Customer education and LMS
Asked as “customer education platform”, and as “customer training LMS”, on behalf of a mid-market B2B company. 53 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
26LearnUpon26Skilljar23TalentLMS25others
26% of first choices, contested.
Since September 2026↗new leaderNew leader since September 2026: LearnUpon (28%) replaces TalentLMS (33% then, 24% now), 4 points clear, inside the 11-point floor.LearnUpon leads at 28%, replacing TalentLMS, which led at 33% and stands at 24% now: 4 points clear, inside the floor, so the swap reads as unsettled.
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
TalentLMS49%Clear leader▼−3Since September 2026: 49% → 46%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →Mid-market
LearnUpon26%Contested↗new leaderNew leader since September 2026: LearnUpon (28%) replaces TalentLMS (33% then, 24% now), 4 points clear, inside the 11-point floor.This pageEnterprise
Skilljar31%Contested▼−4Since September 2026: 33% → 29%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →
TalentLMS49%Clear leader▼−3Since September 2026: 49% → 46%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →Mid-marketLearnUpon26%Contested↗new leaderNew leader since September 2026: LearnUpon (28%) replaces TalentLMS (33% then, 24% now), 4 points clear, inside the 11-point floor.This pageEnterpriseSkilljar31%Contested▼−4Since September 2026: 33% → 29%, −4 points. Inside the 11-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 mid-market B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01LearnUpon26%8%37accepted challenger▲+7Since September 2026: 21% → 28%, +7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.21% → 28%
LearnUpon26%8%37accepted challenger▲+7Since September 2026: 21% → 28%, +7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.21% → 28%02Skilljar26%31%49criticized challenger▲+5Since September 2026: 17% → 22%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.17% → 22%
Skilljar26%31%49criticized challenger▲+5Since September 2026: 17% → 22%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.17% → 22%03TalentLMS23%11%45accepted challenger▼−9Since September 2026: 33% → 24%, −9 points. Inside the 11-point floor: within noise. Read over the models both editions asked.33% → 24%
TalentLMS23%11%45accepted challenger▼−9Since September 2026: 33% → 24%, −9 points. Inside the 11-point floor: within noise. Read over the models both editions asked.33% → 24%04
LearnWorlds6%10%20accepted challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 4%
LearnWorlds6%10%20accepted challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 4%05
Thinkific6%27%22criticized challenger▲+4Since September 2026: 2% → 7%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 7%
Thinkific6%27%22criticized challenger▲+4Since September 2026: 2% → 7%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 7%06
WorkRamp2%5%21accepted challenger▼−5Since September 2026: 7% → 2%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.7% → 2%
WorkRamp2%5%21accepted challenger▼−5Since September 2026: 7% → 2%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.7% → 2%07
Gainsight Customer Education2%5%22accepted challenger▼−3Since September 2026: 5% → 2%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.5% → 2%
Gainsight Customer Education2%5%22accepted challenger▼−3Since September 2026: 5% → 2%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.5% → 2%08
Absorb LMS2%33%24criticized challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 2%
Absorb LMS2%33%24criticized challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 2%09
Docebo2%35%46criticized challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 2%
Docebo2%35%46criticized challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 2%10
Teachable2%35%17criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%
Teachable2%35%17criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%Show the one product at 0%, ordered by negative rate
11
Thought Industries0%24%25accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%
Thought Industries0%24%25accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%The floor is 11 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
LearnUpon vs ThinkificLearnUpon vs WorkRampLearnUpon vs Gainsight Customer EducationLearnUpon vs Absorb LMSSkilljar vs TalentLMSSkilljar vs LearnWorldsSkilljar vs ThinkificSkilljar vs WorkRampSkilljar vs Gainsight Customer EducationSkilljar vs Absorb LMSTalentLMS vs LearnWorldsTalentLMS vs ThinkificTalentLMS vs WorkRampTalentLMS vs Gainsight Customer EducationTalentLMS vs Absorb LMSLearnWorlds vs ThinkificLearnWorlds vs WorkRampLearnWorlds vs Gainsight Customer EducationLearnWorlds vs Absorb LMSThinkific vs WorkRampThinkific vs Gainsight Customer EducationThinkific vs Absorb LMSWorkRamp vs Gainsight Customer EducationWorkRamp vs Absorb LMSGainsight Customer Education vs Absorb LMS
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 →
0102030405060708091011Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01LearnUpon26%
LearnUpon26%02Skilljar26%
Skilljar26%03TalentLMS23%
TalentLMS23%04LearnWorlds6%
LearnWorlds6%05Thinkific6%
Thinkific6%06WorkRamp2%
WorkRamp2%07Gainsight Customer Education2%
Gainsight Customer Education2%08Absorb LMS2%
Absorb LMS2%09Docebo2%
Docebo2%10Teachable2%
Teachable2%11Thought Industries0%
Thought Industries0%What they warned about
Eight of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, Grok 4.1 Fast, Mistral Small, Qwen 3.7 Flash, MiniMax M2.5 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.
