Index › Performance and talent management › Talent intelligence › Small business › October 2026 Edition
Talent intelligence for small business buyers
Asked as “talent intelligence platform”, and as “AI talent platform for hiring and mobility”, on behalf of a small B2B company. 48 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
21%
Contested · Loxo 10%
21Pin10Loxo10Metaview58others
21% of first choices, contested.
Since September 2026▲+4Since September 2026: 18% → 22%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Pin held the lead, +4 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
Pin21%Contested▲+4Since September 2026: 18% → 22%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.This pageMid-marketPin27%Contested▲+11Since September 2026: 17% → 28%, +11 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →Enterprise
Eightfold AI67%Clear leader▼−3Since September 2026: 72% → 70%, −3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →
Pin21%Contested▲+4Since September 2026: 18% → 22%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.This pageMid-marketPin27%Contested▲+11Since September 2026: 17% → 28%, +11 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →EnterpriseEightfold AI67%Clear leader▼−3Since September 2026: 72% → 70%, −3 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
01Pin21%0%30accepted challenger▲+4Since September 2026: 18% → 22%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.18% → 22%
Pin21%0%30accepted challenger▲+4Since September 2026: 18% → 22%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.18% → 22%02
Loxo10%12%26accepted challenger▲+2Since September 2026: 10% → 12%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.10% → 12%
Loxo10%12%26accepted challenger▲+2Since September 2026: 10% → 12%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.10% → 12%03
Metaview10%9%22accepted challenger▲+6Since September 2026: 4% → 10%, +6 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 10%
Metaview10%9%22accepted challenger▲+6Since September 2026: 4% → 10%, +6 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 10%04
Gem8%3%34accepted challenger▼−7Since September 2026: 14% → 7%, −7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.14% → 7%
Gem8%3%34accepted challenger▼−7Since September 2026: 14% → 7%, −7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.14% → 7%05
Manatal6%6%16accepted challenger▲+1Since September 2026: 6% → 7%, +1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.6% → 7%
Manatal6%6%16accepted challenger▲+1Since September 2026: 6% → 7%, +1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.6% → 7%06
Zoho Recruit4%0%12accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 2%
Zoho Recruit4%0%12accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 2%07
SeekOut4%24%25accepted challenger▲+5Since September 2026: 0% → 5%, +5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 5%
SeekOut4%24%25accepted challenger▲+5Since September 2026: 0% → 5%, +5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 5%08
hireEZ2%12%33accepted challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 2%
hireEZ2%12%33accepted challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 2%09
Ashby2%6%18accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 2%
Ashby2%6%18accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 2%10
Juicebox2%6%18accepted 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%6%18accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%11
Phenom2%84%25criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%
Phenom2%84%25criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%12Eightfold AI2%84%37criticized challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 2%
Eightfold AI2%84%37criticized challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 2%Show the four products at 0%, ordered by negative rate
16
Beamery0%83%24criticized 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%83%24criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%15
Gloat0%83%24criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
Gloat0%83%24criticized 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
LinkedIn Talent Insights0%44%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%
LinkedIn Talent Insights0%44%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%13
Greenhouse0%30%10criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
Greenhouse0%30%10criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%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.
Head to head
All twenty-eight head-to-head pages: the top eight products, each against each
Pin vs Fuel50Pin vs MetaviewPin vs PhenomPin vs SeekOutGem vs hireEZGem vs Eightfold AIGem vs Fuel50Gem vs MetaviewGem vs PhenomGem vs SeekOuthireEZ vs Eightfold AIhireEZ vs Fuel50hireEZ vs MetaviewhireEZ vs PhenomhireEZ vs SeekOutEightfold AI vs Fuel50Eightfold AI vs MetaviewEightfold AI vs PhenomEightfold AI vs SeekOutFuel50 vs MetaviewFuel50 vs PhenomFuel50 vs SeekOutMetaview vs PhenomMetaview vs SeekOutPhenom vs SeekOut
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 →
01020304050607080910111213141516Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01Pin21%
Pin21%02Loxo10%
Loxo10%03Metaview10%
Metaview10%04Gem8%
Gem8%05Manatal6%
Manatal6%06Zoho Recruit4%
Zoho Recruit4%07SeekOut4%
SeekOut4%08hireEZ2%
hireEZ2%09Ashby2%
Ashby2%10Juicebox2%
Juicebox2%11Phenom2%
Phenom2%12Eightfold AI2%
Eightfold AI2%13Greenhouse0%
Greenhouse0%14LinkedIn Talent Insights0%
LinkedIn Talent Insights0%15Gloat0%
Gloat0%16Beamery0%
Beamery0%What they warned about
One 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, 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.
