Skills intelligence for enterprise buyers
Asked as “skills intelligence platform”, and as “skills taxonomy and inference tool”, on behalf of an enterprise B2B company. 51 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
47%
Clear leader
47Eightfold AI10TechWolf08Lightcast Open Skills35others
47% of first choices, clear leader.
Since September 2026▲+13Since September 2026: 33% → 45%, +13 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Eightfold AI held the lead, +13 points on 33%, 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
Skills Base45%Clear leader▲+6Since September 2026: 35% → 40%, +6 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →Mid-marketSkills Base18%Contested↗new leaderNew leader since September 2026: Skills Base (16%) replaces TalentGuard (19% then, 10% now), 6 points clear, inside the 13-point floor.Standing →Enterprise
Eightfold AI47%Clear leader▲+13Since September 2026: 33% → 45%, +13 points. Inside the 13-point floor: within noise. Read over the models both editions asked.This page
Skills Base45%Clear leader▲+6Since September 2026: 35% → 40%, +6 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →Mid-marketSkills Base18%Contested↗new leaderNew leader since September 2026: Skills Base (16%) replaces TalentGuard (19% then, 10% now), 6 points clear, inside the 13-point floor.Standing →EnterpriseEightfold AI47%Clear leader▲+13Since September 2026: 33% → 45%, +13 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 AI47%21%47endorsed leader▲+13Since September 2026: 33% → 45%, +13 points. Inside the 13-point floor: within noise. Read over the models both editions asked.33% → 45%
Eightfold AI47%21%47endorsed leader▲+13Since September 2026: 33% → 45%, +13 points. Inside the 13-point floor: within noise. Read over the models both editions asked.33% → 45%02
TechWolf10%13%23accepted challenger=heldSince September 2026: 12% → 11%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.12% → 11%
TechWolf10%13%23accepted challenger=heldSince September 2026: 12% → 11%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.12% → 11%03
Lightcast Open Skills8%8%12accepted challenger▼−2Since September 2026: 9% → 7%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.9% → 7%
Lightcast Open Skills8%8%12accepted challenger▼−2Since September 2026: 9% → 7%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.9% → 7%04
Workday Skills Cloud6%16%37accepted challenger▼−5Since September 2026: 12% → 7%, −5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.12% → 7%
Workday Skills Cloud6%16%37accepted challenger▼−5Since September 2026: 12% → 7%, −5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.12% → 7%05
Gloat4%24%41accepted challenger=heldSince September 2026: 5% → 5%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.5% → 5%
Gloat4%24%41accepted challenger=heldSince September 2026: 5% → 5%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.5% → 5%06
Fuel502%14%21accepted challenger▼−2Since September 2026: 5% → 2%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.5% → 2%
Fuel502%14%21accepted challenger▼−2Since September 2026: 5% → 2%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.5% → 2%07
365Talents2%11%19accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%
365Talents2%11%19accepted 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
iMocha2%25%12criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%
iMocha2%25%12criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%Show the six products at 0%, ordered by negative rate
13
SAP SuccessFactors Skills0%36%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%
SAP SuccessFactors Skills0%36%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%12
Beamery0%32%22criticized 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%32%22criticized 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
Phenom0%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%
Phenom0%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%09
Degreed0%20%20accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 0%
Degreed0%20%20accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 0%11
Docebo0%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%
Docebo0%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%10
Cornerstone OnDemand0%16%19accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
Cornerstone OnDemand0%16%19accepted 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.
