Processing or generating 500 words (approximately 667 tokens) with Llama 3.1 8B Instruct ranges from $0.0000083 (cached input) to $0.000053 (full generation).
Quick answer
For 500 words, Llama 3.1 8B Instruct processes approximately 667 tokens. That costs $0.000033 as uncached input, $0.0000083 with the modeled cache discount, or $0.000053 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 500 words as prompt context, documentation, or background knowledge.
Llama 3.1 8B Instruct 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 |
|---|---|---|---|---|---|
| Llama 3.1 8B Instruct (Current) | meta | $0.000033 | $0.0000083 | $0.000053 | 128,000 |
| GPT-5.6 Luna | openai | $0.000128 | $0.000013 | $0.000768 | 1,050,000 |
| GPT-5.4 mini | openai | $0.00048 | $0.000048 | $0.00288 | 256,000 |
| GPT-5.4 nano | openai | $0.000128 | $0.000013 | $0.0008 | 128,000 |
| GPT-4o mini | openai | $0.000096 | $0.000048 | $0.000384 | 128,000 |
| Claude Haiku 4.5 | anthropic | $0.00066 | $0.000066 | $0.0033 | 1,000,000 |
For Llama 3.1 8B Instruct (tiktoken_cl100k tokenizer), 500 words is approximately 667 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 500 words as input costs $0.000033 (or $0.0000083 with prompt caching). Generating 500 words as output costs $0.000053. 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 $0.0000083). For non-urgent asynchronous batch processing, 24-hour batch queues provide a flat 50% discount across all tokens (costing $0.000017 for input, $0.000027 for output).
At an average human reading speed of 250 words per minute, 500 words takes approximately 2 minutes to read. In contrast, Llama 3.1 8B Instruct can process or generate this text in seconds.