Learning experience platforms for enterprise buyers
Asked as “learning experience platform”, and as “LXP”, on behalf of an enterprise B2B company. 50 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
40%
Contested · Degreed 16%
40Docebo16Degreed10Cornerstone OnDemand34others
40% of first choices, contested.
Since September 2026▲+7Since September 2026: 32% → 39%, +7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Docebo held the lead, +7 points on 32%, inside the 13-point floor.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.
Small business
GoSkills50%Clear leader▼−4Since September 2026: 57% → 52%, −4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →Mid-market
360Learning26%Contested↗new leaderNew leader since September 2026: 360Learning (25%) replaces Learn Amp (28% then, 11% now), 14 points clear, past the 13-point floor.Standing →Enterprise
Docebo40%Contested▲+7Since September 2026: 32% → 39%, +7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.This page
GoSkills50%Clear leader▼−4Since September 2026: 57% → 52%, −4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →Mid-market360Learning26%Contested↗new leaderNew leader since September 2026: 360Learning (25%) replaces Learn Amp (28% then, 11% now), 14 points clear, past the 13-point floor.Standing →EnterpriseDocebo40%Contested▲+7Since September 2026: 32% → 39%, +7 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
01Docebo40%20%61endorsed leader▲+7Since September 2026: 32% → 39%, +7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.32% → 39%
Docebo40%20%61endorsed leader▲+7Since September 2026: 32% → 39%, +7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.32% → 39%02
Degreed16%32%53criticized challenger▼−5Since September 2026: 20% → 16%, −5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.20% → 16%
Degreed16%32%53criticized challenger▼−5Since September 2026: 20% → 16%, −5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.20% → 16%03
Cornerstone OnDemand10%30%53criticized challenger▲+7Since September 2026: 5% → 11%, +7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.5% → 11%
Cornerstone OnDemand10%30%53criticized challenger▲+7Since September 2026: 5% → 11%, +7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.5% → 11%04360Learning8%14%43accepted challenger=heldSince September 2026: 7% → 7%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.7% → 7%
360Learning8%14%43accepted challenger=heldSince September 2026: 7% → 7%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.7% → 7%05
Absorb LMS8%7%29accepted challenger▲+9Since September 2026: 0% → 9%, +9 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 9%
Absorb LMS8%7%29accepted challenger▲+9Since September 2026: 0% → 9%, +9 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 9%06EdCast6%17%12accepted challenger▲+7Since September 2026: 0% → 7%, +7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 7%
Show the one product at 0%, ordered by negative rate
07
SAP SuccessFactors Learning0%11%18accepted 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 Learning0%11%18accepted 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
360Learning vs Learn Amp360Learning vs Docebo360Learning vs Degreed360Learning vs Udemy BusinessGoSkills vs TalentLMSGoSkills vs Absorb LMSGoSkills vs Learn AmpGoSkills vs DoceboGoSkills vs DegreedGoSkills vs Udemy BusinessTalentLMS vs Absorb LMSTalentLMS vs Learn AmpTalentLMS vs DoceboTalentLMS vs DegreedTalentLMS vs Udemy BusinessAbsorb LMS vs Learn AmpAbsorb LMS vs DoceboAbsorb LMS vs DegreedAbsorb LMS vs Udemy BusinessLearn Amp vs DoceboLearn Amp vs DegreedLearn Amp vs Udemy BusinessDocebo vs DegreedDocebo vs Udemy BusinessDegreed vs Udemy Business
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 →
0102030405E06
07Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative60%
Key
01Docebo40%
Docebo40%02Degreed16%
Degreed16%03Cornerstone OnDemand10%
Cornerstone OnDemand10%04360Learning8%
360Learning8%05Absorb LMS8%
Absorb LMS8%06EdCast6%
07SAP SuccessFactors Learning0%
SAP SuccessFactors Learning0%What they warned about
Four of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Grok 4.1 Fast, Mistral Small, DeepSeek V4 Flash, Qwen 3.7 Flash, Kimi K2, GLM 4.7 FlashX, MiniMax M2.5 and GPT-6 Luna changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Degreed32%
17 of 53 labels negative · 13 of 14 models · 5 hard negative
“What to Avoid for Predictability | **Degreed** | Quote-only; reports suggest $10–15/user/month at 1,000+ users, but implementation alone runs $10–20K.” DeepSeek V4 Flash, budget prompt
Cornerstone OnDemand30%
16 of 53 labels negative · 11 of 14 models · 6 hard negative
“Platforms with Notable Enterprise Red Flags ... Cornerstone: Per-user/month pricing scales poorly for massive user bases (costs explode unpredictably)” Grok 4.1 Fast, negative prompt
Docebo20%
12 of 61 labels negative · 9 of 14 models · 3 hard negative
“It's recommended to avoid per-user/month platforms like Docebo, Cornerstone, and 360Learning if cost predictability is the top priority.” Llama 4 Maverick, budget prompt
360Learning14%
6 of 43 labels negative · 5 of 14 models · 2 hard negative
“It's recommended to avoid per-user/month platforms like Docebo, Cornerstone, and 360Learning” Llama 4 Maverick, budget prompt
What they cite
Citations exist only for the models that return a source list: fourteen of the fourteen in this edition, and all six flagship models on the expanded tier.