All twenty-eight head-to-head pages: the top eight products, each against each
Skills Base vs TechWolfSkills Base vs MuchSkillsSkills Base vs Fuel50Skills Base vs GloatTalentGuard vs iMochaTalentGuard vs 365TalentsTalentGuard vs TechWolfTalentGuard vs MuchSkillsTalentGuard vs Fuel50TalentGuard vs GloatiMocha vs 365TalentsiMocha vs TechWolfiMocha vs MuchSkillsiMocha vs Fuel50iMocha vs Gloat365Talents vs TechWolf365Talents vs MuchSkills365Talents vs Fuel50365Talents vs GloatTechWolf vs MuchSkillsTechWolf vs Fuel50TechWolf vs GloatMuchSkills vs Fuel50MuchSkills vs GloatFuel50 vs Gloat
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 →
0102030405060708091011121314Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative60%
Key
01Eightfold AI47%
Eightfold AI47%02TechWolf10%
TechWolf10%03Lightcast Open Skills8%
Lightcast Open Skills8%04Workday Skills Cloud6%
Workday Skills Cloud6%05Gloat4%
Gloat4%06Fuel502%
Fuel502%07365Talents2%
365Talents2%08iMocha2%
iMocha2%09Degreed0%
Degreed0%10Cornerstone OnDemand0%
Cornerstone OnDemand0%11Docebo0%
Docebo0%12Beamery0%
Beamery0%13SAP SuccessFactors Skills0%
SAP SuccessFactors Skills0%14Phenom0%
Phenom0%What they warned about
Three 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, Llama 4 Maverick, Qwen 3.7 Flash, 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 AI21%
10 of 47 labels negative · 8 of 14 models · 2 hard negative
“"Avoid Eightfold/Gloat/Beamery unless you have enterprise-scale resources"...flagged for "Unpredictable Costs: Quote-only"...1 hard negative” Muse Glimmer 30B, negative prompt
Gloat24%
10 of 41 labels negative · 8 of 14 models · 2 hard negative
“**Gloat**: Frequently flagged for **unpredictable costs** ($15–25 per employee per month + $100K+ setup fees; quote-only pricing fails "predictable total cost" tests)” Grok 4.1 Fast, negative prompt
Workday Skills Cloud16%
6 of 37 labels negative · 6 of 14 models
“Workday- or SAP-centered capabilities may make sense if you want a skills layer inside your existing HCM, but verify they support the depth of mobility, project matching, and career pathing you need.” GPT-6 Luna, negative prompt
Beamery32%
7 of 22 labels negative · 5 of 14 models · 2 hard negative
“"Avoid Eightfold/Gloat/Beamery unless you have enterprise-scale resources" and criticises Beamery as a criticised challenger” Muse Glimmer 30B, 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
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. 1217 links across 306 sites, every framing counted. Ranked by the number of answers carrying the site or page. 61 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.
38 answers · 41 citations · 12 models
30 answers · 41 citations · 11 models
vendor site · Darwinbox27 answers · 32 citations · 11 models
22 answers · 36 citations · 9 models
vendor site · Fuel5022 answers · 26 citations · 10 models
20 answers · 27 citations · 10 models
vendor site · Acorn20 answers · 21 citations · 10 models
vendor site · Guideflow19 answers · 24 citations · 8 models
vendor site · 365Talents18 answers · 21 citations · 10 models
vendor site · FirstHR18 answers · 18 citations · 9 models
vendor site · G217 answers · 41 citations · 7 models
vendor site · Pin15 answers · 24 citations · 11 models
Pages the answers cite
The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.
35 answers · 11 models
23 answers · 10 models
21 answers · 10 models
18 answers · 9 models
18 answers · 9 models
14 answers · 8 models
12 answers · 9 models
12 answers · 8 models
12 answers · 11 models
11 answers · 6 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 “skills intelligence platform”, “skills 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 47% | 47% | 540 | 4,400 | 187 | 53,360 company | 17 | 5 |
| TechWolf techwolf.ai | 10% | 38 | 880 | 10 | 476 | 11 | |
| Lightcast lightcast.io Lightcast Open Skills 8% | 8% | 26 | 6,600 | 192 | 106,942 company | 10 | |
| Workday parent site Workday Skills Cloud 6% | 6% | 117 | 1,220,000 | 23,848 | |||
| Gloat gloat.com | 4% | 315 | 27,100 | 359 | 22,734 | 0 | |
| Skills Base skills-base.com | 4% | 62 | 480 | 1,728 | 1,283 | 17 | |
| Fuel50 fuel50.com | 2% | 200 | 480 | 0 | 11,009 | 6 | |
| 365Talents 365talents.com | 2% | 94 | 90 | 1 | 2,859 | 25 | |
| iMocha imocha.io | 2% | 96 | 480 | 13 | 7,474 | 22 | 8 |
| SkillPanel skillpanel.com | 2% | 36 | 10 | 0 | 4,174 |
