Recruiting CRM and sourcing for enterprise buyers
Asked as “candidate sourcing tool”, and as “recruiting CRM”, on behalf of an enterprise B2B company. 53 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
21%
Contested · Gem 15%
21SeekOut15Gem11LinkedIn Recruiter53others
21% of first choices, contested.
Since October 2026▲+3Since October 2026: 18% → 21%, +3 points. Inside the 13-point floor: within noise.SeekOut held the lead, +3 points on 18%, 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
Juicebox18%Contested↗new leaderNew leader since October 2026: Juicebox (18%) replaces Manatal (25% then, 12% now), 6 points clear, inside the 13-point floor.Standing →Mid-market
Gem20%Contested▲+5Since October 2026: 15% → 20%, +5 points. Inside the 13-point floor: within noise.Standing →Enterprise
SeekOut21%Contested▲+3Since October 2026: 18% → 21%, +3 points. Inside the 13-point floor: within noise.This page
Juicebox18%Contested↗new leaderNew leader since October 2026: Juicebox (18%) replaces Manatal (25% then, 12% now), 6 points clear, inside the 13-point floor.Standing →Mid-marketGem20%Contested▲+5Since October 2026: 15% → 20%, +5 points. Inside the 13-point floor: within noise.Standing →EnterpriseSeekOut21%Contested▲+3Since October 2026: 18% → 21%, +3 points. Inside the 13-point floor: within noise.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 October 2026
01SeekOut21%9%34accepted challenger▲+3Since October 2026: 18% → 21%, +3 points. Inside the 13-point floor: within noise.18% → 21%
SeekOut21%9%34accepted challenger▲+3Since October 2026: 18% → 21%, +3 points. Inside the 13-point floor: within noise.18% → 21%02Gem15%13%39accepted challenger▲+1Since October 2026: 14% → 15%, +1 point. Inside the 13-point floor: within noise.14% → 15%
Gem15%13%39accepted challenger▲+1Since October 2026: 14% → 15%, +1 point. Inside the 13-point floor: within noise.14% → 15%03
LinkedIn Recruiter11%26%31criticized challenger▲+5Since October 2026: 6% → 11%, +5 points. Inside the 13-point floor: within noise.6% → 11%
LinkedIn Recruiter11%26%31criticized challenger▲+5Since October 2026: 6% → 11%, +5 points. Inside the 13-point floor: within noise.6% → 11%04
Avature9%0%14accepted challenger▲+9Since October 2026: 0% → 9%, +9 points. Inside the 13-point floor: within noise.0% → 9%
Avature9%0%14accepted challenger▲+9Since October 2026: 0% → 9%, +9 points. Inside the 13-point floor: within noise.0% → 9%05
Beamery8%10%21accepted challenger▼−4Since October 2026: 12% → 8%, −4 points. Inside the 13-point floor: within noise.12% → 8%
Beamery8%10%21accepted challenger▼−4Since October 2026: 12% → 8%, −4 points. Inside the 13-point floor: within noise.12% → 8%06
hireEZ6%4%26accepted challenger▲+2Since October 2026: 4% → 6%, +2 points. Inside the 13-point floor: within noise.4% → 6%
hireEZ6%4%26accepted challenger▲+2Since October 2026: 4% → 6%, +2 points. Inside the 13-point floor: within noise.4% → 6%07
Manatal6%0%13accepted challenger▲+2Since October 2026: 4% → 6%, +2 points. Inside the 13-point floor: within noise.4% → 6%
Manatal6%0%13accepted challenger▲+2Since October 2026: 4% → 6%, +2 points. Inside the 13-point floor: within noise.4% → 6%08
Phenom4%0%15accepted challenger▲+2Since October 2026: 2% → 4%, +2 points. Inside the 13-point floor: within noise.2% → 4%
Phenom4%0%15accepted challenger▲+2Since October 2026: 2% → 4%, +2 points. Inside the 13-point floor: within noise.2% → 4%09
Eightfold AI2%0%14accepted challenger▼−10Since October 2026: 12% → 2%, −10 points. Inside the 13-point floor: within noise.12% → 2%
Eightfold AI2%0%14accepted challenger▼−10Since October 2026: 12% → 2%, −10 points. Inside the 13-point floor: within noise.12% → 2%Show the four products at 0%, ordered by negative rate
13
SAP Ariba0%31%13criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%
SAP Ariba0%31%13criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%11
Coupa Sourcing0%20%15accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%
Coupa Sourcing0%20%15accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%12
Jaggaer0%17%12accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%
Jaggaer0%17%12accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%10
Ivalua0%0%11accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%
Ivalua0%0%11accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.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 can't be told apart from repeat variation, and both are shown. Each index measures its own floor from its own repeat, over its own categories, so the floor differs from one index to the next. Both editions asked the same fourteen models. How the floor is measured
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
For buyers
Head to headHead-to-head pages are published for mid-market buyers, so these open on mid-market figures, not enterprise.
