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Index › Learning and development › Learning experience plat › TalentLMS vs Degreed
Learning experience platforms · October 2026 Edition

TalentLMS vs Degreed

One of fourteen models named TalentLMS first on the direct prompt; zero named Degreed. TalentLMS was named by thirteen of the fourteen models and Degreed by fourteen and TalentLMS carries 25 labels and Degreed 29, so the shares are not directly comparable.

TalentLMS

accepted challenger

Named in seven categories this edition.

Degreed

criticized challenger

Named in four categories this edition.

First-choice share14%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%45%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#7A position in a field of 10; printed, not drawn.
Labels2529A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, TalentLMS reading right to left. Rank and label count are printed, not drawn.Absorb LMS was named alongside these two in eleven of the fourteen direct answers. 360Learning vs TalentLMS · 360Learning vs Degreed · GoSkills vs TalentLMS

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; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the learning experience platforms page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
TalentLMSFirst choices, of fourteen modelsDegreed
Direct10
Paraphrase012 against Degreed
Comparative05
Budget-constrained602 against Degreed
Scale-constrained002 against Degreed
Negative007 against Degreed
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where TalentLMS and Degreed stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B
TalentLMS Degreed first choice named as an alternative argued againstblank: not namedEach cell is one answer, TalentLMS on the left and Degreed on the right.

The direct prompt

The plain question, one answer per model, grouped by where TalentLMS and Degreed stood in it.

TalentLMS first, Degreed not the choice

1 of 14 modelsDegreed was named in the answer but not as the choice, or not at all.
Mistral SmallSAP SuccessFactors HCM, TalentLMS alternatives: LearnWorlds, Thinkific

Neither was the first choice, one was named

6 of 14 modelsThe answer put something else first and named one of the two as an alternative.
GPT-5.4 mini360Learning alternatives: Absorb LMS, CYPHER Learning, Degreed, Docebo, TalentLMS
Perplexity Sonar360Learning alternatives: Absorb LMS, Docebo, TalentLMS
DeepSeek V4 Flash360Learning alternatives: Absorb LMS, LearnUpon, TalentLMS
Llama 4 MaverickSAP SuccessFactors HCM alternatives: Kajabi, LearnDash, LearnWorlds, TalentLMS, Teachable, Thinkific
GLM 4.7 FlashXAbsorb LMS alternatives: 360Learning, Adobe Learning Manager, Docebo, Go1, TalentLMS
MiniMax M2.5Absorb LMS alternatives: Continu, GoSkills, Learn Amp, TalentLMS

Neither was named

7 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Learn Amp alternatives: 360Learning, Absorb LMS, Docebo
Gemini 3.5 FlashLearnUpon alternatives: 360Learning, Absorb LMS, Continu, Docebo
Grok 4.1 FastAbsorb LMS alternatives: 360Learning, Docebo
Qwen 3.7 FlashAbsorb LMS alternatives: Docebo, iSpring Learn
Kimi K2360Learning, LearnUpon alternatives: Absorb LMS, Docebo, Litmos
GPT-6 Luna360Learning alternatives: Docebo, LearnUpon
Muse Glimmer 30BAbsorb LMS alternatives: Continu, Learn Amp

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
TalentLMS leads by twenty-two points.
TalentLMS22%#2 of 11
Degreed0%#9 of 11
The full small business standing →
Mid-marketThe figures above
TalentLMS leads by twelve points.
TalentLMS14%#3 of 10
Degreed2%#7 of 10
The full mid-market standing →
Enterprise
The order flips: Degreed leads at enterprise.
Degreed16%#2 of 7
TalentLMS0%#– of 7
The full enterprise standing →

What the models said about TalentLMS

No label in this category carried a quote.

What the models said about Degreed

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.

“Repeatedly flagged across multiple analyses and AI-model recommendations as a platform to avoid for small businesses” DeepSeek V4 Flash · negative prompt · hard negative
“Avoid: Pure enterprise LXPs (Degreed, Cornerstone) unless you have complex multi-country requirements” Kimi K2 · scale prompt · hard negative
“multiple sources explicitly recommend avoiding, especially if you need LMS functionality” Kimi K2 · negative prompt · hard negative
“Degreed is considered the "reference implementation" of the LXP category with the strongest skills-mapping capabilities.” Kimi K2 · comparative prompt · first choice
“Degreed is the most skills-centric LXP on the market, mapping all learning content to a skills architecture.” DeepSeek V4 Flash · comparative prompt · first choice
“If your primary goal is talent mapping and tracking skills, choose Degreed.” Gemini 3.5 Flash · comparative prompt · first choice
Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.