Processing or generating 10,000 words (approximately 13,330 tokens) with Mistral Large 2 (2411) ranges from $0.002666 (cached input) to $0.08 (full generation).
Quick answer
For 10,000 words, Mistral Large 2 (2411) processes approximately 13,330 tokens. That costs $0.0267 as uncached input, $0.002666 with the modeled cache discount, or $0.08 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.
Mistral Large 2 (2411) 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 |
|---|---|---|---|---|---|
| Mistral Large 2 (2411) (Current) | mistral | $0.0267 | $0.002666 | $0.08 | 128,000 |
| GPT-5.6 Sol | openai | $0.064 | $0.0064 | $0.384 | 1,050,000 |
| GPT-5.6 Cyber | openai | $0.16 | $0.016 | $0.96 | 1,050,000 |
| GPT-5.5 Standard | openai | $0.064 | $0.0064 | $0.384 | 512,000 |
| GPT-5.5 Pro | openai | $0.384 | $0.0384 | $2.304 | 512,000 |
| o3-pro (Frontier Reasoning) | openai | $0.256 | $0.0256 | $1.024 | 1,000,000 |
For Mistral Large 2 (2411) (mistral_bpe 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 $0.0267 (or $0.002666 with prompt caching). Generating 10,000 words as output costs $0.08. 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 $0.002666). For non-urgent asynchronous batch processing, 24-hour batch queues provide a flat 50% discount across all tokens (costing $0.0133 for input, $0.04 for output).
At an average human reading speed of 250 words per minute, 10,000 words takes approximately 40 minutes to read. In contrast, Mistral Large 2 (2411) can process or generate this text in seconds.