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Magistral Small 1.2

Magistral Small 1.2 is an open-weight language model from Mistral AI, released in September 2025.

Developer
Mistral AI
Released
September 2025
Total parameters
24B
Architecture
Dense
Context window
128K
Input
Text, image
License
Apache 2.0
Commercial use
Yes
Official weights, GB
48 GB
Hugging Face repository
huggingface.co
Checked on

Magistral Small 1.2 is a dense model with 24B parameters. Mistral AI lists a context window of 128K 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 48.0 GB in BF16. 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
24B
Context window, tokens
128K
License type
Apache 2.0
License conditions
Apache 2.0, with no user or revenue limits.
Weights precision
BF16
Official quantized or alternative versions
mistralai/Magistral-Small-2509-GGUF
License text
apache.org
Sources
PageURL
Hugging Face model cardhttps://huggingface.co/mistralai/Magistral-Small-2509/raw/main/README.md
Hugging Face weights indexhttps://huggingface.co/mistralai/Magistral-Small-2509/raw/main/model.safetensors.index.json

Questions

What license does Magistral Small 1.2 use?
The weights are released under Apache 2.0, which allows commercial use with no user or revenue limits.
How much memory does Magistral Small 1.2 need?
The official BF16 weights take about 48.0 GB. Mistral AI also publishes an official GGUF version (mistralai/Magistral-Small-2509-GGUF), which needs less. The memory calculator checks which setups fit.
How many parameters does Magistral Small 1.2 have?
Magistral Small 1.2 is a dense model with 24B parameters and a context window of 128K tokens.
What input does Magistral Small 1.2 accept?
Text and image input.

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.

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