Talent intelligence for enterprise buyers
Asked as “talent intelligence platform”, and as “AI talent platform for hiring and mobility”, on behalf of an enterprise B2B company. 52 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
67%
Clear leader
67Eightfold AI06Gloat06SeekOut21others
67% of first choices, clear leader.
Since September 2026▼−3Since September 2026: 72% → 70%, −3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Eightfold AI held the lead, −3 points on 72%, 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.Standing →Mid-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.This page
Pin21%Contested▲+4Since September 2026: 18% → 22%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →Mid-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.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 AI67%17%69endorsed leader▼−3Since September 2026: 72% → 70%, −3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.72% → 70%
Eightfold AI67%17%69endorsed leader▼−3Since September 2026: 72% → 70%, −3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.72% → 70%02
Gloat6%17%42accepted challenger▲+4Since September 2026: 2% → 7%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 7%
Gloat6%17%42accepted challenger▲+4Since September 2026: 2% → 7%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 7%03
SeekOut6%23%39accepted challenger▲+2Since September 2026: 5% → 7%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.5% → 7%
SeekOut6%23%39accepted challenger▲+2Since September 2026: 5% → 7%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.5% → 7%04
Beamery4%23%48accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%
Beamery4%23%48accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%05
365Talents2%0%13accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 2%
365Talents2%0%13accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 2%06
Phenom2%29%38criticized challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 2%
Phenom2%29%38criticized 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
Findem2%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%
Findem2%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%08
Workday Skills Cloud2%35%23criticized challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 2%
Workday Skills Cloud2%35%23criticized challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 2%Show the seven products at 0%, ordered by negative rate
15
iCIMS Talent Cloud0%50%14criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
iCIMS Talent Cloud0%50%14criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%10
hireEZ0%19%16accepted 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%19%16accepted 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
Fuel500%18%11accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 0%
Fuel500%18%11accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 0%14
Gem0%18%11accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
Gem0%18%11accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%11
Lightcast0%17%12accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
Lightcast0%17%12accepted 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
Visier0%10%10accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
Visier0%10%10accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%09
LinkedIn Talent Insights0%8%13accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 0%
LinkedIn Talent Insights0%8%13accepted 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.
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
One product takes 67% of first choices here, so the chart would put fourteen markers in one corner and one at the far edge. The two measurements it plots are columns in the standing above: share, and the negative label rate. Three products carry a negative rate above 25% in this category.
What they warned about
Eight of fourteen models held their first choice under the paraphrase. GPT-5.4 mini, Mistral Small, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2 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 AI17%
12 of 69 labels negative · 11 of 14 models · 4 hard negative
“**Eightfold AI** is the most prominent platform requiring caution.... class action ... alleging that the company's AI hiring platform operated as an unregistered consumer reporting agency” Claude Haiku 4.5, negative prompt
Beamery23%
11 of 48 labels negative · 10 of 14 models · 2 hard negative
“**Beamery** | Regional integration gaps, support bottlenecks, vendor downsizing concerns” DeepSeek V4 Flash, negative prompt
Phenom29%
11 of 38 labels negative · 9 of 14 models · 4 hard negative
“**Phenom** | Recurring "implementation mess" complaints, bulk-action failures, high cost for what you get” DeepSeek V4 Flash, negative prompt
SeekOut23%
9 of 39 labels negative · 8 of 14 models · 2 hard negative
“**Recommendation:** Avoid for orgs >500 employees seeking company-wide talent intelligence.” Qwen 3.7 Flash, negative prompt
What they cite
Citations exist only for the models that return a source list: fourteen of the fourteen in this edition, and all six flagship models on the expanded tier.
Sites the answers cite
78 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 1149 links across 272 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 · Pin48 answers · 80 citations · 12 models
vendor site · Xobin35 answers · 35 citations · 11 models
30 answers · 41 citations · 9 models
vendor site · Skima30 answers · 35 citations · 12 models
vendor site · Guideflow30 answers · 31 citations · 10 models
29 answers · 29 citations · 12 models
vendor site · Sapia.ai26 answers · 27 citations · 10 models
vendor site · G225 answers · 50 citations · 11 models
vendor site · Noon25 answers · 29 citations · 11 models
vendor site · G225 answers · 26 citations · 11 models
vendor site · Metaview24 answers · 25 citations · 8 models
22 answers · 22 citations · 12 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.
