Why should I target less than 100% of the context window?

The context window is shared between your prompt and the model's response. If your prompt uses 100%, there is no room for output. A 70% target leaves 30% for responses, which is a common rule of thumb.

How are token savings estimated?

Savings are estimated based on typical reductions from each compression technique. For example, converting a paragraph to bullet points typically saves 30-50% of the words in that section.

What is the most effective way to reduce prompt length?

The biggest wins usually come from removing redundant examples (keep only 1-2), replacing prose paragraphs with bullet points, and shortening verbose constraint descriptions.

AI Prompt Length Optimizer

Check if your prompt fits within a model context window and get compression tips.

Model

Target Context Usage70%

50%90%

Budget: 89,600 / 128,000 tokens

Prompt

Paste a prompt above to check if it fits within the context window

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guide:context window management guide:cost optimization

FAQ

Why should I target less than 100% of the context window?: The context window is shared between your prompt and the model's response. If your prompt uses 100%, there is no room for output. A 70% target leaves 30% for responses, which is a common rule of thumb.
How are token savings estimated?: Savings are estimated based on typical reductions from each compression technique. For example, converting a paragraph to bullet points typically saves 30-50% of the words in that section.
What is the most effective way to reduce prompt length?: The biggest wins usually come from removing redundant examples (keep only 1-2), replacing prose paragraphs with bullet points, and shortening verbose constraint descriptions.

Compare your prompt token count against a model's context window. Set a target usage percentage (default 70%) to leave room for the response. If your prompt is over budget, get actionable compression suggestions with estimated token savings.