Docebo35%
16 of 46 labels negative · 11 of 14 models · 3 hard negative
“**Docebo** — Highest Caution for SMBs ... "overkill that will eat your budget alive"” Kimi K2, negative prompt
Skilljar31%
15 of 49 labels negative · 11 of 14 models · 3 hard negative
“**78% negative recommendation rate** for small businesses ... "more platform than a small business needs"” Kimi K2, negative prompt
Thought Industries24%
6 of 25 labels negative · 5 of 14 models · 2 hard negative
“**79% negative recommendation rate** for small businesses ... limiting reporting capabilities given the price point” Kimi K2, negative prompt
Teachable35%
6 of 17 labels negative · 5 of 14 models · 1 hard negative
“Designed for course creators, not for internal/external customer training at scale” GLM 4.7 FlashX, 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
74 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. 976 links across 187 sites, every framing counted. Ranked by the number of answers carrying the site or page. 22 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 · LearnWorlds36 answers · 62 citations · 11 models
31 answers · 31 citations · 11 models
vendor site · Mini Course Generator30 answers · 30 citations · 11 models
vendor site · Thinkific29 answers · 47 citations · 11 models
vendor site · Continu28 answers · 30 citations · 11 models
vendor site · Teachfloor28 answers · 30 citations · 11 models
vendor site · Guideflow26 answers · 28 citations · 12 models
23 answers · 42 citations · 11 models
vendor site · Teachable22 answers · 33 citations · 11 models
21 answers · 23 citations · 8 models
vendor site · EasyWebinar21 answers · 21 citations · 10 models
vendor site · Docebo20 answers · 30 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.
31 answers · 11 models
30 answers · 11 models
25 answers · 12 models
24 answers · 10 models
23 answers · 10 models
22 answers · 11 models
21 answers · 10 models
19 answers · 9 models
16 answers · 8 models
15 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 customer education platform”, “customer education platform”. 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 |
|---|---|---|---|---|---|---|---|---|
| LearnUpon learnupon.com | 26% | 77 | 5,400 | 55 | 81,523 | 40 | ||
| Skilljar skilljar.com | 26% | 159 | 3,600 | 67 | 233,929 | 23 | ||
| TalentLMS talentlms.com | 23% | 133 | 8,100 | 103 | 82,431 | $1,179 | 119 | |
| LearnWorlds learnworlds.com | 6% | 80 | 5,400 | 67 | 27,442 | $51 | 69 | 4 |
| Thinkific thinkific.com | 6% | 65 | 22,200 | 301 | 262,041 | 39 | ||
| WorkRamp workramp.com | 2% | 68 | 3,600 | 34 | 8,841 | 0 | ||
| Gainsight CE gainsight.com Gainsight Customer Education 2%, Gainsight CE 0% | 2% | 68 | 10 | 0 | 59,569 | 58 | 9 | |
| Absorb LMS absorbai.com | 2% | 54 | 2,900 | 34 | 16,283 | $8 | 120 | |
| Docebo docebo.com | 2% | 136 | 9,900 | 242 | 98,677 | 15 | 5 | |
| Notion notion.com | 2% | 209 | 673,000 | 15,608 | 1,061,466 | 52 |
Google's top ten for the two searches hold 13 sites; 4 of them are among the sites the models cited here (docebo.com, g2.com, learnworlds.com, teachable.com). The first result for “best customer education platform” is intellum.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 customer education platform for a mid-market B2B company?”Paraphrase“Which customer training LMS would you recommend to a mid-sized B2B company?”Comparative“What are the top customer education platforms and how do they differ?”Budget-constrained“What is the best customer education platform for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a customer education platform. What should we look at?”Negative“Which customer education platforms should I avoid or be cautious about?”
