AI recruiting assistants for enterprise buyers
Asked as “AI recruiter”, and as “AI-powered candidate screening tool”, on behalf of an enterprise B2B company. 45 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
44%
Clear leader
44Eightfold AI07HireVue04GoPerfect44others
44% of first choices, clear leader.
Since September 2026▲+12Since September 2026: 32% → 45%, +12 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Eightfold AI held the lead, +12 points on 32%, 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
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.Standing →Enterprise
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.This page
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.Standing →EnterpriseEightfold AI44%Clear leader▲+12Since September 2026: 32% → 45%, +12 points. Inside the 13-point floor: within noise. Read over the models both editions asked.This pageThe standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Eightfold AI44%22%59endorsed leader▲+12Since September 2026: 32% → 45%, +12 points. Inside the 13-point floor: within noise. Read over the models both editions asked.32% → 45%
Eightfold AI44%22%59endorsed leader▲+12Since September 2026: 32% → 45%, +12 points. Inside the 13-point floor: within noise. Read over the models both editions asked.32% → 45%02
HireVue7%26%39criticized challenger▼−5Since September 2026: 12% → 8%, −5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.12% → 8%
HireVue7%26%39criticized challenger▼−5Since September 2026: 12% → 8%, −5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.12% → 8%03
SeekOut4%11%19accepted challenger=heldSince September 2026: 2% → 3%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 3%
SeekOut4%11%19accepted challenger=heldSince September 2026: 2% → 3%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 3%04
Phenom4%17%23accepted challenger▲+5Since September 2026: 0% → 5%, +5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 5%
Phenom4%17%23accepted challenger▲+5Since September 2026: 0% → 5%, +5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 5%05
Paradox2%4%28accepted challenger▼−2Since September 2026: 5% → 3%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.5% → 3%
Paradox2%4%28accepted challenger▼−2Since September 2026: 5% → 3%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.5% → 3%06
Gem2%6%17accepted challenger=heldSince September 2026: 2% → 3%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 3%
Gem2%6%17accepted challenger=heldSince September 2026: 2% → 3%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 3%07
SmartRecruiters2%6%17accepted challenger=heldSince September 2026: 2% → 3%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 3%
SmartRecruiters2%6%17accepted challenger=heldSince September 2026: 2% → 3%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 3%08
iCIMS2%19%16accepted challenger▼−2Since September 2026: 5% → 3%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.5% → 3%
iCIMS2%19%16accepted challenger▼−2Since September 2026: 5% → 3%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.5% → 3%09
HiredScore2%0%10accepted challenger▲+3Since September 2026: 0% → 3%, +3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 3%
HiredScore2%0%10accepted challenger▲+3Since September 2026: 0% → 3%, +3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 3%10
Pin2%0%10accepted challenger▲+3Since September 2026: 0% → 3%, +3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 3%
Pin2%0%10accepted challenger▲+3Since September 2026: 0% → 3%, +3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 3%11
Workday Recruiting2%32%25criticized challenger▲+3Since September 2026: 0% → 3%, +3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 3%
Workday Recruiting2%32%25criticized challenger▲+3Since September 2026: 0% → 3%, +3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 3%Show the two products at 0%, ordered by negative rate
13
Beamery0%25%16criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
Beamery0%25%16criticized 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
Greenhouse0%14%22accepted challenger▼−8Since September 2026: 8% → 0%, −8 points. Inside the 13-point floor: within noise. Read over the models both editions asked.8% → 0%
Greenhouse0%14%22accepted challenger▼−8Since September 2026: 8% → 0%, −8 points. Inside the 13-point floor: within noise. Read over the models both editions asked.8% → 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 →
01020304050607080910111213Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative60%
Key
01Eightfold AI44%
Eightfold AI44%02HireVue7%
HireVue7%03SeekOut4%
SeekOut4%04Phenom4%
Phenom4%05Paradox2%
Paradox2%06Gem2%
Gem2%07SmartRecruiters2%
SmartRecruiters2%08iCIMS2%
iCIMS2%09HiredScore2%
HiredScore2%10Pin2%
Pin2%11Workday Recruiting2%
Workday Recruiting2%12Greenhouse0%
Greenhouse0%13Beamery0%
Beamery0%What they warned about
Seven of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Llama 4 Maverick, Kimi K2, GLM 4.7 FlashX, MiniMax M2.5 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.
