{"version":"1.0","type":"card","id":"b679a0b5-dd0b-4164-81ce-883b07175ebe","url":"https://stacklist.com/card/b679a0b5-dd0b-4164-81ce-883b07175ebe","title":"What Is a Context Window in LLMs — LLM Guides","source_url":"https://llmguides.ai/learn/context-window-explained/","note":"A clean, accessible explainer that walks through tokens, attention mechanisms, and why window size directly impacts what an LLM can reason about. Good for sharing with non-technical teammates who need to understand context limits.","image":{"url":"https://ucarecdn.com/c2830f4f-85e8-4aa6-877e-816f50517b6f/","alt":"What Is a Context Window in LLMs — LLM Guides","width":335,"height":348},"stack":{"id":"e16dcdcb-06b9-481c-aef9-40b6d73a5c8e","title":"Master AI & LLM Context: From Basics to Production","url":"https://stacklist.com/c/technology/stack/e16dcdcb-06b9-481c-aef9-40b6d73a5c8e"},"created_at":"2026-07-02T10:09:00.222Z","updated_at":null,"aco":{"summary":"Context windows in LLMs define the maximum amount of text, measured in tokens, that a model can process in a single conversation turn, including both input and output. The article explains how context windows work, why they exist due to self-attention computational costs, and how they have grown from 4,096 tokens in 2020 to up to 1 million tokens in 2026.","tags":["context-window","llm","tokens","large-language-models","self-attention","ai-fundamentals","prompt-engineering"],"key_entities":[{"name":"Context Window","type":"concept","confidence":0.99},{"name":"Self-Attention","type":"concept","confidence":0.9},{"name":"Tokens","type":"concept","confidence":0.92},{"name":"GPT-3","type":"technology","confidence":0.95},{"name":"GPT-4 Turbo","type":"technology","confidence":0.9},{"name":"Claude Opus 4.6","type":"technology","confidence":0.88},{"name":"Stojan","type":"person","confidence":0.75},{"name":"Large Language Models","type":"concept","confidence":0.97},{"name":"Sparse Attention","type":"concept","confidence":0.8},{"name":"OpenAI","type":"organization","confidence":0.7}],"classification":"reference","language":"en","confidence":0.85,"provenance":{"model":"claude-opus-4-6","tool":"@stacklist/mcp-server@2.0.0","confidence":0.85,"timestamp":"2026-07-02T10:09:09.127Z"},"token_counts":{"approximate":3920,"cl100k":3247},"content_hash":"sha256:6942f864e626e9f63660c20116cbe569cfc151cfca1491cd96ac7b5c956270bf","acp_version":"0.2","body_available":true,"body_tokens":3920,"visibility":"public","agent_accessible":true,"status":"final"},"_links":{"self":"/api/public/card/b679a0b5-dd0b-4164-81ce-883b07175ebe.json","html":"https://stacklist.com/card/b679a0b5-dd0b-4164-81ce-883b07175ebe","md":"/api/public/card/b679a0b5-dd0b-4164-81ce-883b07175ebe.md","stack_json":"/api/public/stack/e16dcdcb-06b9-481c-aef9-40b6d73a5c8e.json"}}