AI recruiting assistants
Asked as “AI recruiter”, and as “AI-powered candidate screening tool”, on behalf of a mid-market B2B company. 49 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
31%
Contested · Workable 22%
31Manatal22Workable10Greenhouse37others
31% of first choices, contested.
Since September 2026↗new leaderNew leader since September 2026: Manatal (33%) replaces GoPerfect (19% then, 2% now), 31 points clear, past the 13-point floor.Manatal leads at 33%, replacing GoPerfect, which led at 19% and stands at 2% now: 31 points clear, 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
Manatal29%Contested▼−1Since September 2026: 25% → 24%, −1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →Mid-marketManatal31%Contested↗new leaderNew leader since September 2026: Manatal (33%) replaces GoPerfect (19% then, 2% now), 31 points clear, past the 13-point floor.This pageEnterprise
Eightfold AI44%Clear leader▲+12Since September 2026: 32% → 45%, +12 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →
Manatal29%Contested▼−1Since September 2026: 25% → 24%, −1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →Mid-marketManatal31%Contested↗new leaderNew leader since September 2026: Manatal (33%) replaces GoPerfect (19% then, 2% now), 31 points clear, past the 13-point floor.This pageEnterpriseEightfold AI44%Clear leader▲+12Since September 2026: 32% → 45%, +12 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
01Manatal31%0%24endorsed leader▲+21Since September 2026: 12% → 33%, +21 points. Past the 13-point floor: movement. Read over the models both editions asked.12% → 33%
Manatal31%0%24endorsed leader▲+21Since September 2026: 12% → 33%, +21 points. Past the 13-point floor: movement. Read over the models both editions asked.12% → 33%02
Workable22%4%26accepted challenger▲+7Since September 2026: 17% → 24%, +7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.17% → 24%
Workable22%4%26accepted challenger▲+7Since September 2026: 17% → 24%, +7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.17% → 24%03
Greenhouse10%23%26accepted challenger▲+5Since September 2026: 5% → 10%, +5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.5% → 10%
Greenhouse10%23%26accepted challenger▲+5Since September 2026: 5% → 10%, +5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.5% → 10%04
Zoho Recruit8%0%13accepted challenger▲+7Since September 2026: 2% → 10%, +7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 10%
Zoho Recruit8%0%13accepted challenger▲+7Since September 2026: 2% → 10%, +7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 10%05
Gem6%0%13accepted challenger▲+5Since September 2026: 2% → 7%, +5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 7%
Gem6%0%13accepted challenger▲+5Since September 2026: 2% → 7%, +5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 7%06
Humanly4%10%10accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%
Humanly4%10%10accepted 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
Ashby4%17%12accepted challenger▼−7Since September 2026: 7% → 0%, −7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.7% → 0%
Ashby4%17%12accepted challenger▼−7Since September 2026: 7% → 0%, −7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.7% → 0%08
Juicebox2%0%10accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%
Juicebox2%0%10accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%09
HireVue2%35%23criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%
HireVue2%35%23criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%10Eightfold AI2%38%26criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%
Eightfold AI2%38%26criticized 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 five products at 0%, ordered by negative rate
15
Workday Recruiting0%75%12criticized 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%75%12criticized 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
Paradox0%22%27accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
Paradox0%22%27accepted 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
Lever0%20%20accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
Lever0%20%20accepted 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
hireEZ0%6%18accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
hireEZ0%6%18accepted 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
SeekOut0%0%18accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 0%
SeekOut0%0%18accepted 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
Manatal vs GemManatal vs HumanlyManatal vs AshbyManatal vs JuiceboxWorkable vs GreenhouseWorkable vs Zoho RecruitWorkable vs GemWorkable vs HumanlyWorkable vs AshbyWorkable vs JuiceboxGreenhouse vs Zoho RecruitGreenhouse vs GemGreenhouse vs HumanlyGreenhouse vs AshbyGreenhouse vs JuiceboxZoho Recruit vs GemZoho Recruit vs HumanlyZoho Recruit vs AshbyZoho Recruit vs JuiceboxGem vs HumanlyGem vs AshbyGem vs JuiceboxHumanly vs AshbyHumanly vs JuiceboxAshby vs Juicebox
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
01Manatal31%
Manatal31%02Workable22%
Workable22%03Greenhouse10%
Greenhouse10%04Zoho Recruit8%
Zoho Recruit8%05Gem6%
Gem6%06Humanly4%
Humanly4%07Ashby4%
Ashby4%08Juicebox2%
Juicebox2%09HireVue2%
HireVue2%10Eightfold AI2%
Eightfold AI2%11SeekOut0%
SeekOut0%12hireEZ0%
hireEZ0%13Paradox0%
Paradox0%14Lever0%
Lever0%15Workday Recruiting0%
Workday Recruiting0%What they warned about
Two of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, 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 Recruiting75%
9 of 12 labels negative · 9 of 14 models · 7 hard negative
“Mobley v. Workday, Inc., has drawn national attention, where the plaintiff alleged that Workday's AI-powered applicant screening tools discriminated against applicants based on race, age, and disability.” Claude Haiku 4.5, negative prompt
HireVue35%
8 of 23 labels negative · 7 of 14 models · 4 hard negative
“HireVue is one of the vendors named in ongoing FCRA investigations and in a 2025 disability / race complaint.” Muse Glimmer 30B, negative prompt
Eightfold AI38%
10 of 26 labels negative · 6 of 14 models · 4 hard negative
“Eightfold AI and Workday's AI screening modules currently carry the most significant legal and reputational risk based on active litigation.” DeepSeek V4 Flash, negative prompt
Paradox22%
6 of 27 labels negative · 5 of 14 models · 1 hard negative
“Critics argue that interpreting text messages for personality traits lacks scientific rigor” 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
77 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. 1024 links across 315 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.