Eightfold AI22%
13 of 59 labels negative · 9 of 14 models · 8 hard negative
“High-Risk Vendors (Active Litigation Alerts) ... Plaintiffs allege that Eightfold’s technology creates unauthorized "credit reports" on job seekers.” Qwen 3.7 Flash, negative prompt
HireVue26%
10 of 39 labels negative · 8 of 14 models · 8 hard negative
“The ACLU and EEOC have recently challenged HireVue, alleging that the platform’s automated scoring discriminates against candidates with disabilities” Qwen 3.7 Flash, negative prompt
Workday Recruiting32%
8 of 25 labels negative · 7 of 14 models · 5 hard negative
“**High‑Risk / Avoid Blind Reliance:** **Workday Recruiting (AI screening module)** – due to multiple bias class‑actions” GLM 4.7 FlashX, negative prompt
Phenom17%
4 of 23 labels negative · 4 of 14 models · 1 hard negative
“Platforms to Avoid ... Phenom | ~$100K+ minimum, scales with users/modules” Kimi K2, budget prompt
What they cite
Citations exist only for the models that return a source list: fourteen of the fourteen in this edition, and all six flagship models on the expanded tier.
Sites the answers cite
81 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. 1179 links across 332 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 · Pin32 answers · 63 citations · 12 models
vendor site · Lever26 answers · 27 citations · 12 models
vendor site · HeroHunt.ai24 answers · 39 citations · 10 models
vendor site · Skima22 answers · 24 citations · 10 models
vendor site · Greenhouse21 answers · 24 citations · 11 models
18 answers · 21 citations · 10 models
vendor site · Phenom18 answers · 20 citations · 10 models
vendor site · Recruiterflow16 answers · 19 citations · 11 models
16 answers · 18 citations · 9 models
vendor site · G215 answers · 29 citations · 8 models
vendor site · Noon14 answers · 34 citations · 7 models
14 answers · 20 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.
26 answers · 12 models
21 answers · 9 models
15 answers · 8 models
14 answers · 10 models
14 answers · 9 models
12 answers · 7 models
12 answers · 10 models
10 answers · 9 models
10 answers · 4 models
10 answers · 7 models
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “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 | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|
| Eightfold eightfold.ai Eightfold AI 44% | 44% | 540 | 4,400 | 187 | 53,360 company | 17 | |
| HireVue hirevue.com | 7% | 357 | 14,800 | 1,147 | 35,611 | 14 | |
| Noon noon.ai Noon AI 4%, Noon 2% | 7% | 12 | |||||
| SeekOut seekout.com | 4% | 205 | 6,600 | 52 | 5,796 | 1 | |
| Phenom phenom.com | 4% | 288 | 18,100 | 2,229 | 24,487 | 0 | |
| GoPerfect goperfect.com | 4% | 14 | 390 | 2 | 7,666 | 0 | 4 |
| candidate.fyi candidate.fyi | 4% | 35 | 210 | 0 | 494 | 10 | |
| Paradox paradox.ai | 2% | 179 | 165,000 | 27,047 | 62,844 | 2 | |
| Gem gem.com | 2% | 209 | 246,000 | 225,116 | 16,291 | 10 | |
| SmartRecruiters smartrecruiters.com | 2% | 151 | 9,900 | 194 | 272,094 | 0 |
Google's top ten for the three searches hold 20 sites; 3 of them are among the sites the models cited here (hiretruffle.com, peoplemanagingpeople.com, recruiterflow.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 an enterprise B2B company?”Paraphrase“Which AI-powered candidate screening tool would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade AI recruiting tools and how do they differ?”Budget-constrained“What is the best AI recruiter for a large company that needs predictable total cost across thousands of users?”Scale-constrained“We are a 5,000 person company with SSO, SOC 2 and procurement review requirements evaluating an AI recruiter. What should we look at?”Negative“Which AI recruiting tools should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5PinEightfold AI, HireVueChangedPiniCIMSno first choiceagainst: Amazon
Three alternatives
Gem, Insight Global, KORE1Two alternatives
Harver, IdealSeven alternatives
Beamery, HireVue, Paradox, Phenom, SmartRecruiters, Workday Recruiting, iCIMSThree alternatives
Eightfold AI, GoPerfect, ManatalGPT-5.4 miniEightfold AIHiredScoreChangedHiredScore, SmartRecruiters, Workday Recruiting, iCIMSSeekOutno first choicenothing named
Five alternatives
Greenhouse, HireVue, Paradox, SeekOut, SmartRecruitersThree alternatives
Eightfold AI, HireVue, JoveoSeven alternatives
Beamery, Eightfold AI, Gem, GoodTime, HireVue, Paradox, PhenomTwo alternatives
Eightfold AI, GreenhouseGemini 3.5 FlashEightfold AIEightfold AIHeldEightfold AIcandidate.fyino first choiceagainst: ChatGPT, Claude, Gemini APIs
Four alternatives
Findem, Gem, SeekOut, hireEZSix alternatives
HireVue, HiredScore, Paradox, SAP SuccessFactors, SmartRecruiters, Workday RecruitingFive alternatives
Findem, HireVue, Paradox, Workday Recruiting, hireEZThree alternatives
Eightfold AI, Paradox, PinPerplexity SonarEightfold AIEightfold AIHeldagainst: GreenhouseEightfold AIGoPerfectagainst: Beamery, Eightfold AI, Phenom, Workday Recruiting, iCIMSno first choicenothing named
Four alternatives
Gem, Greenhouse, Workday Recruiting, iCIMSThree alternatives
Paradox, Skima AI, VidCruiterSeven alternatives
BrightHire, Fastr.ai, Gem, Greenhouse, Paradox, Workday Recruiting, iCIMSTwo alternatives
