SenseChat 5.0
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
- SenseTime
- Organisation type
- Industry
- Country
- Hong Kong
- Published
- 23 April 2024
- Authors
- SenseNova Team
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Language
- Task
- Chat, Language modeling/generation
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
- 600B
- Training data
- 1,835,000,000,000 tokens
This article claims the model is a 600B MoE: https://www.sensetime.com/cn/news-detail/51168158?categoryId=72
Words per gygabyte for Mandarin Chinese: 167M 10000*167000000 = 1670000000000 "is trained based on more than 10TB of tokens, covers a large amount of synthetic data" However, a later news article from SenseTime itself said: "In terms of data, SenseChat V5 uses a new generation of data production pipelines to produce 10T tokens of high-quality training data." (It also says "10T tokens" in the original untranslated version).
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
- Hosted access (no API)
- Training code
- Unreleased
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Likely above 10²³ FLOP
- Yes
- Record confidence
- Likely
Sources
Where this record came from and when it was last checked.
- Last updated
- 28 November 2025
What the numbers mean
About this model
SenseChat 5.0 was published by SenseTime, in Hong Kong, in April 2024. The organisation is categorised as industry.
It works in Language, and is recorded as doing chat, Language modeling/generation.
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 was trained on about 1,835,000,000,000 tokens of text.
Answers
SenseChat 5.0 — common questions
When was SenseChat 5.0 released?
SenseChat 5.0 was published in April 2024. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
What is SenseChat 5.0 used for?
SenseChat 5.0 works in Language, and is recorded as handling chat, Language modeling/generation. These are the areas it was designed around; they describe intent rather than a hard boundary.
What GPU do I need to run SenseChat 5.0?
None. SenseChat 5.0 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 SenseChat 5.0 open source?
No. SenseChat 5.0 has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does SenseChat 5.0 have?
SenseChat 5.0 has 600B parameters. This article claims the model is a 600B MoE: https://www.sensetime.com/cn/news-detail/51168158?categoryId=72. 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 SenseChat 5.0?
SenseChat 5.0 was published by SenseTime, based in Hong Kong, categorised as industry.
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.