SenseChat 5.5
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
- 6 July 2024
- Authors
- SenseTime
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Multimodal, Language, Vision
- Task
- Vision-language generation, Visual question answering, Language modeling/generation, Question answering, Chat, Quantitative reasoning
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
https://en.tmtpost.com/post/7159076
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.
- Why it is tracked
- SOTA improvement
- Record confidence
- Confident
Best score on SuperCLUE总排行榜（2024年12月）- SuperCLUE general benchmak from Dec 2024 (https://www.superclueai.com/) in terms of "liberal arts" evaluation.
Sources
Where this record came from and when it was last checked.
- Reference
- SenseTime Unveils SenseNova 5.5 - a Complete and Comprehensive Upgrade
- Last updated
- 28 November 2025
What the numbers mean
Where it came from
SenseChat 5.5 was published by SenseTime, in Hong Kong, in July 2024. industry is the category the publisher falls under.
It works in Multimodal, Language, Vision, and is recorded as doing vision-language generation, Visual question answering, Language modeling/generation, Question answering, Chat, Quantitative reasoning.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
Training and provenance
Its inclusion criterion is sOTA improvement.
Answers
SenseChat 5.5 — common questions
Is SenseChat 5.5 open source?
No. SenseChat 5.5 has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does SenseChat 5.5 have?
SenseChat 5.5 has 600B parameters. https://en.tmtpost.com/post/7159076. 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 5.5?
SenseChat 5.5 was published by SenseTime, based in Hong Kong, categorised as industry.
When was SenseChat 5.5 released?
SenseChat 5.5 was published in July 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 5.5 used for?
SenseChat 5.5 works in Multimodal, Language, Vision, and is recorded as handling vision-language generation, Visual question answering, Language modeling/generation, Question answering, Chat, Quantitative reasoning. 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.
What GPU do I need to run SenseChat 5.5?
None. SenseChat 5.5 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.