Sites the answers cite
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. 1125 links across 279 sites, every framing counted. Ranked by the number of answers carrying the site or page. 45 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 · GoSkills52 answers · 58 citations · 12 models
vendor site · Docebo36 answers · 50 citations · 12 models
vendor site · Guideflow33 answers · 33 citations · 11 models
vendor site · G229 answers · 55 citations · 13 models
vendor site · 360Learning25 answers · 37 citations · 9 models
23 answers · 23 citations · 9 models
vendor site · FirstHR21 answers · 27 citations · 11 models
20 answers · 27 citations · 10 models
20 answers · 23 citations · 11 models
16 answers · 21 citations · 8 models
vendor site · LearnWorlds15 answers · 19 citations · 8 models
15 answers · 15 citations · 8 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.
52 answers · 12 models
32 answers · 10 models
23 answers · 9 models
19 answers · 10 models
19 answers · 11 models
19 answers · 10 models
17 answers · 8 models
15 answers · 8 models
15 answers · 7 models
14 answers · 7 models
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best learning experience platform”, “learning experience platform”, “learning experience 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 |
|---|---|---|---|---|---|---|---|---|
| Docebo docebo.com | 40% | 351 | 9,900 | 242 | 98,677 | 15 | ||
| Degreed degreed.com | 16% | 148 | 4,400 | 939,221 | 16,835 | 11 | ||
| Cornerstone cornerstoneondemand.com Cornerstone OnDemand 10% | 10% | 283 | 165,000 | 17,999 | 33,785 company | $428 | 100 | 2 |
| 360Learning 360learning.com | 8% | 266 | 2,400 | 40 | 45,896 | 8 | 3 | |
| Absorb absorbai.com Absorb LMS 8% | 8% | 223 | 2,900 | 34 | 16,283 | $8 | 120 | |
| EdCast | 6% | 590 | 5 | |||||
| LearnUpon learnupon.com | 4% | 90 | 5,400 | 55 | 81,523 | 40 | 9 | |
| GoSkills goskills.com | 2% | 141 | 1,900 | 23 | 120,277 | 120 | ||
| My Learning Hub | 2% | |||||||
| TOPYX topyx.com | 2% | 3 |
Google's top ten for the three searches hold 24 sites; 1 of them are among the sites the models cited here (360learning.com). The first result for “best learning experience platform” is reddit.com.
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.ShowHide
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ShowHideModelDirect“What is the best learning experience platform for an enterprise B2B company?”Paraphrase“Which LXP would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade learning experience platforms and how do they differ?”Budget-constrained“What is the best learning experience 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 learning experience platform. What should we look at?”Negative“Which learning experience platforms should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5no first choiceCornerstone OnDemand, EdCastChangedDoceboDoceboagainst: 360Learning, Cornerstone OnDemandno first choiceagainst: Continu, Cornerstone OnDemand, Degreed, Docebo
Two alternatives
Degreed, DoceboFive alternatives
360Learning, Absorb LMS, Cornerstone OnDemand, Learn365, TalentLMSGPT-5.4 miniDoceboDegreedChangedDegreedagainst: Absorb LMSCornerstone OnDemand, Docebo, EdCastno first choiceagainst: Degreed
Two alternatives
360Learning, DegreedOne alternative
SAP SuccessFactors LearningThree alternatives
360Learning, Docebo, SAP SuccessFactors LearningOne alternative
SAP SuccessFactors LearningGemini 3.5 FlashDoceboDoceboHeldDegreedTOPYXagainst: DoceboDegreedagainst: Degreed, EdCast, Valamis
Four alternatives
360Learning, Cornerstone OnDemand, Degreed, SkilljarThree alternatives
360Learning, Cornerstone OnDemand, DegreedFive alternatives
360Learning, Cornerstone OnDemand, Docebo, Microsoft Viva Learning, Sana LearnThree alternatives
Absorb LMS, Degreed, EdCastThree alternatives
360Learning, Cornerstone OnDemand, DoceboPerplexity SonarDoceboDoceboHeld360Learning, Degreed, Sana Learnagainst: LearnUponAbsorb LMSno first choiceagainst: Cornerstone OnDemand, Degreed, Docebo, Skillsoft Percipio
Two alternatives
360Learning, ThinkificFour alternatives
360Learning, Absorb LMS, Cornerstone OnDemand, Sana LearnThree alternatives
Adobe Learning Manager, Docebo, EdCastOne alternative
DoceboGrok 4.1 FastDoceboCornerstone OnDemandChangedCornerstone OnDemand, Degreedagainst: Absorb LMSDoceboagainst: Coursera for Business, Degreed, LinkedIn Learning, Moodle, TalentLMS, iSpring Suiteno first choiceagainst: 360Learning, Articulate 360, Cornerstone OnDemand, Degreed, Docebo, GoSkills, UKG Pro, Workday Learning
Three alternatives
360Learning, Absorb LMS, DegreedThree alternatives
Degreed, Docebo, SAP SuccessFactors LearningTwo alternatives
360Learning, DoceboTwo alternatives
Cornerstone OnDemand, LearnUponMistral SmallAbsorb LMSAbsorb LMS, Cornerstone OnDemandChangedOracleDocebono first choiceagainst: 360Learning, Cornerstone OnDemand, Degreed, Docebo, Fuel50, Learnerbly, Skillsoft Percipio
Two alternatives
Adobe Learning Manager, Cornerstone OnDemandTwo alternatives
