Ministral 3 14B
Ministral 3 14B is an open-weight language model from Mistral AI, released on December 2, 2025.
- Developer
- Mistral AI
- Released
- December 2, 2025
- Total parameters
- 14B
- Architecture
- Dense
- Context window
- 256K
- Input
- Text, image
- License
- Apache 2.0
- Commercial use
- Yes
- Official weights, GB
- 15.7 GB
- Hugging Face repository
- huggingface.co
- Checked on
Ministral 3 14B is a dense model with 14B parameters. That figure covers a 13.5B language model and a 0.4B vision encoder. Mistral AI lists a context window of 256K tokens. The model accepts text and image input. The weights are released under Apache 2.0, which allows commercial use. The official weights on Hugging Face take about 15.7 GB in FP8. Running the model needs at least that much memory across GPUs and system RAM, plus room for the context cache; quantized versions need less.
- Total parameters, billions
- 14B
- Context window, tokens
- 256K
- License type
- Apache 2.0
- License conditions
- Apache 2.0, with no user or revenue limits.
- Weights precision
- FP8
- Official quantized or alternative versions
- mistralai/Ministral-3-14B-Instruct-2512-GGUF; mistralai/Ministral-3-14B-Instruct-2512-BF16 (full precision)
- License text
- apache.org
- Sources
Page URL Hugging Face model card https://huggingface.co/mistralai/Ministral-3-14B-Instruct-2512/raw/main/README.md Hugging Face weights index https://huggingface.co/mistralai/Ministral-3-14B-Instruct-2512/raw/main/model.safetensors.index.json mistral.ai announcement https://mistral.ai/news/mistral-3
Questions
What license does Ministral 3 14B use?
How much memory does Ministral 3 14B need?
How many parameters does Ministral 3 14B have?
What context window does Ministral 3 14B have?
Sources
Every figure comes from the developer’s model card, license text and official announcements, and from the model’s Hugging Face repository metadata. Each model page lists its sources and the date they were checked; the register is rechecked every week.