Processing or generating 10,000 words (approximately 13,330 tokens) with Llama 3.2 11B Vision ranges from $0.000533 (cached input) to $0.002133 (full generation).
Quick answer
For 10,000 words, Llama 3.2 11B Vision processes approximately 13,330 tokens. That costs $0.002133 as uncached input, $0.000533 with the modeled cache discount, or $0.002133 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 10,000 words as prompt context, documentation, or background knowledge.
Llama 3.2 11B Vision drafts a complete 10,000 words article, chapter, or code module.
8,000 words input prompt + 2,000 words output reply.
| Model | Provider | Input Cost (10,000 words) | Cached Input Cost | Output Cost (10,000 words) | Context Limit |
|---|---|---|---|---|---|
| Llama 3.2 11B Vision (Current) | meta | $0.002133 | $0.000533 | $0.002133 | 128,000 |
| GPT-5.6 Luna | openai | $0.00256 | $0.000256 | $0.0154 | 1,050,000 |
| GPT-5.4 mini | openai | $0.0096 | $0.00096 | $0.0576 | 256,000 |
| GPT-5.4 nano | openai | $0.00256 | $0.000256 | $0.016 | 128,000 |
| GPT-4o mini | openai | $0.00192 | $0.00096 | $0.00768 | 128,000 |
| Claude Haiku 4.5 | anthropic | $0.0132 | $0.00132 | $0.066 | 1,000,000 |
For Llama 3.2 11B Vision (tiktoken_cl100k tokenizer), 10,000 words is approximately 13,330 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 10,000 words as input costs $0.002133 (or $0.000533 with prompt caching). Generating 10,000 words as output costs $0.002133. 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 $0.000533). For non-urgent asynchronous batch processing, 24-hour batch queues provide a flat 50% discount across all tokens (costing $0.001066 for input, $0.001066 for output).
At an average human reading speed of 250 words per minute, 10,000 words takes approximately 40 minutes to read. In contrast, Llama 3.2 11B Vision can process or generate this text in seconds.