360Learning, DoceboFour alternatives
Absorb LMS, Adobe, Docebo, EdCastFive alternatives
Absorb LMS, Adobe Learning Manager, Coursera for Business, Litmos, edXDeepSeek V4 FlashDoceboDegreedChangedno first choice360Learningagainst: Cornerstone OnDemand, Degreed, Docebo, Skillsoft Percipiono first choiceagainst: Cornerstone OnDemand, Degreed, Docebo, Gloat, HowNow, LearnUpon
Three alternatives
360Learning, Cornerstone OnDemand, DegreedTwo alternatives
360Learning, Cornerstone OnDemandOne alternative
GoSkillsLlama 4 Maverickno first choiceno first choiceHeldno first choiceLearnUponagainst: 360Learning, Cornerstone OnDemand, Docebono first choiceagainst: 360Learning, Cornerstone OnDemand, Degreed, Docebo
Qwen 3.7 FlashDegreed, Doceboagainst: Cornerstone OnDemandDegreedChangedDegreed, DoceboGoSkillsagainst: Cornerstone OnDemand, Degreed, Fuel50no first choicenothing named
Three alternatives
Absorb LMS, Axonify, EdCastTwo alternatives
Docebo, EdCastThree alternatives
360Learning, Cornerstone OnDemand, TotaraOne alternative
DoceboKimi K2DoceboCornerstone OnDemand, DoceboChangedCornerstone OnDemand, Doceboagainst: SAP SuccessFactors Learning, Workday Learning360Learningagainst: Degreedno first choiceagainst: Cornerstone OnDemand, SAP SuccessFactors Learning, Saba, SumTotal
Four alternatives
360Learning, Cornerstone OnDemand, Degreed, EdCastOne alternative
DegreedTwo alternatives
Absorb LMS, DegreedTwo alternatives
Cornerstone OnDemand, LitmosGLM 4.7 FlashX360Learning, DoceboDoceboChangedDegreed, DoceboLearnUponagainst: Cornerstone OnDemand, Degreed, Docebono first choiceagainst: 360Learning, Cornerstone OnDemand, Degreed, Docebo, Fuel50, Skillsoft Percipio
Three alternatives
Absorb LMS, Adobe Learning Manager, Cornerstone OnDemandOne alternative
Cornerstone OnDemandFour alternatives
360Learning, Absorb LMS, Cornerstone OnDemand, iSpring LearnTwo alternatives
360Learning, Absorb LMSMiniMax M2.5Degreed, EdCastAbsorb LMS, DoceboChangedCornerstone OnDemandMy Learning HubDegreednothing named
One alternative
Absorb LMSTwo alternatives
Cornerstone OnDemand, SAP SuccessFactors LearningFive alternatives
Absorb LMS, Degreed, Docebo, SAP SuccessFactors Learning, TalentLMSTwo alternatives
Arythmatic, CompanyLMSThree alternatives
Emtrain, Sana Learn, ThriveGPT-6 LunaDoceboagainst: DegreedDegreedChangedDegreedagainst: LinkedIn Learning, Microsoft Viva Learning360Learningno first choiceagainst: Cornerstone OnDemand, Degreed, EdCast, Workday Learning
Two alternatives
360Learning, Thought IndustriesTwo alternatives
Cornerstone OnDemand, DoceboFive alternatives
360Learning, Cornerstone OnDemand, Docebo, SAP SuccessFactors Learning, Workday LearningTwo alternatives
Degreed, DoceboMuse Glimmer 30BDoceboDoceboHeldDegreed, ValamisTeachableagainst: Cornerstone OnDemand, Degreed, Docebo, Skillsoft Percipiono first choicenothing named
Five alternatives
Absorb LMS, Cornerstone OnDemand, LearnUpon, SAP SuccessFactors Learning, SkilljarTwo alternatives
Cornerstone OnDemand, DegreedThree alternatives
Absorb LMS, Cornerstone OnDemand, DoceboTwo alternatives
360Learning, SimpliTrainBold 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 08:29 | no | 0 | 4 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 12:05 | yes | 2 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:29 | yes | 16 | 22 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 07:49 | yes | 19 | 10 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:01 | yes | 21 | 8 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:59 | yes | 9 | 5 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:10 | yes | 20 | 30 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:06 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:09 | no | 0 | 31 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:17 | yes | 16 | 21 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:43 | yes | 22 | 34 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:44 | yes | 13 | 27 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:59 | yes | 4 | 17 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 12:05 | yes | 15 | 34 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:24 | yes | 17 | 10 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:48 | yes | 3 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:29 | yes | 11 | 26 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 11:17 | yes | 20 | 5 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:28 | yes | 21 | 7 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:03 | yes | 5 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:32 | yes | 21 | 28 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:29 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:02 | no | 0 | 32 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:28 | yes | 17 | 21 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:53 | yes | 13 | 36 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:39 | yes | 9 | 28 