Processing or generating 5,000 words (approximately 6,600 tokens) with Claude Opus 5 ranges from $0.0033 (cached input) to $0.165 (full generation).
You send 5,000 words as prompt context, documentation, or background knowledge.
Claude Opus 5 drafts a complete 5,000 words article, chapter, or code module.
4,000 words input prompt + 1,000 words output reply.
| Model | Provider | Input Cost (5,000 words) | Cached Input Cost | Output Cost (5,000 words) | Context Limit |
|---|---|---|---|---|---|
| Claude Opus 5 (Current) | anthropic | $0.033 | $0.0033 | $0.165 | 1,000,000 |
| GPT-5.6 Sol | openai | $0.032 | $0.0032 | $0.192 | 1,050,000 |
| GPT-5.6 Cyber | openai | $0.08 | $0.008 | $0.48 | 1,050,000 |
| GPT-5.5 Standard | openai | $0.032 | $0.0032 | $0.192 | 512,000 |
| GPT-5.5 Pro | openai | $0.192 | $0.0192 | $1.152 | 512,000 |
| o3-pro (Frontier Reasoning) | openai | $0.128 | $0.0128 | $0.512 | 1,000,000 |
For Claude Opus 5 (claude_bpe tokenizer), 5,000 words is approximately 6,600 tokens (an average ratio of 1.32 tokens per word in English). Code, technical vocabulary, and non-English scripts will have higher token densities.
Sending 5,000 words as input costs $0.033 (or $0.0033 with prompt caching). Generating 5,000 words as output costs $0.165. 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 $0.0033). For non-urgent asynchronous batch processing, 24-hour batch queues provide a flat 50% discount across all tokens (costing $0.0165 for input, $0.0825 for output).
At an average human reading speed of 250 words per minute, 5,000 words takes approximately 20 minutes to read. In contrast, Claude Opus 5 can process or generate this text in seconds.