Learning management systems for small business buyers
Asked as “LMS for employee training”, and as “learning management system”, on behalf of a small B2B company. 52 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
75%
Clear leader
75TalentLMS04LearnWorlds04Thinkific17others
75% of first choices, clear leader.
Since September 2026▼−1Since September 2026: 74% → 73%, −1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.TalentLMS held the lead, −1 point on 74%, 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
TalentLMS75%Clear leader▼−1Since September 2026: 74% → 73%, −1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.This pageMid-marketTalentLMS51%Clear leader▲+3Since September 2026: 48% → 51%, +3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →Enterprise
Docebo40%Contested▼−3Since September 2026: 44% → 42%, −3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →
TalentLMS75%Clear leader▼−1Since September 2026: 74% → 73%, −1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.This pageMid-marketTalentLMS51%Clear leader▲+3Since September 2026: 48% → 51%, +3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →EnterpriseDocebo40%Contested▼−3Since September 2026: 44% → 42%, −3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for a small B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01TalentLMS75%3%67endorsed leader▼−1Since September 2026: 74% → 73%, −1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.74% → 73%
TalentLMS75%3%67endorsed leader▼−1Since September 2026: 74% → 73%, −1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.74% → 73%02
Zoho Learn4%4%27accepted challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 4%
Zoho Learn4%4%27accepted challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 4%03
Trainual4%5%22accepted challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 4%
Trainual4%5%22accepted challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 4%04
LearnWorlds4%15%26accepted challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 4%
LearnWorlds4%15%26accepted challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 4%05
Thinkific4%15%13accepted challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 4%
Thinkific4%15%13accepted challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 4%06
iSpring Learn2%10%40accepted challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 2%
iSpring Learn2%10%40accepted challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 2%07
GoSkills2%0%12accepted challenger▼−9Since September 2026: 9% → 0%, −9 points. Inside the 13-point floor: within noise. Read over the models both editions asked.9% → 0%
GoSkills2%0%12accepted challenger▼−9Since September 2026: 9% → 0%, −9 points. Inside the 13-point floor: within noise. Read over the models both editions asked.9% → 0%08Docebo2%42%26criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%
Docebo2%42%26criticized 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 five products at 0%, ordered by negative rate
13
Moodle0%47%38criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
Moodle0%47%38criticized 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
Absorb LMS0%39%18criticized challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 0%
Absorb LMS0%39%18criticized 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
LearnUpon0%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%
LearnUpon0%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
360Learning0%13%15accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
360Learning0%13%15accepted 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
Connecteam0%8%13accepted challenger▼−4Since September 2026: 4% → 0%, −4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 0%
Connecteam0%8%13accepted challenger▼−4Since September 2026: 4% → 0%, −4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 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 ten head-to-head pages: the top five products, each against each
One product takes 75% of first choices here, so the chart would put twelve 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, Perplexity Sonar, Mistral Small, Llama 4 Maverick, GLM 4.7 FlashX 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.
Moodle47%
18 of 38 labels negative · 11 of 14 models · 5 hard negative
“Platforms to approach with caution: Moodle and Totara... Why small businesses should avoid them” Gemini 3.5 Flash, negative prompt
Docebo42%
11 of 26 labels negative · 9 of 14 models · 6 hard negative
“Docebo is typically scaled for companies training at least 250+ learners, with average SMB contracts landing around $30,000 to $48,000+ per year” Gemini 3.5 Flash, negative prompt
Cornerstone OnDemand78%
7 of 9 labels negative · 7 of 14 models · 6 hard negative
“Small businesses should be cautious with enterprise-grade Learning Management Systems (LMS) like Cornerstone OnDemand, Docebo, and Workday Learning, as they are typically overkill” Grok 4.1 Fast, negative prompt
Absorb LMS39%
7 of 18 labels negative · 6 of 14 models · 5 hard negative
“Platforms like: Absorb LMS, other high-end corporate systems ... Why to avoid: These often require dedicated learning administrators, have steep learning curves” GLM 4.7 FlashX, 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
77 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. 998 links across 203 sites, every framing counted. Ranked by the number of answers carrying the site or page. 1 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 · TalentLMS51 answers · 102 citations · 13 models
vendor site · GoSkills49 answers · 90 citations · 12 models
48 answers · 54 citations · 11 models
43 answers · 56 citations · 12 models
36 answers · 51 citations · 8 models
vendor site · LearnWorlds28 answers · 42 citations · 12 models
vendor site · ProProfs Training25 answers · 28 citations · 11 models
vendor site · D2L19 answers · 21 citations · 7 models
19 answers · 20 citations · 8 models
vendor site · Docebo16 answers · 21 citations · 9 models
vendor site · G215 answers · 19 citations · 8 models
15 answers · 15 citations · 10 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.
