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Learning experience platforms · September 2026 Edition

Learn Amp vs Litmos

Eight of twelve models named Learn Amp first on the direct prompt; zero named Litmos. Learn Amp was named by ten of the twelve models and Litmos by eight and Learn Amp carries 24 labels and Litmos 10, so the shares are not directly comparable.

Learn Amp

accepted challenger

Named in two categories this edition.

Litmos

accepted challenger

Named in two categories this edition.

First-choice share28%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate4%20%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#7A position in a field of 11; printed, not drawn.
Labels2410A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Learn Amp reading right to left. Rank and label count are printed, not drawn.360Learning was named alongside these two in ten of the twelve direct answers. Learn Amp vs 360Learning · Learn Amp vs GoSkills · Learn Amp vs Docebo

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 twelve models made each the first choice, per way of asking, and how many argued against it.
Learn AmpFirst choices, of twelve modelsLitmos
Direct80
Paraphrase41
Comparative101 against Litmos
Budget-constrained00
Scale-constrained10
Negative001 against Learn Amp · 1 against Litmos
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Across every category in the September 2026 Edition, Learn Amp and Litmos were named in the same answer nine times, of the 32 answers naming Learn Amp and the 36 naming Litmos. In those answers Litmos took the first choice zero times and Learn Amp five.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where Learn Amp and Litmos 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
Learn Amp Litmos first choice named as an alternative argued againstblank: not namedEach cell is one answer, Learn Amp on the left and Litmos on the right.

The direct prompt

The plain question, one answer per model, grouped by where Learn Amp and Litmos stood in it.

Learn Amp first, Litmos an alternative

8 of 12 modelsLitmos was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Learn Amp alternatives: 360Learning, Absorb LMS, Continu, Docebo
Perplexity SonarLearn Amp alternatives: 360Learning, Absorb LMS, LearnUpon
Mistral SmallLearn Amp alternatives: 360Learning, ProProfs Training Maker
DeepSeek V4 FlashLearn Amp alternatives: 360Learning, Absorb LMS, Docebo
Llama 4 MaverickLearn Amp alternatives: TechClass, Thinkific
Kimi K2GoSkills, Learn Amp alternatives: 360Learning, Absorb LMS, Litmos
GLM 4.7 FlashXLearn Amp alternatives: 360Learning, Absorb LMS, Docebo
MiniMax M2.5Learn Amp alternatives: Absorb LMS, Docebo, GoSkills, Litmos

Neither was the first choice, one was named

1 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashDocebo alternatives: 360Learning, Learn Amp, Sana Learn

Neither was named

3 of 12 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniDocebo alternatives: 360Learning, Seismic Learning, Thought Industries
Grok 4.1 FastAbsorb LMS alternatives: 360Learning, Docebo, LearnUpon
Qwen 3.7 FlashAbsorb LMS alternatives: 360Learning, Docebo, LearnUpon

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
Litmos leads by two points.
Litmos2%#– of 8
Learn Amp0%#– of 8
The full small business standing →
Mid-marketThe figures above
The order flips: Learn Amp leads at mid-market.
Learn Amp28%#1 of 11
Litmos2%#7 of 11
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Learn Amp0%#– of 7
Litmos0%#– of 7
The full enterprise standing →

What the models said about Learn Amp

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

“Juno LXP / Learn Amp (verify scalability)” Kimi K2 · negative prompt · soft negative
“Best all-in-one mid-market learning platform. This is frequently recommended as the most balanced option for mid-market organizations.” Claude Haiku 4.5 · direct prompt · first choice
“1 | Learn Amp | Built specifically as an all‑in‑one mid‑market platform; strong on engagement, social learning, and analytics.” GLM 4.7 FlashX · direct prompt · first choice
“1. Learn Amp — *Best all-in-one for mid-market* ... Frequently ranked the top mid-market-specific platform” DeepSeek V4 Flash · direct prompt · first choice

What the models said about Litmos

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

“usually considered more LMS-oriented, but often part of LXP evaluations depending on the use case” GPT-5.4 mini · comparative prompt · soft negative
“Frequently described as "dated and clunky" with limited customization, weak reporting/analytics” Kimi K2 · negative prompt · soft negative
“Litmos and Docebo are often highlighted for their scalability, ease of integration, and comprehensive feature sets” Mistral Small · paraphrase 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.