Processing or generating 500 words (approximately 640 tokens) with o3 (Reasoning Frontier) ranges from $0.00064 (cached input) to $0.0256 (full generation).
You send 500 words as prompt context, documentation, or background knowledge.
o3 (Reasoning Frontier) drafts a complete 500 words article, chapter, or code module.
400 words input prompt + 100 words output reply.
| Model | Provider | Input Cost (500 words) | Cached Input Cost | Output Cost (500 words) | Context Limit |
|---|---|---|---|---|---|
| o3 (Reasoning Frontier) (Current) | openai | $0.0064 | $0.00064 | $0.0256 | 1,050,000 |
| GPT-5.6 Sol | openai | $0.0032 | $0.00032 | $0.0192 | 1,050,000 |
| GPT-5.6 Cyber | openai | $0.008 | $0.0008 | $0.048 | 1,050,000 |
| GPT-5.5 Standard | openai | $0.0032 | $0.00032 | $0.0192 | 512,000 |
| GPT-5.5 Pro | openai | $0.0192 | $0.00192 | $0.1152 | 512,000 |
| o3-pro (Frontier Reasoning) | openai | $0.0128 | $0.00128 | $0.0512 | 1,000,000 |
For o3 (Reasoning Frontier) (o200k_base tokenizer), 500 words is approximately 640 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 500 words as input costs $0.0064 (or $0.00064 with prompt caching). Generating 500 words as output costs $0.0256. 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 $0.00064). For non-urgent asynchronous batch processing, 24-hour batch queues provide a flat 50% discount across all tokens (costing $0.0032 for input, $0.0128 for output).
At an average human reading speed of 250 words per minute, 500 words takes approximately 2 minutes to read. In contrast, o3 (Reasoning Frontier) can process or generate this text in seconds.