LinkedIn Learning vs GoSkills
Six of fourteen models named LinkedIn Learning first on the direct prompt; zero named GoSkills. LinkedIn Learning was named by fourteen of the fourteen models and GoSkills by nine and LinkedIn Learning carries 62 labels and GoSkills 14, so the shares are not directly comparable.
Named in five categories this edition.
Named in five categories this edition.
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 online course libraries page.
By framing
LinkedIn LearningFirst choices, of fourteen modelsGoSkills
Across every category in the November 2026 Edition, LinkedIn Learning and GoSkills were named in the same answer fifty-one times, of the 267 answers naming LinkedIn Learning and the 170 naming GoSkills. In those answers GoSkills took the first choice seventeen times and LinkedIn Learning five.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | |||||
| GPT-5.4 mini | | | ||||
| Gemini 3.5 Flash | | | | | | |
| Perplexity Sonar | | | | | ||
| Grok 4.20 | | | | | ||
| 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 | | | | | |
LinkedIn Learning GoSkills first choice named as an alternative argued againstblank: not namedEach cell is one answer, LinkedIn Learning on the left and GoSkills on the right.The direct prompt
LinkedIn Learning first, GoSkills an alternative
6 of 14 modelsGoSkills was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
8 of 14 modelsThe answer put something else first and named one of the two as an alternative.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
LinkedIn Learning22%#2 of 9GoSkills18%#3 of 9LinkedIn Learning20%#2 of 13GoSkills10%#4 of 13LinkedIn Learning20%#2 of 10GoSkills0%#– of 10What the models said about LinkedIn Learning
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“LinkedIn Learning is also flagged in the same analysis for "high cost and opaque enterprise pricing, so it may be a poor fit if you need predictable budgeting."” Muse Glimmer 30B · negative prompt · soft negative
“often criticized for being "shallow"... users frequently report difficulties canceling free trials immediately, resulting in auto-renewal charges” Qwen 3.7 Flash · negative prompt · soft negative
“massive (but expensive) libraries like LinkedIn Learning (~$20–40/user/month, better for larger enterprises)” Grok 4.20 · budget prompt · soft negative
“the most common mid-market B2B default is Udemy Business for breadth/price or LinkedIn Learning for brand-recognized professional skills” Muse Glimmer 30B · direct prompt · first choice
“For most mid-market B2B companies, LinkedIn Learning offers the best balance of quality, price, and business-relevant content” MiniMax M2.5 · direct prompt · first choice
“Start with Udemy Business or LinkedIn Learning if you want a plug-and-play content library with low friction.” Kimi K2 · direct prompt · first choice
What the models said about GoSkills
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“For most companies with a limited budget, GoSkills offers the best balance of price, course quality, and built-in tracking” DeepSeek V4 Flash · budget prompt · first choice
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.