44 answers · 11 models
39 answers · 11 models
34 answers · 8 models
30 answers · 11 models
25 answers · 11 models
22 answers · 10 models
16 answers · 9 models
15 answers · 10 models
15 answers · 8 models
14 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 “best lms for employee training”, “learning management systems”, “lms for employee training”. 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 |
|---|---|---|---|---|---|---|---|---|
| TalentLMS talentlms.com | 75% | 348 | 8,100 | 103 | 82,431 | $1,179 | 119 | 1 |
| Zoho parent site Zoho Learn 4% | 4% | 44 | 1,300 | 52 | ||||
| Trainual trainual.com | 4% | 93 | 22,200 | 94 | 40,498 | 10 | ||
| LearnWorlds learnworlds.com | 4% | 83 | 5,400 | 67 | 27,442 | $51 | 69 | |
| Thinkific thinkific.com | 4% | 95 | 22,200 | 301 | 262,041 | 39 | ||
| iSpring Learn ispring.com | 2% | 112 | 390 | 12 | 53,048 | $46 | 37 | |
| GoSkills goskills.com | 2% | 141 | 1,900 | 23 | 120,277 | 120 | ||
| Skilljar skilljar.com | 2% | 16 | 3,600 | 67 | 233,929 | 23 | ||
| Google Classroom google.com | 2% | 26 | 11,100,000 | 10,105 | 1,800,358,416 | $465,944 | 5 | |
| Docebo docebo.com | 2% | 351 | 9,900 | 242 | 98,677 | 15 | 3 |
Google's top ten for the three searches hold 22 sites; 3 of them are among the sites the models cited here (d2l.com, docebo.com, talentlms.com). The first result for “best lms for employee training” is cypherlearning.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 LMS for employee training for a small B2B company?”Paraphrase“Which learning management system would you recommend to a small business that sells to other businesses?”Comparative“What are the top learning management systems for a small team and how do they differ?”Budget-constrained“What is the best LMS for employee training for a small company with a tight budget?”Scale-constrained“We are a 30 person company evaluating an LMS for employee training. What should we look at?”Negative“Which learning management systems should a small business avoid or be cautious about?”
Claude Haiku 4.5no first choiceagainst: Moodleno first choiceHeldGoSkillsGoogle Classroom, TalentLMSno first choiceagainst: Blackboard Learn, Moodle, TalentLMS, Tovuti LMS
Four alternatives
360Learning, Coassemble, Moodle, TalentLMSOne alternative
MoodleGPT-5.4 miniTrainualagainst: Connecteam, LearnWorldsThinkificChangedTalentLMSagainst: iSpring LearnTalentLMSagainst: Moodleno first choiceagainst: Docebo, LearnDash, LearnWorlds, Teachable, Thinkific, iSpring Learn
One alternative
RipplingOne alternative
TalentLMSSix alternatives
360Learning, Connecteam, LearnUpon, LearnWorlds, Trainual, Zoho LearnOne alternative
LearnWorldsGemini 3.5 FlashTalentLMSTalentLMSHeldTalentLMSTalentLMSagainst: MoodleTalentLMSagainst: Google Classroom, Notionagainst: Cornerstone OnDemand, Docebo, Moodle, Oracle Learning, Saba, Totara Learn, Workday Learning
Four alternatives
360Learning, LearnWorlds, Trainual, iSpring LearnThree alternatives
Firmwater LMS, LearnUpon, LearnWorldsFive alternatives
360Learning, FreshLearn, Thinkific, Trainual, iSpring LearnFour alternatives
360Learning, Google Classroom, ProProfs Training Maker, iSpring LearnFour alternatives
GoSkills, Trainual, Whale, iSpring LearnPerplexity SonarTalentLMSLearnWorldsChangedTalentLMSagainst: Google ClassroomTalentLMSno first choiceagainst: Canvas LMS, Cornerstone OnDemand, D2L Brightspace, Docebo, Moodle, Workday-related cloud LMS options
Five alternatives
Absorb LMS, Easy LMS, LearnWorlds, Zoho Learn, iSpring LearnTwo alternatives
ProProfs Training Maker, TalentLMSFour alternatives
LearnWorlds, Trainual, Zoho Learn, iSpring LearnThree alternatives
Easy LMS, GoSkills, MoodleGrok 4.1 FastTalentLMSTalentLMSHeldTalentLMSTalentLMSagainst: MoodleTalentLMSagainst: Cornerstone OnDemand, Docebo, Workday Learning
Four alternatives
GoSkills, Trainual, Zoho Learn, iSpring LearnFour alternatives
LearnWorlds, Teachable, Thinkific, iSpring LearnFour alternatives
Connecteam, GoSkills, Moodle, iSpring LearnThree alternatives
Connecteam, Zoho Learn, iSpring LearnFour alternatives
Easy LMS, Trainual, Zoho Learn, iSpring LearnMistral SmallDocebo, TalentLMSno first choiceChangedGoSkills, TalentLMSagainst: SAP LitmosTalentLMS, Zoho Learnno first choiceagainst: Absorb LMS, Canvas LMS, D2L Brightspace, Google Classroom, LearnWorlds, Moodle, Trainual
Two alternatives
LearnWorlds, ThinkificOne alternative
DoceboOne alternative
MoodleDeepSeek V4 FlashTalentLMSagainst: Absorb LMS, Docebo, LearnUpon, MoodleTalentLMSHeldagainst: LearnUponTalentLMSagainst: MoodleTalentLMSLearnWorlds, TalentLMS, iSpring Learnagainst: Absorb LMS, Cornerstone OnDemand, Docebo, Moodle, SAP Litmos, Teachable, Thinkific
Three alternatives
GoSkills, Trainual, iSpring LearnThree alternatives
