How Many Blog Posts Can AI Write With 1 Million Tokens?

One million output tokens produces approximately 500 full blog posts or reports. A complete AI-written article averages about 2,000 tokens (~1,500 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.

≈ 500 blog posts AI-written articles, drawn to scale

1 block = 1 article

The answer

≈ 500 blog posts

AI-written articles

The math

Basis assumption

~2,000 tokens per article

Calculation

A full blog post or report generated by AI averages about 2,000 tokens (~1,500 words). A million output tokens produces 500 complete articles.

Result

1,000,000 tokens = 500 AI-written articles

Quick reference

Other ways to measure one million tokens in the same category:

≈ 2,000 detailed responseslong AI responses≈ 5,000 code completionsfunction implementations≈ 10,000 email draftsAI-drafted email replies≈ 1,000 document summariespage-long summaries

Related questions

How Many AI Responses Is 1 Million Output Tokens?≈ 2,000 detailed responsesHow Many Code Completions Is 1 Million Output Tokens?≈ 5,000 code completionsHow Many Emails Can AI Draft With 1 Million Tokens?≈ 10,000 email draftsHow Many Summaries Can AI Write With 1 Million Tokens?≈ 1,000 document summaries

See also

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