The clearest difference is provider choice. ChatGPT is OpenAI's storefront: you get their models, their rules, and their availability. Scholarly is a multi-provider workspace: the same chat can run on GPT 5.6 Luna, Claude Haiku 4.5, Gemini 3.8 Flash, Mistral Large 3, GLM 5.3 Flash, DeepSeek V4.1 Flash, or Muse Spark 1.3, and you can change models mid-conversation when one fits the job better. With seven labs in chat and nine across the creation tools, one provider's policy is never the end of the conversation.
The second difference is what happens after the chat. ChatGPT's output is a thread. Scholarly's output is an artifact: a narrated video lecture built from your onboarding manual, a three-speaker podcast from a research paper, a graded practice exam from lecture notes, or a cited report from a folder of sources. Everything stays grounded in the library you uploaded, with citations back to the page.
On price: ChatGPT Free now includes unlimited basic chat and ChatGPT Business is priced per seat (see OpenAI's pricing page for current rates), so if all you need is a general assistant, ChatGPT is a fine default. Scholarly Premium ($30/mo or $144/yr) and Premium Teams ($35/seat/mo) are for people whose work lives in documents: unlimited multi-provider chat plus weekly creation credits that turn those documents into training and study material.