LearnWorlds, ProProfs Training Maker, iSpring LearnFive alternatives
Easy LMS, LearnWorlds, Trainual, Zoho Learn, iSpring LearnFour alternatives
Coassemble, Moodle, Zoho Learn, iSpring LearnTwo alternatives
Easy LMS, Zoho LearnLlama 4 Maverickno first choiceTalentLMSChangedTalentLMSZoho Learnno first choicenothing named
Two alternatives
Moodle, ProProfs Training MakerFour alternatives
Absorb LMS, GoSkills, LearnWorlds, iSpring LearnTwo alternatives
Moodle, TalentLMSQwen 3.7 FlashTalentLMSTalentLMSHeldTalentLMSTalentLMSTalentLMS, Trainualagainst: Blackboard Learn, Canvas LMS, Chamilo, Cornerstone OnDemand, Docebo, Moodle, PowerSchool, SAP SuccessFactors Learning
Three alternatives
Docebo, LearnDash, Zoho LearnThree alternatives
LearnUpon, Teachable, ThinkificFour alternatives
Absorb LMS, Docebo, iSpring Learn, iSpring SuiteTwo alternatives
Moodle, Zoho LearnFour alternatives
Connecteam, Whale, Zoho Learn, iSpring LearnKimi K2TalentLMSagainst: DoceboTalentLMSHeldTalentLMSagainst: Canvas LMSTalentLMSagainst: 360LearningTalentLMSagainst: Absorb LMS, Blackboard Learn, Cornerstone OnDemand, Docebo, LearnDash, Moodle, SAP SuccessFactors Learning
Three alternatives
360Learning, Coassemble, iSpring LearnTwo alternatives
Northpass, ThinkificFour alternatives
Connecteam, Moodle, Thinkific, iSpring LearnThree alternatives
Connecteam, Moodle, iSpring LearnFour alternatives
LearnUpon, ProProfs Training Maker, Trainual, iSpring LearnGLM 4.7 FlashXTalentLMSSkilljarChangedTalentLMSagainst: 360LearningTalentLMSno first choiceagainst: Absorb LMS, Google Classroom, Moodle
Five alternatives
Connecteam, LearnWorlds, Trainual, Zoho Learn, iSpring LearnTwo alternatives
LearnUpon, TalentLMSSix alternatives
Coassemble, Easy LMS, LearnWorlds, Trainual, Zoho Learn, iSpring LearnThree alternatives
Connecteam, GoSkills, Zoho LearnMiniMax M2.5TalentLMSTalentLMSHeldTalentLMSTalentLMS, Thinkificagainst: KajabiTalentLMSagainst: Google Classroomagainst: Absorb LMS, Articulate 360, Google Classroom, Rippling, Zoho Learn
Four alternatives
Connecteam, LearnWorlds, Zoho Learn, iSpring LearnThree alternatives
SAP Litmos, Teachable, ThinkificFour alternatives
360Learning, Connecteam, Rippling Learn, TrainualTwo alternatives
Google Classroom, iSpring LearnOne alternative
Absorb LMSGPT-6 LunaTalentLMSTalentLMSHeldTalentLMSagainst: MoodleTalentLMSno first choiceagainst: Docebo, Moodle, TalentLMS
Two alternatives
360Learning, TrainualOne alternative
LearnWorldsThree alternatives
360Learning, Trainual, Zoho LearnTwo alternatives
Moodle, Zoho LearnMuse Glimmer 30BGoSkills, TalentLMSTalentLMSChangedTalentLMS, iSpring LearnTalentLMSno first choiceagainst: iSpring Learnagainst: Absorb LMS, Cornerstone OnDemand, Docebo, LearnWorlds, SAP SuccessFactors Learning, iSpring Learn
Four alternatives
LearnWorlds, Trainual, Zoho Learn, iSpring LearnTwo alternatives
Academy of Mine, LearnWorldsTwo alternatives
Docebo, LearnDashThree alternatives
Forma LMS, LearnWorlds, MoodleBold 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 08:40 | no | 0 | 5 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:08 | yes | 2 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:39 | yes | 18 | 24 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 07:36 | yes | 20 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:06 | yes | 19 | 11 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:24 | yes | 5 | 3 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:13 | yes | 16 | 13 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:06 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:28 | yes | 5 | 34 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:38 | yes | 13 | 20 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:54 | yes | 11 | 30 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:59 | yes | 10 | 20 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:24 | yes | 3 | 17 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:23 | yes | 12 | 22 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 12:07 | no | 0 | 5 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:31 | yes | 3 | 4 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:34 | yes | 12 | 20 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 09:55 | yes | 20 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:25 | yes | 25 | 7 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:24 | no | 0 | 1 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:18 | yes | 23 | 20 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:12 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:45 | yes | 5 | 48 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 07:56 | yes | 15 | 23 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:20 | yes | 14 | 53 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:50 | yes | 5 | 20 