I’m looking at DeepSeek for tasks that involve comparing several long documents, not just summarizing one file. The advertised context limit sounds generous, but I’m wondering how performance holds up when a prompt includes multiple reports and asks for specific differences or contradictions.

Does the model keep details from the beginning of a long input as reliably as details near the end? I’d be interested in real examples of long document comparison, including whether splitting the material into smaller sections gives more dependable results.