Eightfold AI84%
31 of 37 labels negative · 13 of 14 models · 15 hard negative
“Most enterprise-sized talent intelligence suites (Eightfold, Beamery, Phenom, iCIMS, Workday Skills Cloud, Gloat, LinkedIn Talent Insights, etc.) are not built for small businesses” Muse Glimmer 30B, negative prompt
Phenom84%
21 of 25 labels negative · 13 of 14 models · 12 hard negative
“*Why to avoid:* Phenom typically charges $7–$13 per employee per month, with annual contracts regularly starting at **$100,000+**” Gemini 3.5 Flash, negative prompt
Gloat83%
20 of 24 labels negative · 13 of 14 models · 11 hard negative
“**Why to Avoid:** These are comprehensive "talent operating systems"... typically start at high price points ($10,000+/month range)” Qwen 3.7 Flash, negative prompt
Beamery83%
20 of 24 labels negative · 10 of 14 models · 13 hard negative
“*Why to avoid:* Beamery does not publish public pricing, and its custom contracts regularly hover between **$75,000 and $220,000+ per year**” Gemini 3.5 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. 1109 links across 220 sites, every framing counted. Ranked by the number of answers carrying the site or page. 41 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 · Pin49 answers · 99 citations · 12 models
vendor site · Skima42 answers · 50 citations · 11 models
vendor site · G241 answers · 44 citations · 13 models
vendor site · G238 answers · 62 citations · 11 models
36 answers · 41 citations · 11 models
vendor site · Metaview32 answers · 44 citations · 10 models
vendor site · Xobin31 answers · 31 citations · 11 models
vendor site · LinkedIn20 answers · 20 citations · 9 models
17 answers · 17 citations · 9 models
14 answers · 33 citations · 10 models
13 answers · 17 citations · 9 models
vendor site · Sapia.ai13 answers · 15 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.
40 answers · 13 models
39 answers · 11 models
34 answers · 11 models
31 answers · 10 models
31 answers · 11 models
27 answers · 10 models
22 answers · 11 models
19 answers · 10 models
17 answers · 8 models
16 answers · 8 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 talent intelligence platform”, “talent intelligence platform”, “talent intelligence platforms”. 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 | Best Google position |
|---|---|---|---|---|---|---|---|---|
| Pin pin.com | 21% | 199 | 368,000 | 243,385 | 24,375 | 28 | 4 | |
| Loxo loxo.co | 10% | 103 | 5,400 | 107 | 5,248 | 23 | 3 | |
| Metaview metaview.ai | 10% | 66 | 9,900 | 49 | 39,923 | $9,200 | 55 | 1 |
| Gem gem.com | 8% | 209 | 246,000 | 225,116 | 16,291 | 10 | ||
| Manatal manatal.com | 6% | 294 | 2,400 | 267 | 73,150 | 120 | ||
| Workable workable.com | 6% | 308 | 14,800 | 520 | 698,499 | $14,562 | 77 | |
| Zoho zoho.com Zoho Recruit 4% | 4% | 322 | 2,900 | 46 | 1,216,894 company | $51,031 | 119 | |
| SeekOut seekout.com | 4% | 205 | 6,600 | 52 | 5,796 | 1 | 9 | |
| Lessie lessie.ai Lessie AI 4% | 4% | 12 | 590 | 3 | 21,371 company | 2 | ||
| TalentGuard talentguard.com | 4% | 62 | 210 | 0 | 27,310 |
Google's top ten for the three searches hold 17 sites; 3 of them are among the sites the models cited here (linkedin.com, metaview.ai, pin.com). The first result for “best talent intelligence platform” is rollingarrays.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 talent intelligence platform for a small B2B company?”Paraphrase“Which AI talent platform for hiring and mobility would you recommend to a small business that sells to other businesses?”Comparative“What are the top talent intelligence platforms for a small team and how do they differ?”Budget-constrained“What is the best talent intelligence platform for a small company with a tight budget?”Scale-constrained“We are a 30 person company evaluating a talent intelligence platform. What should we look at?”Negative“Which talent intelligence platforms should a small business avoid or be cautious about?”