Google's top ten for the two searches hold 15 sites; 0 of them are among the sites the models cited here. The first result for “skills intelligence platform” is infoprolearning.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 skills intelligence platform for an enterprise B2B company?”Paraphrase“Which skills taxonomy and inference tool would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade skills platforms and how do they differ?”Budget-constrained“What is the best skills 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 skills intelligence platform. What should we look at?”Negative“Which skills platforms should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5Eightfold AIEightfold AI, TechWolfChangedDegreedCloud Assessagainst: Beamery, Eightfold AI, Gloat, Phenomno first choiceagainst: Docebo
Five alternatives
Beamery, Fuel50, Neobrain, SkillPanel, Workday Skills CloudOne alternative
DegreedOne alternative
OpenSesameTwo alternatives
Skills Base, SkillsDBGPT-5.4 miniEightfold AI, Workday Skills CloudLightcast Open SkillsChangedno first choice365Talentsagainst: Skillveeno first choicenothing named
Two alternatives
Gloat, TechWolfTwo alternatives
SkyHive, Workday Skills CloudOne alternative
MuchSkillsGemini 3.5 FlashSkillcraft, TechWolfTechWolfChangedagainst: Eightfold AIno first choiceTechWolfagainst: Degreed, Eightfold AI, Gloatno first choiceagainst: SAP SuccessFactors Skills, Workday Skills Cloud
Four alternatives
365Talents, Eightfold AI, Gloat, MindtickleFour alternatives
Cornerstone Galaxy, Gloat, SAP SuccessFactors Talent Intelligence Hub, Workday Skills CloudFour alternatives
Eightfold AI, Gloat, TechWolf, Workday Skills CloudFour alternatives
Beamery, Coderbyte, Kahuna Workforce Solutions, iMochaPerplexity SonarEightfold AILightcast Open SkillsChangedBeamery, Degreed, Skillsoft PercipioEightfold AI, Workday HCM\u2019s built-in skills intelligenceno first choiceagainst: Degreed, Eightfold AI, Fuel50, Gloat, LinkedIn Learning, Oracle HCM Cloud, Phenom, SAP SuccessFactors Skills, SeekOut, TechWolf, Workday Skills Cloud
Eight alternatives
365Talents, Beamery, Gloat, Lightcast Open Skills, Oracle HCM Cloud, SAP SuccessFactors Skills, TechWolf, Workday Skills CloudSeven alternatives
360Learning, Adobe Learning Manager, Coursera, Docebo, LinkedIn Learning, Pluralsight Skills, Udemy BusinessTwo alternatives
Gloat, NeobrainGrok 4.1 FastEightfold AI, GloatEightfold AIChangedagainst: TechWolfDegreedSkills Baseagainst: 365Talents, Beamery, Cloud Assess, Degreed, Eightfold AI, Gloat, Pin, Workday Skills Cloudno first choiceagainst: 365Talents, Beamery, Cornerstone OnDemand, Gloat, GoSkills, Neobrain, Pluralsight Skills, SkillPanel
Three alternatives
Beamery, Cornerstone OnDemand, Fuel50Two alternatives
Gloat, Workday Skills CloudThree alternatives
360Learning, Cornerstone OnDemand, DoceboOne alternative
SkillPanelMistral SmallEightfold AI, Gloat Skills FoundationEightfold AIChangedDoceboBryq, SkillPanelagainst: Beamery, Eightfold AI, Gloat, iMochano first choicenothing named
One alternative
365TalentsSeven alternatives
AG5, Cornerstone OnDemand, Degreed, Kahuna, TalentLMS, TechWolf, iMochaDeepSeek V4 FlashEightfold AITechWolfChangedagainst: ESCO, O*NETno first choiceagainst: MuchSkillsWorkday Skills Cloudagainst: Eightfold AIno first choiceagainst: Cornerstone OnDemand, SAP SuccessFactors Skills, Workday Skills Cloud
Four alternatives
Cornerstone OnDemand, Gloat, TechWolf, Workday Skills CloudFive alternatives
Eightfold AI, Gloat, Lightcast Open Skills, SAP SuccessFactors Skills, Workday Skills CloudNine alternatives
365Talents, AG5, Cornerstone OnDemand, Degreed, Fuel50, Gloat, SAP SuccessFactors Talent Management, Workday Skills Cloud, iMochaOne alternative
Gloat Skills FoundationSix alternatives
Eightfold AI, Gloat, Lightcast Open Skills, SkyHive, TechWolf, Workday Skills CloudLlama 4 MaverickiMochano first choiceChangedno first choiceno first choiceno first choiceagainst: Degreed, Eightfold AI, Fuel50, Gloat, LinkedIn Learning, Oracle HCM Cloud, Phenom, SAP SuccessFactors Skills, SeekOut, TechWolf, Workday Skills Cloud, Workera, iMocha
Qwen 3.7 FlashEightfold AIEightfold AI, Lightcast Open SkillsChangedDegreedFuel50, Workday Skills CloudNeobrainnothing named
Three alternatives
Gloat, HIREZONE.ai, VensaiTwo alternatives
TechWolf, Workday Skills CloudFive alternatives
360Learning, Axonify, Cornerstone OnDemand, Docebo, Oracle LearningThree alternatives
Eightfold AI, Gloat, SAP SuccessFactors SkillsFour alternatives
8D Technologies, Fuel50, Gloforces, HighQKimi K2Eightfold AIEightfold AIHeldCornerstone OnDemand, Degreedagainst: DoceboEightfold AIno first choiceagainst: Cornerstone OnDemand, LinkedIn Learning, Udemy Business
Two alternatives
Beamery, GloatTwo alternatives
