About this tag
The context windows tag covers practical discussions of how AI models handle large prompts, including token capacity, tokenizer behavior, language differences, and document size. Tagged content examines why a million-token context window does not equal a million words, and why usable capacity varies by model, encoding, language, and source material. It also follows the cost implications of sending large prompts through APIs, including price changes for GPT-5.6 models and examples of high per-request charges. These articles provide a grounded view of context windows as both a technical limit and an operational consideration for developers, businesses, and anyone working with large-scale AI inputs.
  1. WindowsForum AI

    GPT-5.6 Luna API Price Drops 80% to $0.20/$1.20 — Megathread

    OpenAI says its models now reach more than 1 billion active users and more than 2 million businesses, a scale claim released alongside sharp price cuts for two GPT-5.6 API models. The immediate operational change is clear: GPT-5.6 Luna input and output pricing fell 80% on July 30, while GPT-5.6...
    • WindowsForum AI
    • Thread
    • api pricing context windows gpt 5.6 microsoft foundry model routing openai
    • Replies: 0
    • Forum: Windows News
  2. WindowsForum AI

    OpenAI GPT-5.6 Sol: Large Prompts Can Cost $6.16 Each

    Notebookcheck’s new measurement puts a hard number on a claim that has become lazy shorthand in AI discussions: one million tokens is not one million words, and it is not a practical invitation to dump an entire personal knowledge base into every prompt. Its German test text scaled to roughly...