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:09 | yes | 3 | 20 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:21 | yes | 13 | 33 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:18 | yes | 9 | 10 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:48 | yes | 5 | 11 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:19 | yes | 20 | 30 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 10:07 | yes | 19 | 7 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:34 | yes | 21 | 8 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:44 | yes | 13 | 10 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:03 | yes | 20 | 61 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:06 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:18 | yes | 10 | 39 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 07:38 | yes | 16 | 31 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:52 | yes | 21 | 86 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:00 | yes | 15 | 28 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:06 | yes | 8 | 44 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:02 | yes | 22 | 43 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:38 | yes | 18 | 9 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:40 | yes | 3 | 7 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:56 | yes | 17 | 25 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 10:07 | yes | 18 | 4 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:55 | yes | 23 | 8 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:47 | yes | 5 | 4 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:40 | yes | 24 | 32 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:54 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:19 | yes | 8 | 67 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:52 | yes | 20 | 30 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:46 | yes | 22 | 224 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 12:05 | yes | 22 | 58 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:38 | yes | 3 | 19 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:29 | yes | 20 | 31 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:37 | yes | 18 | 11 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:51 | no | 0 | 6 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:36 | yes | 13 | 30 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 08:20 | yes | 19 | 6 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:23 | yes | 25 | 10 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:58 | no | 0 | 16 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:36 | yes | 21 | 52 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 07:59 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:35 | no | 0 | 28 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:38 | yes | 25 | 36 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:39 | yes | 24 | 137 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:13 | yes | 5 | 38 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:44 | yes | 5 | 23 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:21 | yes | 14 | 41 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:19 | yes | 16 | 11 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:22 | yes | 4 | 6 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:28 | yes | 22 | 37 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 11:54 | yes | 19 | 4 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:32 | yes | 24 | 12 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:09 | yes | 5 | 5 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:31 | yes | 21 | 57 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:36 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:05 | yes | 20 | 79 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 12:03 | yes | 25 | 38 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:43 | yes | 21 | 52 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:51 | yes | 9 | 20 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:28 | yes | 4 | 29 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:50 | yes | 24 | 23 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
Absorb read as Absorb LMS
Cornerstone read as Cornerstone OnDemand
Cornerstone (Cornerstone LXP) read as Cornerstone OnDemand
Cornerstone (Cornerstone OnDemand) read as Cornerstone OnDemand
Cornerstone (including EdCast) read as Cornerstone OnDemand
Cornerstone (with EdCast LXP integration) read as Cornerstone OnDemand
Cornerstone Galaxy (combining Cornerstone LMS + EdCast LXP) read as Cornerstone OnDemand
Coursera read as Coursera for Business
Moodle Workplace read as Moodle
SAP Litmos read as Litmos
SAP SuccessFactors read as SAP SuccessFactors Learning
Sana read as Sana Learn
Sana Labs read as Sana Learn
Skillsoft read as Skillsoft Percipio
Unresolved, counted raw
Arythmatic
Fuse
Learn365
My Learning Hub
Discontinued, still offered
No shut-down product was recommended here.