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:47 | yes | 2 | 16 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:27 | yes | 22 | 30 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:58 | yes | 18 | 12 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:58 | yes | 4 | 9 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:18 | yes | 9 | 22 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 09:20 | yes | 19 | 6 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:50 | yes | 22 | 8 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:29 | yes | 10 | 7 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:58 | yes | 22 | 33 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:22 | yes | 6 | 3 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:36 | yes | 10 | 27 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:28 | yes | 23 | 34 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:49 | yes | 16 | 34 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:52 | yes | 14 | 29 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:59 | yes | 5 | 21 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:35 | yes | 12 | 38 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:12 | no | 0 | 5 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:41 | yes | 2 | 3 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:48 | yes | 16 | 23 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 09:14 | yes | 20 | 3 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:13 | yes | 13 | 6 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:37 | yes | 5 | 4 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:50 | yes | 16 | 28 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:36 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:46 | yes | 10 | 36 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:58 | yes | 14 | 28 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:52 | yes | 18 | 89 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:41 | yes | 5 | 11 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:17 | yes | 3 | 13 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:54 | yes | 14 | 20 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:15 | no | 0 | 5 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:49 | no | 0 | 6 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:05 | yes | 13 | 22 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 08:57 | yes | 19 | 4 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:08 | yes | 15 | 9 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:13 | no | 0 | 5 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:43 | yes | 25 | 47 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:52 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:56 | yes | 7 | 23 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:14 | yes | 20 | 22 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:59 | yes | 14 | 30 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:39 | yes | 5 | 15 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:58 | yes | 3 | 30 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:30 | yes | 15 | 21 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:58 | yes | 18 | 9 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:35 | yes | 5 | 6 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 12:19 | yes | 24 | 56 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 10:33 | yes | 19 | 3 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:31 | yes | 24 | 7 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:08 | yes | 13 | 17 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:45 | yes | 24 | 34 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:36 | yes | 5 | 1 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:29 | yes | 19 | 58 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:52 | yes | 25 | 30 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:07 | yes | 20 | 142 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:55 | yes | 15 | 31 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:47 | yes | 4 | 30 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:35 | yes | 21 | 35 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
Canvas read as Canvas LMS
Canvas by Instructure read as Canvas LMS
Cornerstone read as Cornerstone OnDemand
Lessonly read as Seismic Learning
Litmos read as SAP Litmos
Moodle Workplace read as Moodle
SAP SuccessFactors (Litmos) read as SAP SuccessFactors Learning
Totara read as Totara Learn
Tovuti read as Tovuti LMS
iSpring LMS read as iSpring Learn
Unresolved, counted raw
Firmwater LMS
Mini Course Generator
Northpass (Gainsight CE)
Rippling Learn
Workday-related cloud LMS options
Discontinued, still offered
No shut-down product was recommended here.