🔹 What is this?
The contextual window is the AI's “RAM.” It defines how much text or data the model can hold and use when forming a response.
That is, every time you write to AI, it does not “remember” the past like a human, but runs the entire history of the dialogue through its “brain.” If the dialogue is long — part of the old is displaced.
🔹 Sizes of the contextual window in popular models
📌 In 2025:
Grok (Telegram bot): ~500–750 KB of text (170–375 thousand characters).
ChatGPT (GPT-4 Turbo): up to 128k tokens (~300–400 thousand words).
Claude 3 Opus: 200k tokens (~500–700 pages of text).
Gemini (Google): up to 1 million tokens in separate versions (that's dozens of books).
For comparison:
• 📖 “Alice in Wonderland” — 27 thousand words (fits easily).
• 📖 “War and Peace” — ~560 thousand words (fits only in the top models).
🔹 How it works technically
Each word or symbol in the text is turned into “tokens” — pieces of data.
Example:
The word “context” can take 1 token.
• The phrase “AI contextual window” = 4–5 tokens.
The model receives tokens → processes them → provides a response.
The bigger the window, the longer the dialogue and the more complex tasks can be solved.
🔹 Limitations and nuances
1. Limits of messengers
In Telegram, bots are cut off at 4096 characters per message. Even if AI can handle more, Telegram limits it.
2. Cost of computations
The bigger the window, the more expensive the request.
📌 A million tokens in GPT costs as much as a good meal in a restaurant.
3. “Memory displacement”
Old parts of the conversation are deleted to free up space for new ones.
4. Not everything — memory
Context ≠ long-term memory. Today's chatbot can remember, but in a new dialogue, everything will be reset (unless special saving is integrated).
🔹 Why is this important
• Long documents (contracts, research) can be analyzed in full.
• AI becomes a “companion” that remembers you, not forgetting after 5 minutes.
• This is a key factor for business tasks: lawyers, analysts, programmers really use this as a tool.
🔹 Comparison with a human
• Human: working memory ~7±2 elements (according to Miller).
• AI: hundreds of thousands of characters simultaneously.
• But! Humans have long-term memory — for decades, while AI — until the window is cleared.
✅ Conclusion
The contextual window is RAM for neural networks.
The bigger it is → the smarter and more useful AI seems.
But models do not have infinite memory: the old is displaced, and long-term memories are a separate technology.
⚠️If the material was useful — support with a like.
⚡️Subscribe, more analyses and facts from the world of AI and crypto are ahead.
#AI #контекст #нейросети #технологии