$0.0003 for one request, and $0.01 a day at 50 requests a day.
Show the maths
New input: 1,000 tokens × $0.20 per million = $0.0002
Output: 400 tokens × $0.20 per million = $0.00008
1,500 requests a month × $0.0003 = $0.42
Caching half the input would save about $0.14 a month
That uses the published cache-read price of $0.02 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 $0.21 a month
Mistral says batch processing is half price. Batch jobs are slower, and they suit work that can wait.
Ministral 3 3B would cost about $0.21 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 $0.06 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 Ministral 3 14B cost?
Ministral 3 14B is $0.20 per million input tokens and $0.20 per million output tokens on the standard price checked on the provider’s page. Cached input, meaning tokens already stored and read back, is $0.02 per million tokens.
What is the context window for Ministral 3 14B?
A context window was not confirmed on the pages checked, so it is left blank rather than guessed.
Where does the Ministral 3 14B 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.