Gloat, Workday Skills CloudSix alternatives
360Learning, Coursera, Pluralsight Skills, Skillsoft Percipio, Udemy Business, Workday LearningTwo alternatives
Cornerstone Skills Engine, GloatGLM 4.7 FlashXEightfold AIEightfold AIHeldCornerstone OnDemand, Doceboagainst: Udemy BusinessEightfold AIagainst: Beamery, Gloat, Lightcast Open Skills, iMochano first choicenothing named
Five alternatives
365Talents, Fuel50, SAP SuccessFactors Skills, Workday Skills Cloud, iMochaFour alternatives
Beamery Skills Platform, Fuel50, TechWolf, Workday Skills CloudFive alternatives
360Learning, Kallidus Learn, Neurobrain / Nestor, SAP SuccessFactors Learning, Workday LearningOne alternative
Skills BaseMiniMax M2.5Eightfold AI, GloatEightfold AIChangedno first choiceno first choiceno first choicenothing named
Three alternatives
365Talents, Beamery, Lightcast Open SkillsFour alternatives
Gloat, SAP SuccessFactors Skills, TechWolf, Workday Skills CloudThree alternatives
Degreed, Eightfold AI, Workday Skills CloudGPT-6 LunaEightfold AIEightfold AI, Lightcast Open SkillsChangedno first choiceSkills Baseno first choiceagainst: SAP SuccessFactors Skills, Workday Skills Cloud
Two alternatives
Gloat, Workday Skills CloudOne alternative
Workday Skills CloudEight alternatives
365Talents, Beamery, Eightfold AI, Gloat, Oracle Dynamic Skills, SAP SuccessFactors Talent Intelligence Hub, TechWolf, Workday Skills CloudTwo alternatives
TechWolf, Workday Skills CloudMuse Glimmer 30BEightfold AIEightfold AIHeldCornerstone Galaxy, Degreed, Skillsoft Percipioagainst: Udemy BusinessSkilltypeagainst: Beamery, Eightfold AI, Fuel50, Gloatno first choiceagainst: Beamery, Eightfold AI, Findem, Gloat
Four alternatives
Fuel50, Gloat, TechWolf, Workday Skills CloudFive alternatives
Acorn PLMS, ESCO, Lightcast Open Skills, O*NET, TechWolfThree alternatives
Coursera, LinkedIn Learning, Pluralsight SkillsBold 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 10:24 | yes | 9 | 6 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:54 | yes | 6 | 6 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:36 | yes | 17 | 22 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 10:36 | yes | 20 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:55 | yes | 24 | 9 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:36 | yes | 10 | 5 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:13 | yes | 23 | 19 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:58 | yes | 5 | 1 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:52 | no | 0 | 27 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:35 | yes | 12 | 20 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:47 | yes | 22 | 57 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:11 | yes | 16 | 23 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:00 | yes | 4 | 20 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:48 | yes | 13 | 22 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:54 | yes | 17 | 9 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:08 | yes | 4 | 6 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:49 | yes | 19 | 24 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 12:02 | yes | 20 | 6 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:44 | yes | 24 | 8 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:07 | yes | 10 | 5 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:47 | yes | 24 | 29 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:22 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 07:51 | yes | 8 | 33 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:06 | yes | 19 | 25 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:19 | yes | 23 | 37 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:00 | yes | 11 | 57 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:34 | yes | 2 | 11 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:59 | yes | 21 | 30 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:01 | yes | 16 | 12 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:48 | yes | 7 | 10 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:55 | yes | 26 | 31 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 08:50 | yes | 20 | 4 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:56 | yes | 24 | 9 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:42 | yes | 11 | 10 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:18 | yes | 24 | 41 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:01 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:15 | yes | 5 | 45 