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Gemini Long Context (1M+ Tokens): Use Cases and Limitations (ANSWERED)

Project BasedGeminiMedium14 min read

TL;DR — Quick Answer

Whole-repo analysis, long video/audio, massive contract review in one shot — but needle recall degrades, cost scales with tokens, latency increases; validate with evals vs RAG chunking.

The Interview Question

Describe production use cases for Gemini 1.5's million-token context and where it still fails.

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Gemini's multimodal capabilities (ANSWERED)

Google's Gemini 1.5 Pro long-context window opens use cases impossible with standard LLMs — whole-codebase analysis, multi-hour video, massive document review. Interviewers test whether you understand real limitations behind the 1M token marketing number.

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