All twenty-eight head-to-head pages: the top eight products, each against each
Gem vs LinkedIn RecruiterGem vs AshbyGem vs FetcherGem vs Zoho RecruithireEZ vs ManatalhireEZ vs LeverhireEZ vs LinkedIn RecruiterhireEZ vs AshbyhireEZ vs FetcherhireEZ vs Zoho RecruitManatal vs LeverManatal vs LinkedIn RecruiterManatal vs AshbyManatal vs FetcherManatal vs Zoho RecruitLever vs LinkedIn RecruiterLever vs AshbyLever vs FetcherLever vs Zoho RecruitLinkedIn Recruiter vs AshbyLinkedIn Recruiter vs FetcherLinkedIn Recruiter vs Zoho RecruitAshby vs FetcherAshby vs Zoho RecruitFetcher vs Zoho Recruit
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% negative40%
Key
01SeekOut21%
SeekOut21%02Gem15%
Gem15%03LinkedIn Recruiter11%
LinkedIn Recruiter11%04Avature9%
Avature9%05Beamery8%
Beamery8%06hireEZ6%
hireEZ6%07Manatal6%
Manatal6%08Phenom4%
Phenom4%09Eightfold AI2%
Eightfold AI2%10Ivalua0%
Ivalua0%11Coupa Sourcing0%
Coupa Sourcing0%12Jaggaer0%
Jaggaer0%13SAP Ariba0%
SAP Ariba0%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 4.20, 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.
LinkedIn Recruiter26%
8 of 31 labels negative · 7 of 14 models
“LinkedIn Recruiter is commonly priced around $8,000–$12,000 per seat annually, which becomes extremely expensive at thousands of users.” Perplexity Sonar, budget prompt
Gem13%
5 of 39 labels negative · 5 of 14 models
“its pricing starts at $135/user/month, which may be less predictable for very large teams due to potential add-ons and custom enterprise agreements” Mistral Small, budget prompt
SAP Ariba31%
4 of 13 labels negative · 4 of 14 models · 2 hard negative
“Avoid: SAP Ariba for this specific use case — while powerful, it has the highest TCO and most complex pricing” Muse Glimmer 30B, negative prompt
Coupa Sourcing20%
3 of 15 labels negative · 3 of 14 models
“while it is a top enterprise-grade sourcing tool, it may have some limitations” Llama 4 Maverick, negative prompt
What they cite
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted.
Sites the answers cite
75 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. 843 links across 314 sites, every framing counted. Ranked by the number of answers carrying the site or page. 1 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 · Lead Change Group23 answers · 37 citations · 10 models
vendor site · Lever21 answers · 26 citations · 10 models
vendor site · Pin17 answers · 23 citations · 11 models
16 answers · 28 citations · 10 models
16 answers · 17 citations · 10 models
vendor site · Gem14 answers · 16 citations · 10 models
13 answers · 13 citations · 7 models
vendor site · G212 answers · 18 citations · 6 models
vendor site · Ivalua12 answers · 15 citations · 8 models
12 answers · 14 citations · 9 models
vendor site · Noon11 answers · 21 citations · 6 models
11 answers · 11 citations · 6 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.