35 answers · 11 models
35 answers · 11 models
30 answers · 10 models
29 answers · 12 models
26 answers · 10 models
25 answers · 11 models
23 answers · 10 models
23 answers · 11 models
22 answers · 8 models
21 answers · 10 models
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “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 | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|
| Eightfold eightfold.ai Eightfold AI 67% | 67% | 540 | 4,400 | 187 | 53,360 company | 17 | 1 |
| Gloat gloat.com | 6% | 315 | 27,100 | 359 | 22,734 | 0 | |
| SeekOut seekout.com | 6% | 205 | 6,600 | 52 | 5,796 | 1 | 9 |
| Beamery beamery.com | 4% | 293 | 1,000 | 21 | 12,866 | 0 | |
| 365Talents 365talents.com | 2% | 94 | 90 | 1 | 2,859 | 25 | |
| Phenom phenom.com | 2% | 288 | 18,100 | 2,229 | 24,487 | 0 | |
| Findem findem.ai | 2% | 50 | 1,600 | 32 | 2,112 | 2 | 7 |
| Workday parent site Workday Skills Cloud 2% | 2% | 117 | 1,220,000 | 23,848 | |||
| Pin pin.com | 2% | 199 | 368,000 | 243,385 | 24,375 | 28 | 4 |
| TalentNeuron talentneuron.com | 2% | 6 |
Google's top ten for the three searches hold 17 sites; 2 of them are among the sites the models cited here (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 an enterprise B2B company?”Paraphrase“Which AI talent platform for hiring and mobility would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade talent intelligence platforms and how do they differ?”Budget-constrained“What is the best talent intelligence platform 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 talent intelligence platform. What should we look at?”Negative“Which talent intelligence platforms should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5Eightfold AIagainst: Phenom, iCIMS Talent CloudEightfold AIHeldEightfold AIBryq, Eightfold AIagainst: Beamery, Phenom, Workday Skills Cloud, iCIMS Talent Cloudno first choiceagainst: Arya, Eightfold AI, Gloat, LinkedIn Talent Insights, TalentLaunch, Workday Skills Cloud
Three alternatives
Beamery, SeekOut, hireEZTwo alternatives
Gloat, PhenomEight alternatives
365Talents, Beamery, Gem, Gloat, Loxo, Metaview, Phenom, hireEZOne alternative
Criteria CorpGPT-5.4 miniEightfold AIWorkday Skills CloudChangedEightfold AI, Workday Skills Cloudagainst: iCIMS Talent CloudEightfold AIagainst: SeekOutno first choicenothing named
Three alternatives
HiredScore, TalentNeuron, Workday Skills CloudOne alternative
Eightfold AIThree alternatives
Beamery, LinkedIn Talent Insights, PhenomOne alternative
LinkedIn Talent InsightsGemini 3.5 FlashEightfold AIEightfold AIHeldEightfold AIEightfold AI, Findemagainst: LinkedIn Recruiter, SeekOutno first choiceagainst: Beamery, Eightfold AI, Fuel50, Gem, Gloat, Phenom, SeekOut, iCIMS Talent Cloud
Five alternatives
Beamery, Findem, Gloat, SeekOut, Workday Skills CloudThree alternatives
Gloat, Phenom, Workday Skills CloudSix alternatives
Beamery, Cornerstone, Draup, Gloat, Phenom, SeekOutOne alternative
Noon AIPerplexity SonarEightfold AIEightfold AIHeldEightfold AIBrightfieldno first choiceagainst: Beamery, Eightfold AI, Gloat, Phenom, Workday Skills Cloud
Four alternatives
Beamery, Lightcast, SeekOut, Workday Talent AcquisitionTwo alternatives
365Talents, GloatSix alternatives
365Talents, Beamery, Praisidio, SeekOut, Visier, iCIMS Talent CloudTwo alternatives
365Talents, Eightfold AIGrok 4.1 FastEightfold AIagainst: Loxo, Metaview, hireEZEightfold AIHeldEightfold AIagainst: LoxoSeekOutagainst: Beamery, Eightfold AI, Lightcast, Oracle HCM Cloud, Phenom, SAP SuccessFactors, TalentNeuron, hireEZno first choiceagainst: Infor Talent Science
Two alternatives
Beamery, SeekOutTwo alternatives
Beamery, GloatFive alternatives
Beamery, Fuel50, Gloat, Phenom, SeekOutTwo alternatives
Gem, Workday Skills CloudMistral SmallEightfold AIEightfold AI, PhenomChangedBeamery, Eightfold AISeekOutagainst: Beamery, Eightfold AIno first choiceagainst: HiPeople, Phenom, Praisidio, SeekOut, Workday Skills Cloud
Two alternatives
365Talents, BeamerySix alternatives
365Talents, Findem, Gem, Lightcast, SeekOut, hireEZDeepSeek V4 FlashEightfold AIEightfold AIHeldEightfold AIEightfold AIagainst: Degreed, Phenom, SeekOutno first choiceagainst: Beamery, Eightfold AI, Gloat, Phenom
Two alternatives
Beamery, GloatOne alternative
GloatSeven alternatives
Beamery, Draup, Gloat, HiredScore, Lightcast, Phenom, SkyHiveOne alternative
GloatLlama 4 MaverickEightfold AIno first choiceChangedno first choiceBeamery, Eightfold AI, Gloatno first choicenothing named
