Processing or generating 25,000 words (approximately 32,000 tokens) with o1-mini ranges from $0.0176 (cached input) to $0.1408 (full generation).
Quick answer
For 25,000 words, o1-mini processes approximately 32,000 tokens. That costs $0.0352 as uncached input, $0.0176 with the modeled cache discount, or $0.1408 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 25,000 words as prompt context, documentation, or background knowledge.
o1-mini drafts a complete 25,000 words article, chapter, or code module.
20,000 words input prompt + 5,000 words output reply.
| Model | Provider | Input Cost (25,000 words) | Cached Input Cost | Output Cost (25,000 words) | Context Limit |
|---|---|---|---|---|---|
| o1-mini (Current) | openai | $0.0352 | $0.0176 | $0.1408 | 128,000 |
| GPT-5.6 Terra | openai | $0.064 | $0.0064 | $0.384 | 1,050,000 |
| GPT-5.4 Workhorse | openai | $0.08 | $0.008 | $0.48 | 256,000 |
| o3-mini | openai | $0.0352 | $0.0176 | $0.1408 | 200,000 |
| o4-mini | openai | $0.0352 | $0.0088 | $0.1408 | 256,000 |
| Claude Sonnet 5 | anthropic | $0.066 | $0.0066 | $0.33 | 1,000,000 |
For o1-mini (o200k_base tokenizer), 25,000 words is approximately 32,000 tokens (an average ratio of 1.28 tokens per word in English). Code, technical vocabulary, and non-English scripts will have higher token densities.
Sending 25,000 words as input costs $0.0352 (or $0.0176 with prompt caching). Generating 25,000 words as output costs $0.1408. 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 $0.0176). For non-urgent asynchronous batch processing, 24-hour batch queues provide a flat 50% discount across all tokens (costing $0.0176 for input, $0.0704 for output).
At an average human reading speed of 250 words per minute, 25,000 words takes approximately 100 minutes to read. In contrast, o1-mini can process or generate this text in seconds.