GigaChat 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
- Sber
- Organisation type
- Industry,Government
- Country
- Russia
- Published
- 13 December 2023
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, Chat
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
- 29B
- Training data
- tokens
"GigaChat Pro is a transformer containing 29 billion parameters"
The training run
What it physically took to train: which chips, how many, for how long, and what that drew from the wall.
- Training hardware
- NVIDIA A100
- Chips used
- 128
- Power draw
- 101.5 kW
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
- Confident
Sources
Where this record came from and when it was last checked.
- Reference
- GigaChat Pro
- Last updated
- 28 November 2025
What the numbers mean
Where it came from
GigaChat Pro was published by Sber, in the country recorded as Russia, during December 2023. The publishing organisation is categorised as industry,Government.
It works in the domain of Language, and is recorded as performing the task of language modeling/generation, Question answering, Chat.
Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.
Answers
GigaChat Pro — common questions
GigaChat Pro— is it open source?
No. Its weights have not been published, so it exists only as a service controlled by its owner.
GigaChat Pro— how many parameters does it have?
It has a parameter count of 29B. "GigaChat Pro is a transformer containing 29 billion parameters". 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.
GigaChat Pro— who created it?
It was published by Sber, based in Russia, an organisation categorised as industry,Government.
GigaChat Pro— when was it released?
It was published in December 2023. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
GigaChat Pro— 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, Chat. A model can carry several of each, so these are the areas it was built for rather than a limit on what it will attempt.
GigaChat Pro— 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.
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.