Claude Haiku 4.5Arya, Pinagainst: Beamery, PhenomRecootyChangedagainst: Eightfold AI, iMochaPinManatalno first choiceagainst: Beamery, Eightfold AI, Gloat, Retrain.ai, Skima AI
Five alternatives
Ashby, Gem, Metaview, TurboHire, hireEZThree alternatives
Manatal, Talenteer, Zoho RecruitSeven alternatives
Beamery, Gem, Gloat, HackerEarth, Juicebox, TestGorilla, hireEZTwo alternatives
JuggleHire, PinGPT-5.4 miniLoxoagainst: SeekOutPhenomChangedSeekOutagainst: Eightfold AISeekOutagainst: The Predictive Index, ZoomInfo Talentno first choicenothing named
One alternative
GemThree alternatives
Fuel50, Gloat, HitchFour alternatives
365Talents, LinkedIn Talent Insights, Loxo, hireEZOne alternative
SupportFinityGemini 3.5 FlashPinagainst: Beamery, Eightfold AI, GloatWorkableChangedagainst: Eightfold AI, Gloat, PhenomLoxo, Pinagainst: Beamery, Eightfold AI, PhenomPinagainst: Beamery, Eightfold AI, LinkedIn Recruiter, SeekOutPinagainst: Eightfold AI, Gloat, Phenomagainst: Beamery, Eightfold AI, Gloat, Phenom, Reejig, Retrain.ai, Workday Skills Cloud
Four alternatives
Loxo, Metaview, SeekOut, hireEZThree alternatives
Engagedly, Findem, SeekOutThree alternatives
Gem, Metaview, hireEZThree alternatives
Juicebox, Loxo, MetaviewFive alternatives
Ashby, Fetcher, Greenhouse, Juicebox, MetaviewPerplexity SonarLoxo, PinManatalChangedLoxoLessie AIno first choiceagainst: Beamery, Eightfold AI, Gloat, LinkedIn Talent Insights, Phenom, iCIMS Talent Cloud
Three alternatives
Arya, Juicebox, LinkedIn Talent InsightsThree alternatives
JazzHR, Workable, Zoho RecruitThree alternatives
Ashby, LinkedIn Talent Insights, PinTwo alternatives
Loxo, Zoho RecruitGrok 4.1 FastLoxoWorkableChangedagainst: Eightfold AILoxoZoho Recruitagainst: LoxoMetaviewagainst: Eightfold AI, Gloatagainst: Beamery, Eightfold AI, Greenhouse, Infor Talent Science, Phenom, SeekOut
Four alternatives
Gem, Juicebox, Pin, hireEZFour alternatives
JazzHR, Manatal, Recruit CRM, Zoho RecruitThree alternatives
Gem, SeekOut, hireEZThree alternatives
Breezy HR, JazzHR, ManatalThree alternatives
Loxo, Pin, hireEZMistral SmallLoxoEightfold AIChangedLatticeLoxono first choiceagainst: Gloat, Phenom, Workday Skills Cloud, iCIMS Talent Cloud
Two alternatives
Reejig, SeekOutFour alternatives
Ashby, Gem, Metaview, hireEZTwo alternatives
Geneo, ManatalDeepSeek V4 FlashAshbyagainst: Beamery, Eightfold AI, PhenomTalentGuardChangedagainst: Eightfold AI, Gloat, PhenomLoxoPinagainst: Beamery, Eightfold AI, Lightcast, LinkedIn Talent Insights, Skima AI, Workable, hireEZGemagainst: Beamery, Eightfold AI, Gloat, Phenomagainst: Beamery, Eightfold AI, Gloat, LinkedIn Talent Insights, Phenom, Workday Skills Cloud, iCIMS Talent Cloud
Three alternatives
Juicebox, Metaview, Zoho RecruitTwo alternatives
Greenhouse, SmartRecruitersSix alternatives
Ashby, Gem, Juicebox, Metaview, SeekOut, hireEZTwo alternatives
Manatal, Zoho RecruitFour alternatives
Ashby, Lessie AI, Wellfound, WrangleLlama 4 Maverickno first choiceno first choiceHeldno first choiceno first choiceno first choiceagainst: Eightfold AI, Firefly Talent, Freelancer.com, Gloat, Phenom, Workday Skills Cloud, iCIMS Talent Cloud
Three alternatives
Ashby, Loxo, TapflowQwen 3.7 FlashhireEZTalentGuardChangedagainst: Eightfold AI, Fuel50, GloatLoxoagainst: hireEZGemagainst: Eightfold AI, SeekOutno first choiceagainst: CoRecruit, Draup, Eightfold AI, Gloat, Phenom, Selligence, Visier, Workday Skills Cloud, iCIMS Talent Cloud
Four alternatives
Apollo.io, Gem, GoHire, SeekOutTwo alternatives
365Talents, PinTwo alternatives
Fetcher, GemTwo alternatives
Pin, Skima AIKimi K2Gemagainst: Beamery, Eightfold AIManatalChangedagainst: Toptal, UpworkPinagainst: Beamery, Eightfold AI, Phenom, hireEZJuicebox, MetaviewPinagainst: Beamery, Eightfold AI, Phenomagainst: Beamery, Criteria, Eightfold AI, Gloat, Infor Talent Science, LinkedIn Talent Insights, Phenom, Workday Skills Cloud, iCIMS Talent Cloud
Five alternatives
Ashby, Juicebox, Pin, Qureos, WellfoundTwo alternatives
Phenom, TalentLyftFive alternatives
Ashby, Gem, Juicebox, Loxo, MetaviewTwo alternatives