20 answers · 10 models
14 answers · 10 models
14 answers · 9 models
12 answers · 9 models
10 answers · 9 models
8 answers · 6 models
7 answers · 6 models
6 answers · 5 models
6 answers · 6 models
6 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 “best candidate sourcing tool”, “candidate sourcing tool”, “sourcing tools”. 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 |
|---|---|---|---|---|---|---|---|
| SeekOut seekout.com | 21% | 153 | 6,600 | 52 | 5,796 | 1 | |
| Gem gem.com | 15% | 182 | 246,000 | 225,116 | 16,291 | 10 | |
| LinkedIn parent site LinkedIn Recruiter 11% | 11% | 108 | 11,100,000 | 77,031 | |||
| Avature avature.net | 9% | 106 | 2,900 | 60 | 541,149 | 44 | |
| Beamery beamery.com | 8% | 262 | 1,000 | 21 | 12,866 | 0 | |
| iCIMS icims.com | 8% | 143 | 27,100 | 667 | 1,165,712 | $5,674 | 26 |
| hireEZ hireez.com | 6% | 174 | 2,400 | 43 | 3,058 | 35 | |
| Manatal manatal.com | 6% | 305 | 2,400 | 267 | 73,150 | 120 | |
| Phenom phenom.com | 4% | 331 | 18,100 | 2,229 | 24,487 | 0 | |
| Ashby ashbyhq.com | 4% | 217 | 49,500 | 3,112 | 216,820 | 16 |
Google's top ten for the three searches hold 18 sites; 3 of them are among the sites the models cited here (peoplemanagingpeople.com, pin.com, selectsoftwarereviews.com). The first result for “best candidate sourcing tool” is hiretruffle.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 candidate sourcing tool for an enterprise B2B company?”Paraphrase“Which recruiting CRM would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade sourcing tools and how do they differ?”Budget-constrained“What is the best candidate sourcing tool 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 a candidate sourcing tool. What should we look at?”Negative“Which sourcing tools should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5no first choiceAvature, Gem, iCIMSChangedno first choiceno first choiceno first choicenothing named
Four alternatives
Beamery, Loxo, Phenom, SmartRecruitersThree alternatives
Pin, SeekOut, hireEZGPT-5.4 miniLinkedIn RecruiterWorkday Recruiting, iCIMSChangedLinkedIn RecruiterhireEZno first choicenothing named
Three alternatives
Eightfold AI, Gem, SeekOutTwo alternatives
Avature, PhenomThree alternatives
Gem, SeekOut, hireEZOne alternative
SeekOutGemini 3.5 FlashGemBeameryChangedno first choiceEightfold AIagainst: LinkedIn Recruiter, SeekOutno first choicenothing named
Five alternatives
Beamery, Eightfold AI, Findem, SeekOut, hireEZThree alternatives
Avature, Eightfold AI, PhenomThree alternatives
Beamery, Phenom Talent Experience Platform, hireEZPerplexity SonarSeekOutiCIMSChangedagainst: GemCoupa Sourcing, GEP SMART, Ivalua, Jaggaer, SAP AribaGemagainst: LinkedIn Recruiterno first choiceagainst: Precoro, Procurify
Four alternatives
Eightfold AI, Gem, LinkedIn Recruiter, hireEZThree alternatives
Beamery, SmartRecruiters, Workday RecruitingFour alternatives
Keelvar, Oracle Fusion Cloud Procurement, Workday Strategic Sourcing, ZycusOne alternative
SmartRecruitersGrok 4.20SeekOutGemChangedagainst: Nutshell, Pipedrive, SalesflareSeekOut, hireEZagainst: JaggaerLinkedIn RecruiterSeekOutagainst: LinkedIn Recruiternothing named
