AI vendors are racing to offer million-token context windows. But... they're not doing it for your benefit.
Remember when 4K context windows felt limiting? Then 8K arrived. Then 32K. Now we're being sold 128K, 200K and even million-token windows as the solution to all our AI problems. Sadly, it's all a con.
Here's what they're not telling you.
How AI Conversations Actually Work
Every message you send doesn't just process your latest prompt. The AI re-reads the entire conversation history - every single token - to generate each response.
Send a 100-word question in a fresh chat? You're using roughly 100 tokens. Send that same question after an hour of back-and-forth? You might be burning through 50,000 tokens for the same answer.
The cost isn't linear - it's exponential. Each message gets more expensive as your conversation grows, and those costs compound fast. Think Cookie Monster but for tokens!
The Lazy Prompting Tax
Larger context windows enable sloppy habits. Why bother being precise when you can just dump everything into the conversation and let the AI "figure it out"? Why manage your prompts when the context window is supposedly infinite?
This laziness has a price tag. A substantial one.
A well-structured conversation with clear prompts might cost pennies. That same interaction stretched across a rambling 50-message thread could cost pounds - delivering identical results while training you to be less effective.
The Platform Play
AI platform owners understand something most users don't: confusion is profitable.
Larger context windows sound like features. They feel like generosity. In reality, they're revenue optimization strategies that shift costs to users who don't understand the pricing model.
The more context you use, the more you pay - but the pricing structure obscures this reality until your bill arrives.
What Actually Works
Effective AI use requires discipline:
- Start fresh conversations for new topics rather than extending existing threads
- Be precise with prompts instead of relying on accumulated context
- Extract and restate key information rather than referencing earlier conversation points
- Structure your approach before dumping content into AI tools
This isn't just about cost control. Focused, well-managed conversations produce better results. Shorter contexts mean the AI spends less computational effort tracking irrelevant history and more on your actual problem.
The Lanboss Perspective
At Lanboss AI, we help organisations implement AI without falling for vendor marketing. Understanding how these tools actually work - and what they actually cost - is fundamental to safe, cost-effective AI adoption.
Larger context windows aren't inherently bad. But treating them as an invitation to lazy prompting and unmanaged conversations is expensive and counterproductive.
TL;DR Million-token context windows are a feature designed to increase platform revenue, not improve your results. Disciplined prompting and conversation management will save you money and deliver better outcomes.