Monday Agents, SmartRecruitersGrok 4.1 FastEightfold AIEightfold AIHeldagainst: iCIMSEightfold AIWorkableagainst: Beamery, Eightfold AI, Lever, Manatalno first choiceagainst: Ashby, Eightfold AI, Greenhouse, HireVue, Lever, Pymetrics, Workday Recruiting
Five alternatives
Beamery, Greenhouse, Phenom, SeekOut, iCIMSTwo alternatives
HireVue, hireEZSix alternatives
Beamery, Paradox, Phenom, SmartRecruiters, hireEZ, iCIMSTwo alternatives
GoPerfect, PinMistral SmallEightfold AIEightfold AIHeldno first choiceSmartRecruitersagainst: LinkedIn Talent Solutionsno first choiceagainst: Eightfold AI, HireVue, Workday's AI Screening Software, iTutorGroup
Three alternatives
Paradox, Phenom, PinOne alternative
PymetricsOne alternative
PinDeepSeek V4 FlashEightfold AIEightfold AIHeldno first choiceGemagainst: SeekOutno first choiceagainst: Amazon, HireVue's Video Interviewing, Workday's AI Screening
Two alternatives
Beamery, PhenomFour alternatives
Avature, HireVue, Workday Recruiting, X0PA AINine alternatives
Eightfold AI, Greenhouse, HireVue, HiredScore, Paradox, Phenom, SeekOut, Workday Recruiting, iCIMSFour alternatives
Eightfold AI, HireVue, Paradox, iCIMSLlama 4 MaverickPhenomno first choiceChangedno first choiceGoPerfectagainst: Beamery, Phenomno first choicenothing named
Two alternatives
Artisan AI, Skima AITwo alternatives
HiBob, RecruiteeQwen 3.7 FlashEightfold AIEightfold AIHeldEightfold AIagainst: HireVueEightfold AIno first choiceagainst: Eightfold AI, HireVue
Three alternatives
Braintrust, Fetcher, Workday RecruitingFour alternatives
Greenhouse, HireVue, Paradox, Workday RecruitingFive alternatives
Greenhouse, Lever, SAP SuccessFactors Recruiting, SeekOut, Workday RecruitingTwo alternatives
Paradox, iCIMSKimi K2Eightfold AI, PhenomWorkday RecruitingChangedno first choiceNoon AIagainst: Eightfold AI, Fetcher, HireVue, Phenom, hireEZno first choiceagainst: Eightfold AI, HireVue, Pymetrics, Workday Recruiting
Three alternatives
Paradox, SmartRecruiters, iCIMSThree alternatives
Eightfold AI, HiredScore, ParadoxSix alternatives
Beamery, Eightfold AI, Findem, HireVue, Paradox, PhenomOne alternative
RecruiteeGLM 4.7 FlashXLinkedIn RecruiterHireVueChangedEightfold AIFetcheragainst: Beamery, Workday Recruitingno first choiceagainst: Amazon’s Recruiting AI, Eightfold AI, Findem, HireVue, Phenom, SmartRecruiters, Workable, Workday Recruiting, Zoho Recruit
Seven alternatives
Eightfold AI, Gem, Greenhouse, Phenom, SAP SuccessFactors HCM, SeekOut, Workday RecruitingThree alternatives
Eightfold AI, Paradox, Sapia.aiFour alternatives
Gem, HireVue, Pin, SmartRecruitersThree alternatives
Eightfold AI, Paradox, SeekOutMiniMax M2.5Eightfold AIHireVue, ParadoxChangedEightfold AI, Gem, Greenhouse, HireVue, Paradox, SeekOutNoon AIagainst: Eightfold AI, Fetcher, Gem, SeekOut, hireEZno first choiceagainst: Amazon's AI Recruiting Tool, Ashby, Eightfold AI, Greenhouse, HireVue, Lever By Employ, Workday Recruiting, iTutorGroup
Three alternatives
Findem, SeekOut, SerraTwo alternatives
Eightfold AI, GreenhouseThree alternatives
Beamery, LinkedIn Recruiter, SmartRecruitersGPT-6 LunaSeekOutagainst: ParadoxEightfold AIChangedno first choicecandidate.fyino first choiceagainst: Eightfold AI, HireVue, Workday Recruiting
Three alternatives
Eightfold AI, Gem, HiredScoreOne alternative
HiredScoreEight alternatives
Eightfold AI, Greenhouse, HireVue, HiredScore, Paradox, SeekOut, Workday Recruiting, iCIMSOne alternative
GemMuse Glimmer 30BEightfold AIEightfold AIHeldEightfold AI, Paradox, PhenomNoon, Sapia.aiagainst: Eightfold AI, iCIMSno first choiceagainst: Amazon, Eightfold AI, HireVue, Workday Recruiting, iTutorGroup
One alternative
SmartRecruitersTwo alternatives
HireVue, Paradox with OliviaFive alternatives
Findem, Gem, HireVue, SeekOut, hireEZBold 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 11:50 | yes | 9 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:16 | yes | 4 | 6 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:57 | yes | 15 | 26 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 08:25 | yes | 20 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:28 | yes | 22 | 9 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:02 | yes | 7 | 5 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:37 | yes | 25 | 26 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:31 | yes | 5 | 1 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:12 | yes | 14 | 57 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:16 | yes | 15 | 21 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:05 | yes | 15 | 78 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:12 | yes | 14 | 34 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:50 | yes | 4 | 11 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:56 | yes | 25 | 23 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:30 | yes | 16 | 9 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:08 | yes | 3 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:45 | yes | 13 | 27 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 09:04 | yes | 28 | 2 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:18 | yes | 25 | 7 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:17 | yes | 20 | 7 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:44 | yes | 25 | 35 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:29 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:09 | yes | 7 | 31 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:50 | yes | 19 | 17 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:13 | yes | 23 | 105 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 12:06 | yes | 5 | 26 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:46 | yes | 3 | 14 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:57 | yes | 15 | 16 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:25 | yes | 16 | 10 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:07 | yes | 10 | 11 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:09 | yes | 31 | 40 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 11:35 | yes | 20 | 9 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:24 | yes | 22 | 9 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:39 | yes | 7 | 7 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:59 | yes | 23 | 35 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:02 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:49 | yes | 5 | 22 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:02 | yes | 25 | 28 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:19 | yes | 22 | 112 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:15 | yes | 14 | 31 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:56 | yes | 7 | 19 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:16 | yes | 12 | 34 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:21 | yes | 16 | 8 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:08 | yes | 3 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 12:13 | yes | 20 | 25 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 09:37 | yes | 20 | 4 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:11 | yes | 20 | 7 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:14 | yes | 5 | 4 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:46 | yes | 24 | 37 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 12:08 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:51 | yes | 9 | 48 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:38 | yes | 24 | 23 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:46 | yes | 23 | 123 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:36 | yes | 16 | 40 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:09 | yes | 2 | 14 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:24 | yes | 22 | 29 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:01 | yes | 27 | 18 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:42 | yes | 4 | 9 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:00 | yes | 4 | 23 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 08:26 | yes | 20 | 5 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:06 | yes | 17 | 10 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:12 | no | 0 | 8 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:11 | yes | 23 | 44 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 07:48 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:21 | no | 0 | 28 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:09 | no | 0 | 25 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:52 | yes | 14 | 23 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:46 | yes | 5 | 13 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:44 | yes | 5 | 41 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:39 | yes | 11 | 32 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:54 | yes | 9 | 7 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:08 | yes | 4 | 8 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 12:15 | yes | 19 | 53 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 10:51 | yes | 20 | 4 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:00 | yes | 23 | 14 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:54 | yes | 15 | 9 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:36 | yes | 24 | 50 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:11 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:52 | yes | 19 | 85 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:09 | yes | 24 | 30 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:19 | yes | 24 | 198 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:25 | yes | 9 | 30 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:07 | yes | 5 | 29 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:48 | yes | 15 | 43 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
Eightfold read as Eightfold AI
HiredScore AI for Recruiting read as HiredScore
Workday read as Workday Recruiting
Workday (utilizing HiredScore & Paradox) read as Workday Recruiting
Workday Talent Acquisition read as Workday Recruiting
iCIMS Talent Cloud read as iCIMS
Unresolved, counted raw
Artisan AI
Fastr.ai
Gemini APIs
HireVue's Video Interviewing
KORE1
Lever By Employ
PMaps
Paradox with Olivia
Serra
Workday's AI Screening
Workday's AI Screening Software
iCIMS Hire
Discontinued, still offered
No shut-down product was recommended here.