Three alternatives
Gem, LinkedIn Recruiter, hireEZFive alternatives
Avature, Beamery, Eightfold AI, Phenom, SeekOutSix alternatives
Coupa Sourcing, GEP SMART, Gem, Ivalua, LinkedIn Recruiter, SAP AribaThree alternatives
Gem, SeekOut, hireEZThree alternatives
Gem, Noon, hireEZMistral SmallManatal, SeekOutGemChangedSAP Ariba SourcingManatalagainst: Gemno first choiceagainst: Jaggaer
Two alternatives
LinkedIn Recruiter, hireEZThree alternatives
Avature, Beamery, PhenomFour alternatives
Coupa Sourcing, LightSource, Precoro, StampliOne alternative
SeekOutDeepSeek V4 FlashSeekOutagainst: LinkedIn RecruiterAvatureChangedno first choiceGemagainst: LinkedIn Recruiter, SmartRecruitersSeekOutagainst: Precoro, Procurify, SAP Ariba
Two alternatives
Gem, hireEZTwo alternatives
Greenhouse, iCIMSTen alternatives
Archlet, Coupa Sourcing, GEP SMART, Ivalua, Jaggaer, Keelvar, Oracle Fusion Cloud Procurement, SAP Ariba, Zycus, akirolabsOne alternative
SeekOutThree alternatives
Gem, Manatal, hireEZLlama 4 Maverickno first choiceAvature, Beamery, PhenomChangedno first choiceno first choiceRival Recruitagainst: Coupa Sourcing, SAP Ariba
Two alternatives
Gem, SmartRecruitersTwo alternatives
Neuroscale, NoonQwen 3.7 FlashLinkedIn RecruiterGemChangedSAP AribaLinkedIn Recruiteragainst: Dice, Monster, Sourceryno first choicenothing named
Three alternatives
Gem, SeekOut, hireEZTwo alternatives
Avature, BeamerySix alternatives
Coupa Business Spend Management, Ivalua, Jaggaer, Pivot, Workday Strategic Sourcing, ZipThree alternatives
HiringSolved, Jobot, SeekOutKimi K2LinkedIn Recruiter, SeekOutGreenhouse, PhenomChangedagainst: GemCoupa Sourcing, Ivalua, SAP AribaSeekOut, hireEZagainst: LinkedIn Recruiterno first choicenothing named
Three alternatives
Gem, Manatal, hireEZTwo alternatives
Avature, BeameryFive alternatives
GEP SMART, Jaggaer, Workday Strategic Sourcing, Zip, ZycusFour alternatives
Dover, Gem, HeroHunt.ai, NoonGLM 4.7 FlashXSeekOut, hireEZBeameryChangedSeekOutAshby, Manatalagainst: Beameryno first choiceagainst: Coupa Sourcing, SAP Ariba
Two alternatives
Gem, ManatalFour alternatives
Avature, Gem, Phenom, iCIMSFive alternatives
Beamery, Eightfold AI, Findem, Gem, hireEZTwo alternatives
Gem, PinMiniMax M2.5SeekOutagainst: Beamery, Findem, GemAvature, iCIMSChangedno first choiceAshbyno first choicenothing named
Three alternatives
LinkedIn Recruiter, Manatal, hireEZTwo alternatives
Greenhouse, LeverThree alternatives
LinkedIn Recruiter, Pin, SeekOutGPT-6 LunaLinkedIn RecruiterAvatureChangedno first choiceGemagainst: LinkedIn Recruiter, SeekOutno first choicenothing named
Two alternatives
Gem, SeekOutTwo alternatives
Beamery, PhenomMuse Glimmer 30BSeekOutBeameryChangedSeekOut, hireEZNoonagainst: Gem, LinkedIn Recruiter, SeekOut, hireEZno first choiceagainst: Coupa Sourcing, Juicebox, LinkedIn Sales Navigator, SAP Ariba, Sparx Enterprise Architect
Four alternatives
Eightfold AI, Manatal, Phenom, hireEZFour alternatives
Avature, Eightfold AI, Workday Recruiting, iCIMSFour alternatives
Beamery, Eightfold AI, Gem, LinkedIn RecruiterOne alternative
DoverBold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency.
