Alibaba Just Gave Away Its Best AI Model For Free, Almost Matching Claude and ChatGPT

Abstract:Alibaba released Qwen3.8-Max, its most capable model yet, with 2.4 trillion total parameters and 95 billion active at once; open weights arrive next week on Hugging Face and ModelScope, a first for a Max-scale model. On Alibaba‘s benchmark table, Anthropic’s Fable 5 wins 15 of 31 text tests and OpenAIs GPT-5.6 Sol wins nine, while Qwen takes seven; it wins just one of 12 coding tests. However, Qwen leads most multimodal benchmarks and costs roughly 30% of Fable 5. It ships with instructions for Claude Code and Codex, and its release reflects a strategic pivot: open distribution over benchmark supremacy, amid export controls and the rise of Chinese open-weight models.

In brief

  • Qwen3.8-Max runs 2.4 trillion parameters and is the first Max-class Qwen model Alibaba will release as open weights.
  • It ships with setup instructions for Anthropic's Claude Code and OpenAI's Codex—rival tools.
  • On Alibaba's own benchmark table, Fable 5 wins 15 of 31 tests. Qwen3.8-Max wins seven.

Alibaba released Qwen3.8-Max on Monday, calling it the most capable model it has ever built. The weights land on Hugging Face and ModelScope next week—the first time the company has given away a model at Max scale.

The specs are big: 2.4 trillion parameters total, with 95 billion switched on at any moment. Parameters are the number of dials a model is able to handle.

This is extremely important for efficiency as it means it would not require too much resources to run. Think of it as a huge library where only the relevant shelf lights up for each question. Small businesses and labs with good enough hardware are now able to run a state-of-the-art model without spending the same as a huge datacenter.

Alibaba's release post skips the usual benchmark-chasing narrative and leans on endurance instead. The model spent 16 days building a coding tool by itself—265 commits, 127 pull requests, 151 issues, no human touching the keyboard. It spent five days reproducing a research paper it had never seen code for, then beat the paper's own results by 2.7 points. In a 24-hour machine learning contest, it finished ahead of 458 of 526 human teams.

Built to run inside a rival's tools

Qwen3.8-Max ships with instructions for Claude Code and Codex, the coding tools made by Anthropic and OpenAI. Alibaba's API speaks both companies' protocols. Most of its coding benchmarks were run inside Claude Code.

And those benchmarks don't flatter it. Across 31 text tests, Anthropic's Fable 5 takes 15 first place spots, OpenAI's GPT-5.6 Sol takes nine, Qwen takes seven. On the 12 coding tests, Qwen wins exactly one. However, in terms of intelligence costs, this model is extremely cheap and efficient, which means that even if it requires more iterations or reasoning, the cost of getting the job done will be much lower, nearly 30% of what Claude Fable 5 charges.

That said, flip to multimodal work—documents, video, spatial reasoning—and the rankings invert. Qwen leads most of that table.

There is also a reversal in terms of business strategy. In April, Alibaba killed the free tier of Qwen Code, with the team drifting toward closed, paid models after leadership departures. Our review of Qwen 3.7 Max noted the Plus version would be open while Max stayed locked behind the API.

So Alibaba is losing on paper and winning on distribution. If you can download something that comes close for free, second place is a fine place to be.

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