Processing or generating 500 words (approximately 660 tokens) with Claude 3 Opus ranges from $0.00099 (cached input) to $0.0495 (full generation).
You send 500 words as prompt context, documentation, or background knowledge.
Claude 3 Opus 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 |
|---|---|---|---|---|---|
| Claude 3 Opus (Current) | anthropic | $0.0099 | $0.00099 | $0.0495 | 200,000 |
| 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 Claude 3 Opus (claude_bpe tokenizer), 500 words is approximately 660 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 500 words as input costs $0.0099 (or $0.00099 with prompt caching). Generating 500 words as output costs $0.0495. 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 $0.00099). For non-urgent asynchronous batch processing, 24-hour batch queues provide a flat 50% discount across all tokens (costing $0.00495 for input, $0.0248 for output).
At an average human reading speed of 250 words per minute, 500 words takes approximately 2 minutes to read. In contrast, Claude 3 Opus can process or generate this text in seconds.