What Is a Context Window in AI? Token Limits Explained
A context window is the maximum amount of text an AI model can process in a single request, measured in tokens. Tokens are roughly equivalent to words (1 token ≈ 0.75 words). Larger context windows allow processing longer documents.
Explanation
Every AI model has a context window limit. When you send text to an AI model, both your input and the model's output must fit within this window.
Context window sizes vary by model: GPT-5.2 supports 128K tokens (~96,000 words), Claude supports up to 1M tokens in beta, and local models typically support 4K-32K tokens. Larger windows cost more per request.
For text transformation tasks (grammar, translation, rewriting), context windows rarely matter because you're processing short selections. For summarizing long documents or analyzing entire files, the context window determines how much content the model can consider at once.
How Echoo Helps
Echoo handles context windows automatically. For most text transformations, your selected text fits easily within any model's window. For file processing, Echoo manages chunking so you can work with large documents seamlessly.
Related Terms
AI Text Transformation
AI text transformation is the process of using artificial intelligence models to modify, improve, or convert text. This includes grammar correction, translation, summarization, tone adjustment, and rewriting.
API Key
An API key is a unique string of characters that authenticates your requests to an AI service. When you use tools like OpenAI, Anthropic, or Google Gemini, your API key proves your identity and tracks your usage for billing.
Local LLM
A local LLM (Large Language Model) is an AI model that runs entirely on your own computer instead of in the cloud. Tools like Ollama, LocalAI, and LiteLLM make it easy to run models locally on Mac.
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