Qwen2.5-Max
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
- Alibaba
- Organisation type
- Industry
- Country
- China
- Published
- 28 January 2025
- Authors
- Qwen Team
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, Code 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
- 20,000,000,000,000 tokens
"Concurrently, we are developing Qwen2.5-Max, a large-scale MoE model that has been pretrained on over 20 trillion tokens and further post-trained with curated Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) methodologies. "
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
- Record confidence
- Unknown
Sources
Where this record came from and when it was last checked.
- Reference
- Qwen2.5-Max: Exploring the Intelligence of Large-scale MoE Model
- Last updated
- 28 November 2025
What the numbers mean
About this model
Qwen2.5-Max was published by Alibaba, in China, in January 2025. It comes out of industry.
It works in Language, and is recorded as doing language modeling/generation, Question answering, Code 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
The training set ran to roughly 20,000,000,000,000 tokens.
Answers
Qwen2.5-Max — common questions
When was Qwen2.5-Max released?
Qwen2.5-Max was published in January 2025.
What is Qwen2.5-Max used for?
Qwen2.5-Max works in Language, and is recorded as handling language modeling/generation, Question answering, Code generation. These are the areas it was designed around; they describe intent rather than a hard boundary.
What GPU do I need to run Qwen2.5-Max?
None. Qwen2.5-Max 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 Qwen2.5-Max open source?
No. Qwen2.5-Max has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does Qwen2.5-Max have?
No parameter count has been published for Qwen2.5-Max, which is why no memory or speed figure appears on this page.
Who created Qwen2.5-Max?
Qwen2.5-Max was published by Alibaba, based in China, 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.