Doubao-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
- ByteDance
- Organisation type
- Industry
- Country
- China
- Published
- 28 October 2024
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, Text summarization, Text classification
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
- 500B
- Training data
- 8,350,000,000,000 tokens
[Speculative] Doubao's large language model has scaled up from 35 billion parameters to 800 billion, with 500 billion and 800 billion parameter models currently under training. https://xueqiu.com/9637001584/309910396?md5__1038=7qmx2DyDuie4cDBqDTQEWqDtMvO4iTphD
[Speculative] Doubao's pre-training data volume is approximately 500TB, with only about 10% of this data actually used for training. The current version employs a non-Mixture-of-Experts (MoE) architecture. In the future, MoE architecture may be introduced to increase parameter count and performance, while also integrating multimodal data solutions. So this model is dense, and the training data is probably all text tokens, not multimodal. 50TB * 167M tokens/GB ~= 8.35 trillion tokens
Training compute
The arithmetic performed to train the model, measured in floating-point operations. It is a measure of what the training run cost, not of how fast the finished model answers you.
- Training compute
- 2.5 × 10²⁵ FLOP
- How it was established
- Operation counting
6ND = 6 * 500*10^9 * 8350*10^9 = 2.505e+25
The training run
What it physically took to train: which chips, how many, for how long, and what that drew from the wall.
- Data centre
- There is no paper to reference, also no information in media.
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.
- Likely above 10²³ FLOP
- Yes
- Why it is tracked
- Training cost
- Record confidence
- Likely
Sources
Where this record came from and when it was last checked.
- Reference
- Doubao General Model Pro (Doubao-pro)
- Last updated
- 10 February 2026
What the numbers mean
Where it came from
Doubao-pro was published by ByteDance, in China, in October 2024. It comes out of industry.
It works in Language, and is recorded as doing language modeling/generation, Question answering, Text summarization, Text classification.
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
Producing it required around 2.5 × 10²⁵ FLOP of arithmetic, which is a statement about the training budget rather than about inference.
The training set ran to roughly 8,350,000,000,000 tokens.
The reason it appears in this catalogue at all is training cost.
Answers
Doubao-pro — common questions
Is Doubao-pro open source?
No. Doubao-pro has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does Doubao-pro have?
Doubao-pro has 500B parameters. [Speculative] Doubao's large language model has scaled up from 35 billion parameters to 800 billion, with 500 billion and 800 billion parameter models currently under training. https://xueqiu.com/9637001584/309910396?md5__1038=7qmx2DyDuie4cDBqDTQEWqDtMvO4iTphD. 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 Doubao-pro?
Doubao-pro was published by ByteDance, based in China, categorised as industry.
When was Doubao-pro released?
Doubao-pro was published in October 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 Doubao-pro used for?
Doubao-pro works in Language, and is recorded as handling language modeling/generation, Question answering, Text summarization, Text classification. These are the areas it was designed around; they describe intent rather than a hard boundary.
How much compute was used to train Doubao-pro?
Around 2.5 × 10²⁵ FLOP. That measures what producing the model cost and says nothing about how quickly it answers once trained — inference speed comes from memory bandwidth, not from the training budget.
What GPU do I need to run Doubao-pro?
None. Doubao-pro 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.