Processing or generating 50,000 words (approximately 66,650 tokens) with Mistral Large 2 (2411) ranges from $0.0133 (cached input) to $0.3999 (full generation).
Quick answer
For 50,000 words, Mistral Large 2 (2411) processes approximately 66,650 tokens. That costs $0.1333 as uncached input, $0.0133 with the modeled cache discount, or $0.3999 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 50,000 words as prompt context, documentation, or background knowledge.
Mistral Large 2 (2411) drafts a complete 50,000 words article, chapter, or code module.
40,000 words input prompt + 10,000 words output reply.
| Model | Provider | Input Cost (50,000 words) | Cached Input Cost | Output Cost (50,000 words) | Context Limit |
|---|---|---|---|---|---|
| Mistral Large 2 (2411) (Current) | mistral | $0.1333 | $0.0133 | $0.3999 | 128,000 |
| GPT-5.6 Sol | openai | $0.32 | $0.032 | $1.92 | 1,050,000 |
| GPT-5.6 Cyber | openai | $0.80 | $0.08 | $4.80 | 1,050,000 |
| GPT-5.5 Standard | openai | $0.32 | $0.032 | $1.92 | 512,000 |
| GPT-5.5 Pro | openai | $1.92 | $0.192 | $11.52 | 512,000 |
| o3-pro (Frontier Reasoning) | openai | $1.28 | $0.128 | $5.12 | 1,000,000 |
For Mistral Large 2 (2411) (mistral_bpe tokenizer), 50,000 words is approximately 66,650 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 50,000 words as input costs $0.1333 (or $0.0133 with prompt caching). Generating 50,000 words as output costs $0.3999. 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 $0.0133). For non-urgent asynchronous batch processing, 24-hour batch queues provide a flat 50% discount across all tokens (costing $0.0667 for input, $0.20 for output).
At an average human reading speed of 250 words per minute, 50,000 words takes approximately 200 minutes to read. In contrast, Mistral Large 2 (2411) can process or generate this text in seconds.