The largest Ministral 3: strong reasoning and coding at 14B-class memory requirements. Understands images and calls tools.
| AIME25 | 85 | |
|---|---|---|
| GPQA Diamond | 71.2 | |
| LiveCodeBench | 64.6 |
Which GPU does Ministral 3 14B need?
The entry configuration is 1x RTX3090, which delivers around 36 tokens per second. For more parallel requests and headroom on speed, go with 1x H200.
How much does Ministral 3 14B cost?
An hour of Ministral 3 14B runs from $0.39 to $8.20 depending on the GPU configuration. Billing is hourly: you pay for server time, not for tokens.
How do I call Ministral 3 14B from my code?
Once deployed you get an OpenAI-compatible endpoint: point any OpenAI client at the base_url you receive and pass ministral-3:14b as the model name. Code written against the OpenAI API needs no changes.
Does the data stay private?
Yes. Ministral 3 14B runs on a dedicated GPU server inside a private environment: requests and responses never reach the model vendor and are not used for training.
What context window and license does Ministral 3 14B have?
Ministral 3 14B holds 32K tokens of context per request and ships under the Apache 2.0 license, so you can use it commercially on your own hosting terms.