Eighty-four rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 12:15 | no | 0 | 5 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 10:27 | yes | 3 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 08:44 | yes | 14 | 26 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-11-01 11:37 | yes | 10 | 4 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:28 | yes | 10 | 34 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 12:24 | yes | 5 | 4 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 10:14 | yes | 24 | 23 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 09:46 | yes | 5 | 3 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 12:48 | no | 0 | 27 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 11:06 | yes | 9 | 16 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 11:14 | yes | 13 | 31 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 08:54 | yes | 5 | 58 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-11-01 08:50 | yes | 3 | 12 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 09:10 | yes | 12 | 19 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 12:15 | yes | 9 | 8 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 11:17 | yes | 2 | 6 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 10:08 | no | 0 | 15 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-11-01 09:30 | yes | 10 | 3 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:25 | yes | 5 | 28 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 12:42 | yes | 5 | 5 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 09:43 | yes | 25 | 23 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 09:09 | yes | 5 | 3 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 09:11 | yes | 5 | 28 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 10:34 | yes | 17 | 54 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:55 | yes | 19 | 33 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 12:10 | yes | 5 | 20 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-11-01 10:14 | yes | 3 | 12 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 11:38 | yes | 14 | 19 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 11:35 | yes | 17 | 10 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 08:40 | yes | 5 | 9 s |
| Comparative | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 09:57 | no | 0 | 20 s |
| Comparative | Perplexity Sonar | sonar | 2026-11-01 08:39 | yes | 10 | 5 s |
| Comparative | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:15 | yes | 8 | 34 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 10:40 | yes | 5 | 7 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 09:59 | yes | 23 | 31 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 11:56 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 08:59 | yes | 5 | 18 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 10:42 | yes | 20 | 84 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 08:40 | yes | 24 | 143 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 12:43 | yes | 10 | 25 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-11-01 11:20 | yes | 10 | 23 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 12:03 | yes | 24 | 35 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 09:39 | yes | 19 | 9 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 12:02 | yes | 4 | 4 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 11:51 | yes | 6 | 19 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-11-01 12:10 | yes | 10 | 3 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:26 | yes | 22 | 35 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:11 | yes | 5 | 5 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 11:54 | yes | 25 | 27 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 09:57 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 12:02 | no | 0 | 33 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 09:49 | yes | 10 | 20 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:24 | yes | 23 | 493 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 11:43 | yes | 5 | 25 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 10:48 | yes | 2 | 17 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 09:55 | yes | 24 | 24 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 08:59 | yes | 18 | 13 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 10:50 | yes | 3 | 10 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 08:56 | no | 0 | 18 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-11-01 10:04 | yes | 10 | 8 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:23 | yes | 14 | 38 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 10:11 | no | 0 | 6 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 09:26 | yes | 24 | 35 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 08:55 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 11:09 | no | 0 | 30 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 11:25 | yes | 8 | 31 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:02 | yes | 23 | 23 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 09:47 | yes | 5 | 31 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 11:42 | yes | 4 | 16 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 10:12 | yes | 13 | 25 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 12:22 | yes | 18 | 10 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 11:03 | yes | 4 | 8 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 10:18 | no | 0 | 14 s |
| Negative framing | Perplexity Sonar | sonar | 2026-11-01 11:45 | yes | 10 | 5 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:29 | yes | 5 | 28 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 12:38 | yes | 5 | 6 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 08:48 | yes | 25 | 26 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 12:50 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 09:38 | yes | 10 | 51 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 12:11 | yes | 20 | 39 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 08:46 | yes | 24 | 113 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 10:28 | yes | 10 | 145 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-11-01 10:44 | yes | 3 | 14 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 12:48 | yes | 14 | 31 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
ShowHide
Category-scoped readings
Coupa read as Coupa Sourcing
Eightfold read as Eightfold AI
LinkedIn Recruiter with Hiring Assistant read as LinkedIn Recruiter
Noon AI read as Noon
SAP SuccessFactors read as SAP SuccessFactors Recruiting
Workday read as Workday Recruiting
iCIMS Talent Cloud read as iCIMS
Unresolved, counted raw
Archlet
Basware
Coupa Business Spend Management
GEP NEXXe
HiringSolved
LightSource
Mindsprint Procuresprint
Neuroscale
Pivot
Procol
Prokuria
Rival Recruit
Sourcebot
Sourcery
Sparx Enterprise Architect
Stampli
SynerTrade
Trained (formerly BooleaNova)
Vendorful
Zapro
akirolabs
Discontinued, still offered
No shut-down product was recommended here.