How does the LLM Context Window Calculator work?

Context window measured in tokens (1 token ≈ 0.75 words) Then: Input tokens include both the prompt and any prior conversation Then: Exceeding context limit causes earlier content to be forgotten Then: Cost = (context tokens ÷ 1000) × input price per 1K tokens.

Can you give an example of how to use the LLM Context Window Calculator?

Example: Input 32K tokens used in 128K model gives a result of 25% context used, ~$0.08 input cost (GPT-4o).

Is the LLM Context Window Calculator free to use?

Yes — completely free with no registration, download, or subscription required. All calculations happen instantly in your browser.

How accurate is the LLM Context Window Calculator?

Our LLM Context Window Calculator uses verified mathematical formulas and is accurate to multiple decimal places. Results are calculated in real-time using the same methods used by professionals.

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LLM Context Window Calculator

Context Used (K tokens)

Model

An LLM context window calculator shows how much of a model's context limit a given amount of text consumes, and estimates the input cost. Context window is the maximum text a model can process at once.

Symbol	Name	Unit	Description
window	Context window	tokens	Max tokens the model accepts
system	System prompt	tokens	Tokens used by system instructions
response	Max response	tokens	Tokens reserved for output
available	Available for input	tokens	Tokens left for user input/history

Tokens	Words (approx)	Pages (A4)	Cost (GPT-4o)
1K	750	3	$0.003
10K	7,500	30	$0.025
32K	24,000	96	$0.08
128K	96,000	384	$0.32
200K	150,000	600	$0.50

References

›Context windows explained — Anthropic

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Estimate tokens used for a given context length. Instant result with formula, worked example and step-by-step solution. No signup required.

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LLM Context Window Calculator

LLM Context Window Calculator

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Context Window vs Content Capacity

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LLM Context Window Calculator