Processing or generating 5,000 words (approximately 6,665 tokens) with Llama 3.2 11B Vision ranges from $0.000267 (cached input) to $0.001066 (full generation).
You send 5,000 words as prompt context, documentation, or background knowledge.
Llama 3.2 11B Vision 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 |
|---|---|---|---|---|---|
| Llama 3.2 11B Vision (Current) | meta | $0.001066 | $0.000267 | $0.001066 | 128,000 |
| GPT-5.6 Luna | openai | $0.00128 | $0.000128 | $0.00768 | 1,050,000 |
| GPT-5.4 mini | openai | $0.0048 | $0.00048 | $0.0288 | 256,000 |
| GPT-5.4 nano | openai | $0.00128 | $0.000128 | $0.008 | 128,000 |
| GPT-4o mini | openai | $0.00096 | $0.00048 | $0.00384 | 128,000 |
| Claude Haiku 4.5 | anthropic | $0.0066 | $0.00066 | $0.033 | 1,000,000 |
For Llama 3.2 11B Vision (tiktoken_cl100k tokenizer), 5,000 words is approximately 6,665 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 5,000 words as input costs $0.001066 (or $0.000267 with prompt caching). Generating 5,000 words as output costs $0.001066. 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 $0.000267). For non-urgent asynchronous batch processing, 24-hour batch queues provide a flat 50% discount across all tokens (costing $0.000533 for input, $0.000533 for output).
At an average human reading speed of 250 words per minute, 5,000 words takes approximately 20 minutes to read. In contrast, Llama 3.2 11B Vision can process or generate this text in seconds.