vendor site · Pin34 answers · 48 citations · 12 models
vendor site · Lever24 answers · 26 citations · 11 models
23 answers · 25 citations · 9 models
vendor site · Greenhouse23 answers · 24 citations · 11 models
vendor site · HeroHunt.ai20 answers · 31 citations · 10 models
18 answers · 25 citations · 9 models
vendor site · Recruiterflow17 answers · 19 citations · 9 models
vendor site · Guideflow16 answers · 16 citations · 9 models
vendor site · Zapier16 answers · 16 citations · 10 models
vendor site · Metaview15 answers · 18 citations · 7 models
vendor site · Juicebox15 answers · 17 citations · 8 models
vendor site · Rework15 answers · 16 citations · 11 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.
23 answers · 11 models
19 answers · 8 models
16 answers · 7 models
16 answers · 9 models
16 answers · 10 models
12 answers · 9 models
11 answers · 8 models
11 answers · 8 models
10 answers · 9 models
10 answers · 5 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 “ai recruiter”, “ai recruiting tools”, “best ai recruiter”. 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 |
|---|---|---|---|---|---|---|---|
| Manatal manatal.com | 31% | 294 | 2,400 | 267 | 73,150 | 120 | |
| Workable workable.com | 22% | 308 | 14,800 | 520 | 698,499 | $14,562 | 77 |
| Greenhouse greenhouse.com | 10% | 419 | 301,000 | 52,273 | 62,551 | $5,545 | 74 |
| Zoho zoho.com Zoho Recruit 8% | 8% | 322 | 2,900 | 46 | 1,216,894 company | $51,031 | 119 |
| Gem gem.com | 6% | 209 | 246,000 | 225,116 | 16,291 | 10 | |
| Humanly humanly.io | 4% | 21 | 2,900 | 1,225 | 18,392 | 11 | |
| Ashby ashbyhq.com | 4% | 160 | 49,500 | 3,112 | 216,820 | 16 | |
| Juicebox juicebox.ai | 2% | 87 | 49,500 | 976 | 40,220 | $2,850 | 88 |
| Hirevire hirevire.com | 2% | 65 | 210 | 0 | 444 | 0 | |
| Breezy breezy.hr Breezy HR 2% | 2% | 189 | 3,600 | 59 | 178,670 company | $56 | 25 |
Google's top ten for the three searches hold 20 sites; 5 of them are among the sites the models cited here (hiretruffle.com, metaview.ai, peoplemanagingpeople.com, recruiterflow.com, zapier.com). The first result for “ai recruiter” is reddit.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 AI recruiter for a mid-market B2B company?”Paraphrase“Which AI-powered candidate screening tool would you recommend to a mid-sized B2B company?”Comparative“What are the top AI recruiting tools and how do they differ?”Budget-constrained“What is the best AI recruiter for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating an AI recruiter. What should we look at?”Negative“Which AI recruiting tools should I avoid or be cautious about?”