Claude Haiku 4.5Skilljarno first choiceChangedSkilljarNotion, YouTubeno first choiceagainst: 360Learning, Absorb LMS, LearnUpon, Skilljar, TalentLMS
Three alternatives
LearnUpon, Thought Industries, WorkRampFour alternatives
Docebo, Gainsight Customer Education, Thought Industries, WorkRampFour alternatives
Kajabi, Moodle, TalentLMS, TeachableGPT-5.4 miniLearnUponLearnUponHeldno first choiceTalentLMSagainst: Absorb LMS, Docebono first choiceagainst: ReadyTech, Skilljar, Teachable
One alternative
Thought IndustriesTwo alternatives
Skilljar, TalentLMSOne alternative
ThinkificGemini 3.5 FlashSkilljaragainst: TalentLMS, ThinkificSkilljarHeldSkilljarThinkificagainst: Docebo, Intellum, SkilljarSkilljaragainst: Doceboagainst: Blackboard, Canvas, Cornerstone, Kajabi, Moodle, Saba, Teachable, Thinkific, Workday Learning
Four alternatives
Absorb LMS, Gainsight Customer Education, LearnUpon, WorkRampThree alternatives
LearnUpon, TalentLMS, WorkRampSix alternatives
Docebo, Intellum, LearnUpon, TalentLMS, Thought Industries, WorkRampThree alternatives
FreshLearn, LearnDash via WordPress, TalentLMSThree alternatives
Gainsight Customer Education, Thought Industries, WorkRampPerplexity SonarLearnUponagainst: Docebo, TalentLMSLearnUponHeldIntellum, SkilljarTalentLMSno first choiceagainst: Absorb LMS, LearnWorlds, Teachable-style generic course platforms, WorkRamp
Two alternatives
Gainsight Customer Education, WorkRampThree alternatives
Absorb LMS, Continu, TalentLMSNine alternatives
Continu, Docebo, Gainsight Customer Education, LearnUpon, LearnWorlds, Litmos, TalentLMS, Thought Industries, TrainnOne alternative
LearnWorldsGrok 4.1 FastGainsight Customer Education, LearnUponTalentLMSChangedno first choiceTalentLMSagainst: Teachable, ThinkificDocebo, Skilljar, TalentLMSagainst: Docebo, EasyWebinar, LearnWorlds, Skilljar, Thought Industries
Three alternatives
Skilljar, TalentLMS, WorkRampFour alternatives
360Learning, Absorb LMS, Skilljar, ThinkificThree alternatives
LearnWorlds, Moodle, NotionTwo alternatives
Thought Industries, WorkRampMistral SmallLearnUponSkilljar, WorkRampChangedagainst: Thinkificno first choiceLearnWorlds, TalentLMSno first choicenothing named
Three alternatives
Absorb LMS, Gainsight Customer Education, TalentLMSTwo alternatives
Gainsight Customer Education, IntellumTwo alternatives
Guideflow, TeachfloorDeepSeek V4 FlashLearnUponagainst: Absorb LMS, TalentLMSLearnUponHeldagainst: Absorb LMS, SkilljarSkilljaragainst: 360Learning, Absorb LMSTalentLMSagainst: Docebo, LearnUpon, Skilljar, Thought IndustriesSkilljaragainst: CloudShare, Gainsight Customer Education, Skilljar
Three alternatives
Gainsight Customer Education, Skilljar, Thought IndustriesTwo alternatives
TalentLMS, WorkRampSix alternatives
Docebo, Gainsight Customer Education, LearnWorlds, TalentLMS, Thought Industries, WorkRampThree alternatives
LearnWorlds, Thinkific, TrainnFive alternatives
Absorb LMS, Docebo, LearnUpon, Thought Industries, WorkRampLlama 4 Maverickno first choiceno first choiceHeldno first choiceTalentLMSno first choicenothing named
Two alternatives
Disco, TeachfloorQwen 3.7 FlashLearnUponAbsorb LMS, LearnUponChangedGainsight Customer Education, LearnUponTalentLMSagainst: Absorb LMS, Discono first choiceagainst: 360Learning, Absorb LMS, Docebo, Skilljar
Four alternatives
Absorb LMS, Disco, Docebo, TalentLMSTwo alternatives
LearnWorlds, TalentLMSFour alternatives
Appcues, Docebo, TalentLMS, WorkRampTwo alternatives
Guideflow, LearnWorldsKimi K2SkilljarSkilljarHeldagainst: DoceboGainsight Customer Education, SkilljarLearnWorlds, TalentLMSagainst: Moodleno first choiceagainst: Docebo, Skilljar, TalentLMS, Thought Industries
Two alternatives
LearnUpon, WorkRampTwo alternatives
LearnUpon, TalentLMSFive alternatives
AcademyOcean, Docebo, Intellum, Thinkific, WorkRampTwo alternatives
Teachable, ThinkificGLM 4.7 FlashXLearnUponagainst: DoceboLearnUponHeldLearnWorldsTalentLMSagainst: Docebo, LearnUpon, Skilljar, Teachableno first choiceagainst: Careertrainer.ai, Cornerstone, Docebo, Litmos, Moodle, Paradiso, SAP SuccessFactors
Two alternatives
Skilljar, TalentLMSTwo alternatives
Docebo, TalentLMSFive alternatives
360Learning, Kajabi, Teachable, Thinkific, Udemy for BusinessFour alternatives
Moodle, Trainual, UserGuiding, iSpring LearnMiniMax M2.5LearnUponSkilljar, ThinkificChangedno first choiceTeachable, Thinkificagainst: Kajabino first choiceagainst: 360Learning, Docebo, Skilljar
Three alternatives
Docebo, Gainsight Customer Education, TalentLMSFour alternatives
Continu, D2L, Guideflow, TeachableSix alternatives
Disco, Docebo, Gainsight CE, LearnUpon, LearnWorlds, SkilljarFour alternatives
Academy LMS, LearnWorlds, Podia, TrainerizeGPT-6 LunaSkilljarSkilljarHeldSkilljar, Thought IndustriesLearnWorldsagainst: Skilljarno first choiceagainst: Docebo, Skilljar, Thought Industries
Three alternatives
Docebo, LearnUpon, Thought IndustriesThree alternatives
Docebo, LearnUpon, Thought IndustriesFive alternatives
Absorb LMS, Docebo, Intellum, LearnUpon, WorkRampOne alternative
TalentLMSMuse Glimmer 30BLearnUpon, SkilljarSkilljarChangedno first choiceTalentLMSagainst: Docebo, Skilljar, Teachable, Thinkific, Thought Industriesno first choiceagainst: Coursera, Docebo, EasyWebinar, Kajabi, Skilljar, Skillshare, Teachable, Thinkific, Thought Industries, Udemy, edX
Three alternatives
Absorb LMS, TalentLMS, WorkRampThree alternatives
Absorb LMS, Intellum, LearnUponTwo alternatives
