13 | 16 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:28 | yes | 24 | 132 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:52 | yes | 10 | 29 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:09 | yes | 2 | 9 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:27 | yes | 14 | 23 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:28 | yes | 9 | 8 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:28 | yes | 7 | 6 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:54 | yes | 9 | 24 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 09:34 | yes | 19 | 6 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:04 | yes | 22 | 14 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:53 | yes | 8 | 7 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:30 | yes | 9 | 32 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:45 | yes | 5 | 3 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:22 | yes | 9 | 25 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:52 | yes | 14 | 27 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:11 | yes | 14 | 31 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:03 | yes | 7 | 15 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:11 | yes | 6 | 21 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:28 | yes | 14 | 26 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:14 | yes | 10 | 7 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:22 | yes | 4 | 4 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:28 | yes | 13 | 25 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 09:44 | yes | 19 | 3 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:11 | yes | 22 | 7 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:38 | yes | 10 | 5 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:55 | yes | 20 | 25 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:47 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:05 | yes | 10 | 29 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:36 | yes | 9 | 17 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:37 | yes | 23 | 33 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:20 | yes | 13 | 36 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:04 | yes | 3 | 14 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 07:36 | yes | 23 | 38 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:38 | no | 0 | 5 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 08:47 | yes | 11 | 24 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 07:48 | yes | 20 | 5 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:26 | yes | 19 | 9 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:41 | no | 0 | 7 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:34 | yes | 19 | 43 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 07:46 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 07:50 | yes | 5 | 42 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:55 | yes | 14 | 20 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 12:09 | yes | 15 | 62 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:08 | yes | 5 | 22 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:54 | yes | 3 | 14 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:20 | yes | 14 | 28 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:19 | yes | 17 | 10 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:10 | yes | 2 | 8 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:29 | yes | 10 | 20 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 11:09 | yes | 20 | 3 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:26 | yes | 24 | 9 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:19 | yes | 12 | 4 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:19 | yes | 23 | 31 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:53 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:52 | no | 0 | 30 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:36 | yes | 18 | 25 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:56 | yes | 24 | 85 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:09 | yes | 17 | 34 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:04 | yes | 4 | 17 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:03 | yes | 14 | 25 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
Breezy read as Breezy HR
LeverTRM read as Lever
Oracle Workday (HCM) read as Workday Recruiting
SAP SuccessFactors read as SAP SuccessFactors Recruiting
SAP SuccessFactors (formerly Taleo) read as SAP SuccessFactors Recruiting
Taleo read as Oracle Taleo
Workday read as Workday Recruiting
iCIMS Talent Cloud read as iCIMS
Unresolved, counted raw
Breezy HR’s Bootstrap plan
Dover ATS
Ninja Gig
Recruit (TE Recruit)
Discontinued, still offered
No shut-down product was recommended here.