Claude Haiku 4.5GoPerfectno first choiceChangedHeyMiloManatal, Zoho Recruitno first choiceagainst: Workday Recruiting, iTutorGroup
Five alternatives
Ashby, Greenhouse, Manatal, Pin, hireEZEight alternatives
Eightfold AI, HireVue, Maki People, Metaview, Paradox, SeekOut Recruit, Textio, hireEZFour alternatives
HiredAI, JazzHR, Pin, RecootyGPT-5.4 miniGemGreenhouseChangedno first choiceWorkableagainst: Humanlyno first choicenothing named
Two alternatives
100Hires, GreenhouseFour alternatives
HireVue, Lever, Paradox, WorkableFour alternatives
Eightfold AI, Paradox, SeekOut, WorkableGemini 3.5 FlashGemHumanlyChangedagainst: HiredScore, ParadoxParadoxagainst: Eightfold AIManatalagainst: Eightfold AI, LinkedIn Recruiter, Paradox, hireEZno first choiceagainst: Ashby, Eightfold AI, Greenhouse, HireVue, Lever, Workday Recruiting
Four alternatives
Juicebox, Metaview, Moonhub, hireEZThree alternatives
CodeSignal, TestGorilla, WorkableEight alternatives
Findem, Gem, HireVue, Humanly, Juicebox, LinkedIn"s Hiring Assistant, Manatal, TruffleFour alternatives
Breezy HR, Juicebox, Recooty, Zoho RecruitPerplexity SonarWorkableagainst: GreenhouseWorkableHeldno first choiceManatalno first choicenothing named
Three alternatives
LinkedIn Hiring Assistant, Paradox, SeekOutThree alternatives
Humanly, Manatal, PinTwo alternatives
AvaHR, TruffleGrok 4.1 FastWorkableManatalChangedno first choiceManatalManatalagainst: Amazon’s Recruiting AI, Eightfold AI, Paradox, Workday Recruiting
Four alternatives
Greenhouse, Lever, Manatal, PinThree alternatives
Hirevire, Recruitee, Skima AITwo alternatives
Qureos, Zoho RecruitTwo alternatives
Juicebox, Monday AgentsMistral SmallWorkableEightfold AI, Skima AIChangedno first choiceManatal, Zoho Recruitno first choicenothing named
Three alternatives
Greenhouse, SeekOut, hireEZTwo alternatives
Recruitee, VidCruiterDeepSeek V4 FlashGemagainst: ParadoxWorkableChangedagainst: Greenhouseno first choiceagainst: Eightfold AI, HireVueManatalno first choiceagainst: Amazon's AI Recruiting Tool, Eightfold AI, HireVue, Workday Recruiting
Two alternatives
Workable, hireEZThree alternatives
GoPerfect, Lever, ManatalThree alternatives
Breezy HR, Huntlo, Zoho RecruitLlama 4 MaverickGreenhouseno first choiceChangedno first choiceManatalno first choicenothing named
Three alternatives
SeekOut, Workable, hireEZOne alternative
Zoho RecruitQwen 3.7 FlashWorkableHirevireChangedEightfold AI, Paradox, SeekOutagainst: Modern HireManatal, Zoho Recruitagainst: Greenhouse, Leverno first choiceagainst: Checkster, Greenhouse, HireVue, Lever, Paradox, Pymetrics, Workday Recruiting
Three alternatives
Greenhouse, SeekOut, hireEZTwo alternatives
Greenhouse, ParadoxThree alternatives
Gem, HireVue, hireEZKimi K2Greenhouse, WorkableWorkableChangedagainst: Leverno first choiceManatalno first choiceagainst: Amazon, Eightfold AI, HireVue, Workday Recruiting
Two alternatives
Lever, ParadoxTwo alternatives
Breezy HR, RecruiteeEight alternatives
Eightfold AI, Gem, HireVue, Juicebox, Paradox, Phenom, SeekOut, hireEZTwo alternatives
HiredAI, Zoho RecruitGLM 4.7 FlashXGreenhouseManatalChangedno first choiceManatalagainst: Workableno first choiceagainst: Amazon’s Past "Recruiting Engine", CVViZ, Eightfold AI, HireVue, Ideal, Skillate, Workday Recruiting
Seven alternatives
Alex, Ashby, BrightHire, Gem, Humanly, Lever, ManatalThree alternatives
Hirevire, Skima AI, WorkableThree alternatives
Metaview, Qureos, Zoho RecruitMiniMax M2.5WorkableHireVue, JuiceboxChangedno first choiceManatal, Zoho Recruitno first choiceagainst: Paradoxagainst: Amazon's AI Recruiting Tool, Workday Recruiting
Four alternatives
Greenhouse, Humanly, Lever, SeekOutTwo alternatives
Metaview, PymetricsOne alternative
HirevireGPT-6 LunaAshbyAshbyHeldno first choiceBreezy HRno first choiceagainst: HireVue, Workday AI screening
Two alternatives
Gem, hireEZOne alternative
WorkableSeven alternatives
Ashby, Eightfold AI, Greenhouse, HireVue, Paradox, SeekOut, Workday RecruitingOne alternative
Zoho RecruitMuse Glimmer 30BGreenhouse, WorkableHumanlyChangedagainst: Eightfold AIEightfold AI, PinManatalno first choiceagainst: Amazon's abandoned recruiting engine, Ashby, Eightfold AI, Greenhouse, HireVue, Lever By Employ, Workday Recruiting
Four alternatives
Ashby, Gem, GoPerfect, hireEZTwo alternatives
Lever, WorkableSix alternatives
Harver, HireVue, Paradox, Qureos, Workable, hireEZThree alternatives
Hirevire, Pin, Zoho RecruitBold 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 11:32 | yes | 9 | 7 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:56 | yes | 2 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:37 | yes | 19 | 29 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 09:29 | yes | 20 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:50 | yes | 22 | 8 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:43 | yes | 5 | 4 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:16 | yes | 25 | 29 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:58 | yes | 5 | 3 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 07:59 | yes | 5 | 22 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:08 | yes | 20 | 26 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:01 | yes | 25 | 36 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:42 | yes | 7 | 23 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:07 | yes | 4 | 13 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:56 | yes | 11 | 15 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:59 | no | 0 | 4 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:03 | yes | 6 | 8 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:58 | yes | 18 | 27 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 07:59 | yes | 20 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:48 | yes | 24 | 7 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:10 | yes | 