MiMo-V2-Pro
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
- Xiaomi Corp
- Organisation type
- Industry
- Country
- China
- Published
- 18 March 2026
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
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.
- Parameters
- 1T
- Training data
- tokens
"Total parameters surpass 1T with 42B active, roughly 3x larger than MiMo-V2-Flash." Listed on https://mimo.xiaomi.com/mimo-v2-5-pro/ specifically as 1.02T in the "Full benchmark results" table
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Why it is tracked
- Discretionary
- Record confidence
- Confident
Sources
Where this record came from and when it was last checked.
- Reference
- Xiaomi MiMo-V2-Pro
- Last updated
- 19 June 2026
What the numbers mean
What this model is
MiMo-V2-Pro was published by Xiaomi Corp, in China, in March 2026. It comes out of industry.
It works in Language, and is recorded as doing language modeling/generation, Question answering.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
How it was trained
It is tracked in the underlying dataset for one reason in particular: discretionary.
Answers
MiMo-V2-Pro — common questions
What is MiMo-V2-Pro used for?
MiMo-V2-Pro works in Language, and is recorded as handling language modeling/generation, Question answering. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
What GPU do I need to run MiMo-V2-Pro?
None. MiMo-V2-Pro 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.
Is MiMo-V2-Pro open source?
The licensing for MiMo-V2-Pro was never recorded in our source data. We treat unstated licensing as closed, because an unrecorded licence is not one to rely on.
How many parameters does MiMo-V2-Pro have?
MiMo-V2-Pro has 1T parameters. "Total parameters surpass 1T with 42B active, roughly 3x larger than MiMo-V2-Flash." Listed on https://mimo.xiaomi.com/mimo-v2-5-pro/ specifically as 1.02T in the "Full benchmark results" table. That figure is the total, and it is what decides how much memory the model needs — roughly half a gigabyte per billion at the compression most people use.
Who created MiMo-V2-Pro?
MiMo-V2-Pro was published by Xiaomi Corp, based in China, categorised as industry.
When was MiMo-V2-Pro released?
MiMo-V2-Pro was published in March 2026.
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.