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Paste your prompt and see how much of each model's context window it uses. Plan long-context tasks before you hit a wall.
A context window is the total amount of text a model can consider at once — the system prompt, the conversation history, any documents you've pasted in, and the response it's generating. It's measured in tokens, not characters or words.
When you exceed the window, the model doesn't error gracefully — it silently drops earlier content. The first thing forgotten is usually whatever sits in the middle of the conversation, which is exactly the worst content to lose. Keeping comfortable headroom (50–70% utilization) prevents quality drop-off in long sessions.
Larger isn't always better. Latency and cost both scale with context length, and most models show a noticeable accuracy dip on tasks that genuinely fill their declared window. Use the smallest window that fits the task.
In MultipleChat you can route a long task to whichever model has the most room — then bring the answer back into your main chat.
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