Cost to Translate 50,000 Words with LLM APIs
Calculate the cost of using LLM APIs for translation. Compare all models for translating 50,000 words with verified per-million-token pricing.
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📊 Cost Summary
Cost per thousand words across 153 models
Show all 153 models in a table
| Model | Provider | Input $/M | Output $/M | Cost for 50 thousand words |
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How this calculator works
Translation is approximately 1:1 in token terms — 1,000 words ≈ 1,500 tokens input (source text) and 1,500 tokens output (translated text). The input/output ratio is roughly 50/50. Token counts vary by language — non-Latin scripts may use more tokens per word. The quantity is measured in thousands of words for convenience.
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 translate 50,000 words with an LLM?
Translating 50,000 words costs $1-5 with budget models, $10-25 with mid-tier models, and $50-150+ with frontier models. Translation is nearly 50/50 input/output, so blended cost is the best comparison metric. This is dramatically cheaper than human translation ($1,500-3,000 for 50K words).
Which LLM API is cheapest for translation?
DeepSeek V3, Gemini Flash, and Groq-hosted Llama models offer the lowest translation cost. For translation quality, mid-tier models like GPT-4.1 Mini or Claude Sonnet provide better nuance and context awareness at 3-5x the cost.
How are translation token costs calculated?
1,000 words ≈ 1,500 input tokens + 1,500 output tokens (translation is ~1:1). Total cost = (input_tokens × input_price + output_tokens × output_price) × thousands_of_words. Prices are per million tokens from verified provider pricing.