It's also excellent for subjective NLP-type analysis. For example, I use it for "scouting" chapters in my translation pipeline to compile coherent glossaries that I can feed into prompts for per-chapter translation.

This involves having it identify all potential keywords and distinct entities, determine their approximate gender (important for languages with ambiguous gender pronouns), and then perform a line-by-line analysis of each chapter. For each line, it identifies the speaking entity, determines whose POV the line represents, and identifies the subject entity. While I didn't need or expect perfection, Gemini Flash 2.5 was the only model I tested that could not only follow all these instructions, but follow them well. The cheap price was a bonus.

I was thoroughly impressed, it's now my go-to for any JSON-formatted analysis reports.