100Hires, ManatalSix alternatives
Greenhouse, JazzHR, Lessie AI, Lever, LinkedIn Recruiter, MetaviewGLM 4.7 FlashXMetaview, PinWorkableChangedMetaviewPaveagainst: Levels.fyi, SalaryIQno first choiceagainst: 365Talents, Ashby, Atlas, Beamery, Eightfold AI, Gloat, GoodTime, Greenhouse, HireVue, Humanly, Juicebox, Lever, Loxo, Manatal, Metaview, Paradox, Paychex, Phenom, Popp, Recruiterflow, SAP SuccessFactors, Teamtailor, Workable
Three alternatives
Gem, Lessie AI, hireEZThree alternatives
Breezy HR, Engagedly, PinSeven alternatives
Ashby, Gem, JazzHR, Juicebox, Lattice, Skima AI, hireEZTwo alternatives
Comprehensive.io, Zoho RecruitMiniMax M2.5SeekOutagainst: LinkedIn Talent InsightsPinChangedPinMetaviewno first choiceagainst: Beamery, Eightfold AI, Gloat, LinkedIn Talent Insights, Phenom, Workday Skills Cloud, iCIMS Talent Cloud
Six alternatives
Breezy HR, Greenhouse, JazzHR, LeverTRM, Phenom, WorkableThree alternatives
Gem, Hirevire, ManatalFive alternatives
Fetcher, Gem, Manatal, Metaview, hireEZTwo alternatives
Ashby, hireEZGPT-6 LunaGemZoho RecruitChangedagainst: Eightfold AI, GloatLinkedIn Recruiteragainst: SeekOutTalentRank.aino first choiceagainst: Beamery, Eightfold AI, Gloat, Phenom, Workday Skills Cloud
Two alternatives
LinkedIn Talent Insights, SeekOut Recruit CoreOne alternative
Zoho PeopleFour alternatives
Gem, Juicebox, LinkedIn Talent Insights, hireEZMuse Glimmer 30BLessie AIPinChangedPinMetaview, Qureosagainst: Loxono first choiceagainst: Beamery, Eightfold AI, Gem, Gloat, GoodTime, Greenhouse, HireVue, Humanly, Lever, LinkedIn Talent Insights, Metaview, Paradox, Phenom, SeekOut, Teamtailor, Workday Skills Cloud, hireEZ, iCIMS Talent Cloud
Two alternatives
Loxo, PinOne alternative
Eightfold AIFive alternatives
Ashby, Gem, Loxo, Metaview, hireEZThree alternatives
Gem, Manatal, PinBold 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 09:01 | yes | 9 | 9 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:55 | yes | 4 | 4 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:33 | yes | 16 | 25 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 07:29 | yes | 16 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:52 | yes | 20 | 11 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:53 | yes | 12 | 7 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:53 | yes | 23 | 18 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 07:43 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:37 | no | 0 | 38 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:01 | yes | 17 | 25 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:15 | yes | 19 | 57 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:29 | no | 0 | 45 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:41 | yes | 3 | 7 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:03 | yes | 12 | 14 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:12 | yes | 9 | 6 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:25 | yes | 4 | 6 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:16 | yes | 25 | 35 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 10:05 | yes | 20 | 4 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:02 | yes | 22 | 10 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:53 | yes | 5 | 5 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:25 | yes | 25 | 23 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:42 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:09 | yes | 20 | 87 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:26 | yes | 25 | 28 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:38 | yes | 15 | 48 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:03 | yes | 19 | 37 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:59 | yes | 2 | 19 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:09 | yes | 15 | 19 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:08 | yes | 14 | 9 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:51 | yes | 6 | 7 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:01 | yes | 13 | 31 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 08:19 | yes | 16 | 6 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:04 | yes | 20 | 9 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:04 | yes | 10 | 10 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:59 | yes | 24 | 51 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 07:44 | yes | 5 | 1 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:49 | yes | 17 | 63 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:24 | yes | 24 | 27 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:07 | yes | 23 | 104 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:46 | yes | 19 | 30 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:30 | yes | 6 | 25 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:44 | yes | 21 | 27 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:38 | yes | 9 | 7 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:30 | yes | 3 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:44 | yes | 26 | 24 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 11:03 | yes | 22 | 4 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:04 | yes | 23 | 7 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:58 | yes | 15 | 6 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:32 | yes | 20 | 22 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:49 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:03 | yes | 13 | 38 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:13 | yes | 15 | 16 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:05 | yes | 25 | 30 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:46 | yes | 10 | 15 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:25 | yes | 2 | 10 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:44 | yes | 23 | 36 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:57 | no | 0 | 6 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:50 | no | 0 | 6 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:06 | yes | 13 | 25 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 11:17 | yes | 17 | 8 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:12 | yes | 13 | 12 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:09 | no | 0 | 6 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:41 | yes | 22 | 31 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:00 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:16 | no | 0 | 30 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:17 | yes | 17 | 28 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:51 | yes | 13 | 58 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:34 | yes | 5 | 15 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:30 | yes | 2 | 15 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:06 | yes | 11 | 24 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:19 | yes | 16 | 10 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:08 | yes | 3 | 6 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:59 | yes | 21 | 25 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 10:44 | yes | 19 | 4 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:26 | yes | 22 | 16 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:48 | yes | 9 | 5 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:56 | yes | 21 | 45 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:43 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:15 | yes | 12 | 46 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:27 | yes | 19 | 37 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:05 | yes | 22 | 55 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:08 | yes | 9 | 26 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:38 | yes | 4 | 34 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:26 | yes | 13 | 17 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
Workday read as Workday Skills Cloud
ZoomInfo read as ZoomInfo Talent
iCIMS read as iCIMS Talent Cloud
Unresolved, counted raw
Botpool
Geneo
Looper
SalaryIQ (Salary.com)
Selligence (Talent Ticker)
Stynt.ai
TalentRank.ai
Wrangle.ai
Discontinued, still offered
No shut-down product was recommended here.