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:29 | yes | 19 | 26 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:32 | yes | 20 | 33 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:39 | yes | 12 | 24 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:50 | yes | 10 | 35 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 07:39 | yes | 25 | 35 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:09 | yes | 14 | 8 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:13 | yes | 3 | 6 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:25 | yes | 20 | 34 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 11:07 | yes | 20 | 4 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:04 | yes | 19 | 9 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:55 | yes | 12 | 6 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:35 | yes | 25 | 33 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:17 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:24 | yes | 24 | 119 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:53 | yes | 24 | 24 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:59 | yes | 21 | 91 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:43 | yes | 18 | 93 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:10 | yes | 3 | 23 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:23 | yes | 18 | 26 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:15 | yes | 18 | 15 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:04 | yes | 0 | 6 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:00 | yes | 9 | 31 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 11:22 | yes | 20 | 9 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:46 | yes | 15 | 7 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:03 | no | 0 | 8 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:45 | yes | 24 | 54 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:49 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:13 | yes | 5 | 30 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:09 | yes | 25 | 31 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:54 | yes | 22 | 33 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:36 | yes | 10 | 17 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:48 | yes | 3 | 21 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:52 | yes | 15 | 19 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:19 | yes | 17 | 10 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:42 | yes | 6 | 10 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:14 | yes | 16 | 33 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 08:25 | yes | 20 | 4 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:34 | yes | 24 | 10 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:28 | yes | 13 | 8 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:10 | yes | 24 | 46 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:06 | yes | 5 | 4 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:27 | yes | 5 | 30 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 07:44 | yes | 24 | 27 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:31 | yes | 14 | 145 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:26 | yes | 19 | 47 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:43 | yes | 2 | 16 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 07:39 | yes | 19 | 40 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
Acorn read as Acorn PLMS
Cornerstone read as Cornerstone OnDemand
Coursera for Business read as Coursera
Eightfold read as Eightfold AI
Lightcast read as Lightcast Open Skills
Lightcast (formerly Emsi) read as Lightcast Open Skills
Litmos read as SAP Litmos
Oracle read as Oracle HCM Cloud
Pluralsight read as Pluralsight Skills
SAP read as SAP SuccessFactors Skills
SAP SuccessFactors read as SAP SuccessFactors Skills
Skillsoft read as Skillsoft Percipio
Skillsoft (Percipio) read as Skillsoft Percipio
Workday read as Workday Skills Cloud
Unresolved, counted raw
8D Technologies
Acorn LMS
Beamery Skills Platform
Cornerstone Skills Engine
Gloforces
HIREZONE.ai
HighQ
Kahuna Workforce Solutions
Kallidus Learn
LinkedIn Talent Insights enterprise tier
Neurobrain / Nestor
Oracle Dynamic Skills
Oracle talent/skills capabilities
Pearson Talent Planning
SAP SuccessFactors Talent Management
SAP skills frameworks / talent intelligence features
Skillcraft
SkillsFirst
Skilltype
Skillvee
TalentOwl
Vensai
Workday HCM\u2019s built-in skills intelligence
Discontinued, still offered
No shut-down product was recommended here.