Magistral Medium 1.2
No estimate
No hardware requirements for this model
The weights for this model have not been published, so it cannot be downloaded or run on your own hardware at any size. It is reachable only through its provider, and no graphics card changes that.
On record
Full specification
Everything on record for this model. Most of it describes how it was trained rather than how it runs — useful context for judging how much work went into it, and how it compares with models built at a different scale.
Origin
Who built this model, where, and when it was published.
- Organisation
- Mistral AI
- Organisation type
- Industry
- Country
- France
- Published
- 18 September 2025
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Language
- Task
- Language modeling/generation, Question answering, Quantitative reasoning, Code generation, Translation
Size
How large the model is and how much data it was trained on. Parameters are the figure that decides whether it fits on a given graphics card.
- Training data
- tokens
Availability
Whether you can obtain the model and run it on your own hardware, which is what decides if any of the graphics-card figures on this page apply.
- Weights
- Closed — provider access only
- Model access
- API access
- Training code
- Unreleased
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Unknown
Sources
Where this record came from and when it was last checked.
- Reference
- Introducing Magistral Small 1.2 & Magistral Medium 1.2, minor updates to our Magistral 1.1 models!
- Last updated
- 28 November 2025
What the numbers mean
About this model
Magistral Medium 1.2 was published by Mistral AI, in the country recorded as France, during September 2025. The category the publisher falls under is industry.
It works in the domain of Language, and is recorded as performing the task of language modeling/generation, Question answering, Quantitative reasoning, Code generation, Translation.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
Answers
Magistral Medium 1.2 — common questions
Magistral Medium 1.2— how many parameters does it have?
No parameter count has been published for it, which is why no memory or speed figure appears on this page.
Magistral Medium 1.2— who created it?
It was published by Mistral AI, based in France, an organisation categorised as industry.
Magistral Medium 1.2— when was it released?
It was published in September 2025.
Magistral Medium 1.2— what is it used for?
It works in the domain of Language, and is recorded as handling the task of language modeling/generation, Question answering, Quantitative reasoning, Code generation, Translation. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
Magistral Medium 1.2— what GPU do I need to run it?
None. This is a closed model — its weights were never published, so it cannot be downloaded or run on your own hardware at any price. It is reachable only through its provider.
Magistral Medium 1.2— is it open source?
No. Its weights have not been published, so it exists only as a service controlled by its owner.
Source
Record last updated 28 November 2025
The other direction
Looking at it from the other side?
This page starts from the model. If you already own a card and want to know everything it will run, start from the hardware instead.