Two alternatives
365Talents, BeameryQwen 3.7 FlashEightfold AIGloatChangedEightfold AIEightfold AI, SeekOutno first choiceagainst: Beamery, Eightfold AI, LinkedIn Recruiter, Phenom, SeekOut, iCIMS Talent Cloud
Two alternatives
Beamery, SeekOutTwo alternatives
Eightfold AI, Fuel50Four alternatives
Gloat, HireVue, Phenom, SeekOutThree alternatives
Beamery, Gloat, LinkedIn Talent SolutionsKimi K2Eightfold AIEightfold AI, GloatChangedEightfold AI365Talentsagainst: Beamery, Eightfold AI, Fuel50, GloatEightfold AIagainst: Beamery, Crunchr, Eightfold AI, Gloat, LinkedIn Recruiter, Phenom, SeekOut, Workday Skills Cloud
Five alternatives
Beamery, Gloat, LinkedIn Talent Insights, SeekOut, hireEZTwo alternatives
Fuel50, Workday Skills CloudSix alternatives
Beamery, Fuel50, Gloat, Lightcast, Phenom, SeekOutThree alternatives
ChartHop, SAP SuccessFactors, Workday Skills CloudTwo alternatives
Beamery, PhenomGLM 4.7 FlashXEightfold AIEightfold AIHeldEightfold AIEightfold AIagainst: Beamery, Lightcastno first choiceagainst: Eightfold AI, Greenhouse, SAP SuccessFactors, SeekOut
Five alternatives
Beamery, Gloat, LinkedIn Talent Insights, Phenom, SeekOutOne alternative
GloatSeven alternatives
Beamery, Findem, Gloat, LinkedIn Talent Insights, Phenom, SeekOut, VisierOne alternative
GemMiniMax M2.5Eightfold AIEightfold AIHeldEightfold AIEightfold AIagainst: SeekOut, hireEZno first choicenothing named
Two alternatives
Beamery, GloatTwo alternatives
Gloat, PhenomFour alternatives
Beamery, Findem, Gloat, SeekOutThree alternatives
Beamery, Phenom, iCIMS Talent CloudGPT-6 LunaEightfold AI, TalentNeuronEightfold AIChangedEightfold AITalVistano first choiceagainst: Eightfold AI, HiredScore, Workday Skills Cloud
Two alternatives
LinkedIn Talent Insights, SeekOutOne alternative
GloatSeven alternatives
Beamery, Draup, Gloat, Lightcast, LinkedIn Talent Insights, SeekOut, TalentNeuronThree alternatives
Beamery, Eightfold AI, LightcastMuse Glimmer 30BEightfold AIEightfold AIHeldEightfold AIagainst: Workday Skills Cloud, iCIMS Talent CloudBeamery, Eightfold AI, Pinagainst: Gem, SeekOut Recruitno first choiceagainst: Beamery, Eightfold AI, Gloat, Phenom, Visier, Workday Skills Cloud, iCIMS Talent Cloud
Three alternatives
Beamery, LinkedIn Talent Insights, SeekOutThree alternatives
Beamery, Gloat, PhenomEight alternatives
Beamery, Draup, Findem, Gloat, LinkedIn Talent Insights, Phenom, SeekOut, VisierBold 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 10:09 | yes | 14 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:10 | yes | 4 | 6 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:11 | yes | 12 | 21 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 08:54 | yes | 16 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:34 | yes | 25 | 9 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:56 | yes | 5 | 3 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:49 | yes | 23 | 26 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:14 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:21 | yes | 9 | 34 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:53 | yes | 19 | 22 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:06 | yes | 23 | 123 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:58 | yes | 14 | 16 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:44 | yes | 4 | 17 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:55 | yes | 14 | 26 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:31 | yes | 9 | 7 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:08 | yes | 3 | 4 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:47 | yes | 19 | 28 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 07:53 | yes | 20 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:33 | yes | 23 | 8 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:41 | yes | 5 | 3 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:55 | yes | 24 | 34 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:12 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:22 | no | 0 | 33 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:20 | yes | 15 | 16 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:34 | yes | 20 | 17 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:54 | yes | 10 | 25 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:13 | yes | 3 | 12 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 07:59 | yes | 13 | 27 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:38 | yes | 15 | 10 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:07 | yes | 8 | 13 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:26 | yes | 26 | 28 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 08:29 | yes | 17 | 5 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:53 | yes | 20 | 8 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:27 | yes | 10 | 8 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:30 | yes | 25 | 30 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:54 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 07:38 | no | 0 | 29 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:35 | yes | 25 | 30 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:04 | yes | 20 | 50 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:34 | yes | 14 | 26 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:40 | yes | 8 | 36 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:29 | yes | 22 | 46 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:31 | yes | 13 | 10 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:27 | yes | 5 | 6 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:15 | yes | 23 | 34 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 12:07 | yes | 16 | 7 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:28 | yes | 17 | 10 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:17 | yes | 5 | 3 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:45 | yes | 21 | 39 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:02 | yes | 5 | 3 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:22 | yes | 9 | 22 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:17 | yes | 24 | 35 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:58 | yes | 25 | 31 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:42 | yes | 17 | 85 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:46 | yes | 1 | 20 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:45 | yes | 17 | 41 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:05 | yes | 19 | 15 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:04 | no | 0 | 8 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:45 | yes | 8 | 27 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 07:38 | yes | 17 | 5 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:41 | yes | 15 | 14 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:40 | no | 0 | 10 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:59 | yes | 23 | 46 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:17 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:50 | no | 0 | 37 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:42 | yes | 14 | 24 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:12 | yes | 24 | 104 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:54 | no | 0 | 11 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:25 | yes | 3 | 21 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:48 | yes | 15 | 28 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:58 | yes | 18 | 11 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:47 | yes | 6 | 7 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:32 | yes | 14 | 22 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 08:29 | yes | 19 | 3 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:53 | yes | 24 | 11 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:41 | yes | 15 | 8 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:48 | yes | 24 | 60 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 12:05 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:17 | yes | 14 | 38 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:41 | yes | 24 | 41 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:23 | yes | 22 | 72 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:55 | yes | 25 | 50 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:47 | yes | 4 | 38 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:11 | yes | 23 | 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
SAP read as SAP SuccessFactors
TalentIQ read as Talent IQ
Workday read as Workday Skills Cloud
Workday (with HiredScore) read as Workday Skills Cloud
Workday Talent Marketplace read as Workday Skills Cloud
iCIMS read as iCIMS Talent Cloud
Unresolved, counted raw
Brightfield
Crosschq
Fuel50 Talent Intelligence Platform
IBM Watson Talent
TalentLaunch
Discontinued, still offered
No shut-down product was recommended here.