Cost to Generate 1,000 Product Descriptions with LLM APIs
Calculate the cost of using LLM APIs to generate e-commerce product descriptions at scale. Compare all models for 1,000 product descriptions with verified pricing.
⚡ Your Workload
📊 Cost Summary
Cost per products across 153 models
Show all 153 models in a table
| Model | Provider | Input $/M | Output $/M | Cost for 1K products |
|---|
How this calculator works
Each product description generation requires ~400 input tokens (product name, specs, features, brand guidelines) and ~800 output tokens (the description, ~600 words). Product description generation is output-heavy, so models with low output pricing are most cost-effective.
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 1,000 product descriptions with an LLM?
Generating 1,000 product descriptions costs $1-3 with budget models, $5-15 with mid-tier models, and $30-80 with frontier models. Since this is output-heavy, compare models by output pricing per million tokens.
Which LLM is cheapest for generating product descriptions?
DeepSeek V3, Gemini Flash, and Groq-hosted models offer the lowest cost per product description. Mid-tier models produce more creative, brand-aligned copy at 3-5x the cost. For bulk generation, budget models are usually sufficient.
How are product description token costs calculated?
Each product uses ~400 input tokens (specs) and ~800 output tokens (description). Total cost = (input_tokens × input_price + output_tokens × output_price) × number_of_products. Prices are per million tokens from official provider pricing.