How Many Summaries Can AI Write With 1 Million Tokens?
One million output tokens produces approximately 1,000 document summaries. A thorough page-long summary runs about 1,000 tokens (~750 words).
Why this matters
Output tokens cost 2-8x more than input tokens because the model generates them sequentially. Understanding output token budgets is critical for any application that relies on AI-generated text, code, or summaries at scale.
1 block = 1 summary
The answer
≈ 1,000 document summaries
page-long summaries
The math
Basis assumption
~1,000 tokens per summary
Calculation
A thorough document summary runs about 1,000 tokens (~750 words, a full page). A million output tokens produces 1,000 of these — an entire research library summarized.
Result
1,000,000 tokens = 1,000 page-long summaries
Quick reference
Other ways to measure one million tokens in the same category: