ERNIE 4.0
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
- Baidu
- Organisation type
- Industry
- Country
- China
- Published
- 17 October 2023
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Multimodal, Language, Video, Image generation
- Task
- Chat, Language modeling/generation, Video generation, Image 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.
- Training data
- tokens
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
"ERNIE 4.0 is now accessible to invited users on ERNIE Bot, and the API will be available upon application to enterprise clients via Qianfan foundation model platform."
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Foundation model
- Yes
- Likely above 10²³ FLOP
- Yes
- Why it is tracked
- Significant use
- Record confidence
- Unknown
Likely SOTA for Mandarin? But very little info available. Lots of users (https://www.cnn.com/2023/12/15/tech/gpt4-china-baidu-ernie-ai-comparison-intl-hnk/index.html): "Baidu says ERNIE has racked up 70 million users. That’s compared with 150 million users for ChatGPT, according to an estimate from Similarweb, a digital data and analytics company."
Sources
Where this record came from and when it was last checked.
- Reference
- Baidu Launches ERNIE 4.0 Foundation Model, Leading a New Wave of AI-Native Applications
- Last updated
- 28 November 2025
What the numbers mean
Background
ERNIE 4.0 was published by Baidu, in China, in October 2023. The organisation is categorised as industry.
It works in Multimodal, Language, Video, Image generation, and is recorded as doing chat, Language modeling/generation, Video generation, Image generation.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
What went into building it
Its inclusion criterion is significant use.
Answers
ERNIE 4.0 — common questions
How many parameters does ERNIE 4.0 have?
No parameter count has been published for ERNIE 4.0, which is why no memory or speed figure appears on this page.
Who created ERNIE 4.0?
ERNIE 4.0 was published by Baidu, based in China, categorised as industry.
When was ERNIE 4.0 released?
ERNIE 4.0 was published in October 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.
What is ERNIE 4.0 used for?
ERNIE 4.0 works in Multimodal, Language, Video, Image generation, and is recorded as handling chat, Language modeling/generation, Video generation, Image generation. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
What GPU do I need to run ERNIE 4.0?
None. ERNIE 4.0 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 ERNIE 4.0 open source?
No. ERNIE 4.0 has not had its weights published, so it exists only as a service controlled by its owner.
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.