Processing or generating 1,000 words (approximately 1,333 tokens) with DeepSeek V3 (Chat) ranges from $0.000019 (cached input) to $0.000373 (full generation).
Quick answer
For 1,000 words, DeepSeek V3 (Chat) processes approximately 1,333 tokens. That costs $0.000187 as uncached input, $0.000019 with the modeled cache discount, or $0.000373 when generated as output.
Method & trust
The estimate converts the selected English word count with the model tokenizer family, then applies the published input/output price per million tokens. Real prompts vary with code, formatting, language, and system instructions.
You send 1,000 words as prompt context, documentation, or background knowledge.
DeepSeek V3 (Chat) drafts a complete 1,000 words article, chapter, or code module.
800 words input prompt + 200 words output reply.
| Model | Provider | Input Cost (1,000 words) | Cached Input Cost | Output Cost (1,000 words) | Context Limit |
|---|---|---|---|---|---|
| DeepSeek V3 (Chat) (Current) | deepseek | $0.000187 | $0.000019 | $0.000373 | 64,000 |
| GPT-5.6 Luna | openai | $0.000256 | $0.000026 | $0.001536 | 1,050,000 |
| GPT-5.4 mini | openai | $0.00096 | $0.000096 | $0.00576 | 256,000 |
| GPT-5.4 nano | openai | $0.000256 | $0.000026 | $0.0016 | 128,000 |
| GPT-4o mini | openai | $0.000192 | $0.000096 | $0.000768 | 128,000 |
| Claude Haiku 4.5 | anthropic | $0.00132 | $0.000132 | $0.0066 | 1,000,000 |
For DeepSeek V3 (Chat) (deepseek_bpe tokenizer), 1,000 words is approximately 1,333 tokens (an average ratio of 1.33 tokens per word in English). Code, technical vocabulary, and non-English scripts will have higher token densities.
Sending 1,000 words as input costs $0.000187 (or $0.000019 with prompt caching). Generating 1,000 words as output costs $0.000373. Output tokens are more expensive because autoregressive token generation requires significantly more computation per token.
Yes! If your input text is part of a repeated context, prompt caching saves 50% to 90% (costing $0.000019). For non-urgent asynchronous batch processing, 24-hour batch queues provide a flat 50% discount across all tokens (costing $0.000093 for input, $0.000187 for output).
At an average human reading speed of 250 words per minute, 1,000 words takes approximately 4 minutes to read. In contrast, DeepSeek V3 (Chat) can process or generate this text in seconds.