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Learning management systems · September 2026 Edition

LearnUpon vs 360Learning

Two of twelve models named LearnUpon first on the direct prompt; one named 360Learning. LearnUpon was named by eleven of the twelve models and 360Learning by twelve and LearnUpon carries 27 labels and 360Learning 31, so the shares are not directly comparable.

LearnUpon

accepted challenger

Named in five categories this edition.

360Learning

accepted challenger

Named in eight categories this edition.

First-choice share18%5%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%6%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#4A position in a field of 11; printed, not drawn.
Labels2731A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, LearnUpon reading right to left. Rank and label count are printed, not drawn.TalentLMS was named alongside these two in ten of the twelve direct answers. TalentLMS vs LearnUpon · TalentLMS vs 360Learning · LearnUpon vs Absorb LMS

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 management systems page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
LearnUponFirst choices, of twelve models360Learning
Direct211 against 360Learning
Paraphrase61
Comparative00
Budget-constrained001 against 360Learning
Scale-constrained00
Negative00
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, LearnUpon and 360Learning were named in the same answer fifty-two times, of the 94 answers naming LearnUpon and the 266 naming 360Learning. In those answers 360Learning took the first choice three times and LearnUpon seven.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where LearnUpon and 360Learning 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
LearnUpon 360Learning first choice named as an alternative argued againstblank: not namedEach cell is one answer, LearnUpon on the left and 360Learning on the right.

The direct prompt

The plain question, one answer per model, grouped by where LearnUpon and 360Learning stood in it.

LearnUpon first, 360Learning not the choice

2 of 12 models360Learning was named in the answer but not as the choice, or not at all.
Mistral SmallLearnUpon alternatives: Absorb LMS, Docebo
Llama 4 MaverickAbsorb LMS, LearnUpon, TalentLMS

360Learning first, LearnUpon not the choice

1 of 12 modelsLearnUpon was named in the answer but not as the choice, or not at all.
MiniMax M2.5360Learning alternatives: ProProfs Training Maker, TalentLMS, WorkRamp

Neither was the first choice, one was named

8 of 12 modelsThe answer put something else first and named one of the two as an alternative.
GPT-5.4 miniAbsorb LMS alternatives: 360Learning, Cornerstone OnDemand, TalentLMS
Gemini 3.5 FlashAbsorb LMS alternatives: 360Learning, Docebo, LearnUpon, SAP Litmos
Perplexity SonarTalentLMS alternatives: 360Learning, Absorb LMS, WorkRamp
Grok 4.1 FastAbsorb LMS alternatives: 360Learning, TalentLMS
DeepSeek V4 FlashTalentLMS alternatives: Absorb LMS, LearnUpon
Qwen 3.7 FlashTalentLMS alternatives: 360Learning, Docebo, Seismic Learning, iSpring Learn
Kimi K2TalentLMS alternatives: 360Learning, Absorb LMS, LearnUpon
GLM 4.7 FlashXTalentLMS alternatives: 360Learning, Absorb LMS, Docebo, WorkRamp

Neither was named

1 of 12 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Absorb LMS, TalentLMS alternatives: SAP Litmos, WorkRamp

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
Level: the same share of first choices.
LearnUpon0%#10 of 14
360Learning0%#8 of 14
The full small business standing →
Mid-marketThe figures above
LearnUpon leads by fourteen points.
LearnUpon18%#2 of 11
360Learning5%#4 of 11
The full mid-market standing →
Enterprise
Level: the same share of first choices.
LearnUpon0%#7 of 11
360Learning0%#6 of 11
The full enterprise standing →

What the models said about LearnUpon

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

“If you need a flexible, multi-audience LMS with strong integrations and a focus on B2B training, LearnUpon is a top choice.” Mistral Small · direct prompt · first choice
“the best learning management system for a mid-sized B2B company would be LearnUpon, Bridge, or 360Learning” Llama 4 Maverick · paraphrase prompt · first choice
“The best LMS for employee training for a mid-market B2B company is LearnUpon, TalentLMS, or Absorb LMS.” Llama 4 Maverick · direct prompt · first choice

What the models said about 360Learning

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

“it's ~5x more expensive than TalentLMS and requires a more mature L&D culture to be effective” DeepSeek V4 Flash · direct prompt · soft negative
“but it may be less budget-friendly as your headcount grows” GPT-5.4 mini · budget prompt · soft negative
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.