$0.0045 for one request, and $0.23 a day at 50 requests a day.
Show the maths
New input: 1,000 tokens × $1.50 per million = $0.0015
Output: 400 tokens × $7.50 per million = $0.003
1,500 requests a month × $0.0045 = $6.75
Caching half the input would save about $1.01 a month
That uses the published cache-read price of $0.15 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 $3.38 a month
Mistral says batch processing is half price. Batch jobs are slower, and they suit work that can wait.
Mistral Large 3 would cost about $5.10 less a month
It is a cheaper model in the same broad class on this price list. It is still a different model, and the replies will not match.
A reply half as long would save about $2.25 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 Medium 3.5 cost?
Mistral Medium 3.5 is $1.50 per million input tokens and $7.50 per million output tokens on the standard price checked on the provider’s page. Cached input, meaning tokens already stored and read back, is $0.15 per million tokens.
What is the context window for Mistral Medium 3.5?
A context window was not confirmed on the pages checked, so it is left blank rather than guessed.
Where does the Mistral Medium 3.5 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.