Long context | Gemini API | Google AI for Developers The page gives a brief overview of a context window, and explores how developers should think about long context, various real world use cases for long context, and ways to optimize the usage of long context
Google Gemini AI context window size explained clearly A 1 million token context window means the model can process up to 1 million words or code units in one prompt, letting it handle entire books, long scripts, or large datasets without losing detail
Context Windows: the Memory That Powers AI Large Context Window (128K tokens ≈ 100 pages): Consider a legal team reviewing contracts An LLM with a small context window might analyze clauses in isolation, potentially missing critical connections
What is a Context Window, and why does it matter? | NewMR One key variable that differentiates one large-language model (LLM) from another is the size of its context window In this post, I explain what a context window is and why it matters
Understanding the Impact of Increasing LLM Context Windows This blog explores the implications of expanded context windows—from powering deeper document understanding and extended conversations to enabling cache-augmented generation (CAG) for faster, retrieval-free responses
Does a 10M Token Context Window Kill the Need for RAG? Not Even Close “With LLaMA 4 offering a 10 million token context window, we don’t need RAG anymore ” Let’s pump the brakes on that Yes, 10 million tokens is a massive leap It’s roughly equivalent to 40MB of raw text For reference, that’s about 80 full-length novels