SenseNova V6
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
- 12 April 2025
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Multimodal, Language, Video, Vision
- Task
- Language modeling/generation, Quantitative reasoning, Question answering, Visual question answering, Video description, Character recognition (OCR), Code generation, 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
- 600B
- Training data
- tokens
"Mixture of Experts (MoE)-based multimodal general foundation model with over 600 billion parameters,"
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
"The SenseChat app is available for preview and SenseNova V6 is now available for trial via the SenseChat web platform at https://chat.sensetime.com/wb/chat." API: https://platform.sensenova.cn/technology/fusion/Pro/
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
- Confident
Sources
Where this record came from and when it was last checked.
- Reference
- SenseTime's SenseNova V6: China's Most Advanced Multimodal Model with the Lowest Cost in the Industry
- Last updated
- 28 November 2025
What the numbers mean
Background
SenseNova V6 was published by SenseTime, in Hong Kong, in April 2025. The organisation is categorised as industry.
It works in Multimodal, Language, Video, Vision, and is recorded as doing language modeling/generation, Quantitative reasoning, Question answering, Visual question answering, Video description, Character recognition (OCR), Code generation, Chat.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
Answers
SenseNova V6 — common questions
Who created SenseNova V6?
SenseNova V6 was published by SenseTime, based in Hong Kong, categorised as industry.
When was SenseNova V6 released?
SenseNova V6 was published in April 2025.
What is SenseNova V6 used for?
SenseNova V6 works in Multimodal, Language, Video, Vision, and is recorded as handling language modeling/generation, Quantitative reasoning, Question answering, Visual question answering, Video description, Character recognition (OCR), Code generation, Chat. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
What GPU do I need to run SenseNova V6?
None. SenseNova V6 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 SenseNova V6 open source?
No. SenseNova V6 has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does SenseNova V6 have?
SenseNova V6 has 600B parameters. "Mixture of Experts (MoE)-based multimodal general foundation model with over 600 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.
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.