Cost to Generate 500 Blog Posts with LLM APIs
Calculate the real cost of using LLM APIs to generate blog posts and articles. Compare all models for producing 500 articles with verified per-million-token pricing.
⚡ Your Workload
📊 Cost Summary
Cost per articles across 153 models
Show all 153 models in a table
| Model | Provider | Input $/M | Output $/M | Cost for 500 articles |
|---|
How this calculator works
Each blog post or article generation requires ~500 input tokens (the prompt, topic, keywords, style instructions) and ~2,000 output tokens (the article, ~1,500 words). Content generation is output-token-heavy, so models with cheap output pricing are most cost-effective. Longer articles or multi-section pieces will increase output token usage proportionally.
Formula: cost = (input_tokens × input_price_per_Mtok + output_tokens × output_price_per_Mtok) × quantity / 1,000,000
All prices are per million tokens, sourced directly from official provider pricing pages and verified by our automated scraper pipeline that runs 3× daily. No fabricated numbers — every price links to its source.
Frequently asked questions
How much does it cost to generate 500 blog posts with an LLM API?
Generating 500 blog posts (~1,500 words each) costs $2-8 with budget models, $15-40 with mid-tier models, and $75-200+ with frontier models. Since content generation is output-heavy, focus on models with low output pricing per million tokens.
Which LLM API is cheapest for content generation?
For bulk content generation, DeepSeek V3, Gemini Flash, and Groq-hosted models offer the lowest cost per article. Mid-tier models like GPT-4.1 Mini provide better writing quality at 3-5x the cost. Choose based on your quality requirements.
How are content generation token costs calculated?
Each article uses ~500 input tokens (prompt) and ~2,000 output tokens (article text). Total cost = (input_tokens × input_price + output_tokens × output_price) × number_of_articles. Prices are per million tokens from official provider pricing pages.