Long Context

In depth

The ability of a model to accept and reason over very large inputs in a single request, now commonly hundreds of thousands to 1 million or more tokens. It lets you pass whole codebases, long documents, or hours of transcripts directly instead of chunking them through retrieval. Google's Gemini docs note that accuracy drops when a task needs many facts rather than one, that putting the query at the end of a long prompt helps, and that context caching is the main lever for keeping repeated long prompts affordable.

Primary source: ai.google.dev