$0.0011 for one request, and $0.06 a day at 50 requests a day.
Show the maths
New input: 1,000 tokens × $0.50 per million = $0.0005
Output: 400 tokens × $1.50 per million = $0.0006
1,500 requests a month × $0.0011 = $1.65
Caching half the input would save about $0.34 a month
That uses the published cache-read price of $0.05 per million tokens. It assumes half of these input tokens are already in a cache. Writing the cache can cost extra, and that write price is not included.
Batch processing would save about $0.83 a month
Mistral says batch processing is half price. Batch jobs are slower, and they suit work that can wait.
A reply half as long would save about $0.45 a month
Output tokens are often the expensive part. Asking for a shorter answer cuts that cost directly.
Cached prices here are read prices. Writing a cache can cost extra, and that write price is on the provider’s page, not in this total. A US-only endpoint is 1.1× at some providers and is not included. Fast modes are not included.
How much does Mistral Large 3 cost?
Mistral Large 3 is $0.50 per million input tokens and $1.50 per million output tokens on the standard price checked on the provider’s page. Cached input, meaning tokens already stored and read back, is $0.05 per million tokens.
What is the context window for Mistral Large 3?
A context window was not confirmed on the pages checked, so it is left blank rather than guessed.
Where does the Mistral Large 3 price come from?
The figures were read from Mistral’s pricing page on 23 October 2026: https://docs.mistral.ai/inference/pricing. If that page has changed since, the page is ahead of this site until the snapshot is updated.