# Alibaba Open-Sources Qwen3.8-Max, Its Most Powerful Model at 2.4 Trillion Parameters

> Alibaba has released Qwen3.8-Max, which it calls its most powerful model yet and, at 2.4 trillion parameters, now the largest open-weight model from a Chinese company. It uses a mixture-of-experts architecture that activates around 95 billion parameters for any given query, so the effective cost per token stays far below what the headline parameter count suggests, and it supports a context window of up to one million tokens. The weights went up on Hugging Face and ModelScope by August 10. Alibaba backs the release with some striking claims about autonomy, saying the model completed a 16-day coding project and a chip design workflow of more than 500 steps on its own. Those are the kind of long-horizon tasks that separate a chatbot from an agent. The bigger story is strategic. While several US labs keep their strongest systems closed, Chinese labs are shipping frontier-scale models with open weights, and doing it at a rapid cadence. That pushes the open-source frontier forward and hands smaller builders capabilities they could never train themselves.

_Section: [Daily AI Updates](https://www.wortins.com/daily-ai) · Source: Open Source For You · Published Sunday, August 23, 2026_

## Wortins' read

Alibaba has released Qwen3.8-Max, which it calls its most powerful model yet and, at 2.4 trillion parameters, now the largest open-weight model from a Chinese company. It uses a mixture-of-experts architecture that activates around 95 billion parameters for any given query, so the effective cost per token stays far below what the headline parameter count suggests, and it supports a context window of up to one million tokens. The weights went up on Hugging Face and ModelScope by August 10. Alibaba backs the release with some striking claims about autonomy, saying the model completed a 16-day coding project and a chip design workflow of more than 500 steps on its own. Those are the kind of long-horizon tasks that separate a chatbot from an agent. The bigger story is strategic. While several US labs keep their strongest systems closed, Chinese labs are shipping frontier-scale models with open weights, and doing it at a rapid cadence. That pushes the open-source frontier forward and hands smaller builders capabilities they could never train themselves.

## Source

[Read the full story at Open Source For You](https://www.opensourceforu.com/2026/08/alibaba-debuts-frontier-scale-open-source-qwen3-8-max/)

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