Guideflow, LearnWorldsBold 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 12:44 | yes | 9 | 6 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:46 | yes | 3 | 6 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:00 | yes | 13 | 23 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 12:21 | yes | 20 | 4 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:09 | yes | 21 | 7 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:02 | yes | 10 | 5 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:02 | yes | 21 | 25 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:18 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:59 | yes | 5 | 21 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 07:59 | yes | 20 | 26 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 12:08 | yes | 19 | 105 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:13 | yes | 8 | 17 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:12 | yes | 4 | 13 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:03 | yes | 13 | 23 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:12 | no | 0 | 4 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:50 | yes | 4 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:24 | yes | 17 | 24 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 11:48 | yes | 19 | 2 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:37 | yes | 21 | 6 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:08 | yes | 5 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 13:13 | yes | 21 | 24 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:23 | yes | 5 | 1 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:50 | yes | 5 | 17 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:51 | yes | 10 | 29 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:37 | yes | 23 | 28 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:15 | yes | 5 | 12 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:26 | yes | 5 | 14 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:15 | yes | 15 | 12 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:28 | yes | 9 | 7 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 12:22 | yes | 9 | 8 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:47 | yes | 23 | 36 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 12:18 | yes | 18 | 5 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:23 | yes | 22 | 8 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:49 | yes | 8 | 7 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 12:49 | yes | 23 | 40 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 12:53 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:12 | yes | 14 | 25 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 12:03 | yes | 14 | 30 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 12:06 | no | 0 | 58 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 14:00 | yes | 19 | 30 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:07 | yes | 8 | 25 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:43 | yes | 15 | 50 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:54 | no | 0 | 5 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 12:21 | no | 0 | 3 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 14:15 | yes | 17 | 19 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 07:55 | yes | 19 | 3 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:07 | yes | 19 | 6 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:56 | yes | 5 | 4 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 12:33 | yes | 24 | 29 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:09 | yes | 5 | 1 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:49 | yes | 8 | 30 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:30 | yes | 15 | 21 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:17 | yes | 15 | 46 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:55 | no | 0 | 8 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:44 | yes | 3 | 23 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:33 | yes | 13 | 15 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 07:59 | no | 0 | 6 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:32 | no | 0 | 9 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:25 | yes | 9 | 24 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 13:05 | yes | 20 | 4 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:27 | yes | 18 | 12 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:20 | no | 0 | 6 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:03 | yes | 16 | 56 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 07:42 | yes | 5 | 1 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 07:58 | no | 0 | 30 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:46 | yes | 13 | 32 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:13 | yes | 14 | 25 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:53 | no | 0 | 9 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 13:37 | yes | 2 | 22 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:22 | yes | 15 | 24 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:56 | yes | 18 | 9 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:08 | yes | 6 | 10 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 14:07 | yes | 14 | 25 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 07:59 | yes | 19 | 5 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:29 | yes | 23 | 6 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:54 | yes | 5 | 4 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 12:13 | yes | 24 | 35 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 13:09 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:54 | yes | 10 | 26 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 13:45 | yes | 22 | 22 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:21 | yes | 23 | 107 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:33 | yes | 11 | 20 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:08 | yes | 3 | 15 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 12:20 | yes | 25 | 28 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
Unresolved, counted raw
Academy LMS
Big Ideas DB
Blackboard
Careertrainer.ai
ClassPoint
LearnDash via WordPress
Learndown
Paradiso
ReadyTech
Salesforce Learning Cloud
Skillshare
Teachable-style generic course platforms
Trainerize
WorkRamp Customer
edX
Discontinued, still offered
No shut-down product was recommended here.