5 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:33 | yes | 23 | 24 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:31 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:22 | yes | 10 | 56 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:28 | yes | 20 | 22 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:05 | yes | 15 | 66 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:21 | yes | 5 | 10 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:33 | yes | 4 | 19 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:27 | yes | 11 | 19 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:49 | yes | 15 | 12 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:05 | yes | 8 | 12 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:17 | yes | 9 | 24 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 09:24 | yes | 19 | 5 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:57 | yes | 22 | 9 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:34 | yes | 8 | 6 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:22 | yes | 22 | 29 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:18 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:59 | no | 0 | 30 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:39 | yes | 15 | 28 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:27 | yes | 20 | 77 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:22 | yes | 15 | 25 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:40 | yes | 7 | 32 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:29 | yes | 14 | 21 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:58 | yes | 9 | 8 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:49 | yes | 3 | 4 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:51 | yes | 14 | 21 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 07:49 | yes | 20 | 2 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:52 | yes | 23 | 7 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:49 | yes | 5 | 4 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 12:08 | yes | 24 | 22 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:34 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:49 | yes | 5 | 18 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:51 | yes | 9 | 13 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:18 | yes | 21 | 142 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:41 | yes | 5 | 13 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:21 | yes | 2 | 18 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:00 | yes | 14 | 23 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:08 | no | 0 | 5 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:01 | no | 0 | 8 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:56 | yes | 12 | 27 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 11:41 | yes | 20 | 4 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:50 | yes | 14 | 7 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:58 | no | 0 | 7 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:58 | yes | 24 | 34 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:05 | yes | 5 | 4 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:51 | no | 0 | 28 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:11 | yes | 10 | 15 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:46 | yes | 15 | 71 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:44 | yes | 5 | 14 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:27 | yes | 3 | 21 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:11 | yes | 15 | 34 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:42 | yes | 18 | 9 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:37 | yes | 6 | 8 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:54 | yes | 23 | 26 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 11:40 | yes | 29 | 5 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:39 | yes | 24 | 10 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:42 | yes | 5 | 7 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:05 | yes | 23 | 45 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:00 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:18 | no | 0 | 40 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:00 | yes | 24 | 28 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 12:12 | yes | 24 | 139 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:50 | yes | 10 | 28 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:01 | yes | 4 | 25 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:23 | yes | 23 | 31 s |
Noise floor in this category
Flips between the edition run and its calibration repeat. Six prompts per model is a small sample; the index-wide floor is the number to trust.
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Claude Haiku 4.5
3 of 4 flipped
GPT-5.4 mini
3 of 3 flipped
Gemini 3.5 Flash
3 of 4 flipped
Perplexity Sonar
0 of 3 flipped
Grok 4.1 Fast
2 of 4 flipped
Mistral Small
2 of 3 flipped
DeepSeek V4 Flash
2 of 3 flipped
Llama 4 Maverick
1 of 2 flipped
Qwen 3.7 Flash
4 of 4 flipped
Kimi K2
2 of 3 flipped
GLM 4.7 FlashX
2 of 3 flipped
MiniMax M2.5
3 of 3 flipped
GPT-6 Luna
0 of 3 flipped
Muse Glimmer 30B
2 of 4 flipped
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
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Category-scoped readings
Eightfold read as Eightfold AI
Workday read as Workday Recruiting
Workday (AI-powered recruiting module) read as Workday Recruiting
Workday Talent Acquisition read as Workday Recruiting
Unresolved, counted raw
AiRA chat
Amazon's abandoned recruiting engine
Amazon’s Past "Recruiting Engine"
Closely
JusRecruit
Lever By Employ
LinkedIn"s Hiring Assistant
Maki People
Mya
Scout Talent Fetcher
Skillate
Sonia
TextKernel
Workday AI screening
Discontinued, still offered
No shut-down product was recommended here.