@ChiragAsarpota: Bro this so HUGE for open models Even Qwen finally folded and is open-weighting a Max model. They never opened any of t…

X AI KOLs Timeline Models

Summary

Qwen announces Qwen3.8-Max, a 2.4T parameter model, will be released with open weights next week, along with the Qwen3.8-27B, marking a major push for open-source AI and potentially competitive with top proprietary models.

Bro this so HUGE for open models Even Qwen finally folded and is open-weighting a Max model. They never opened any of the previous Max releases. Chinese labs are clearly taking advantage of Anthropic's recent PR mess and going all-in on open weights. The message is loud: they want Chinese open models to dominate globally. Qwen3.8-Max is massive at 2.4T parameters, we now have multiple open models in SOTA territory and competing with models like GPT-5.6 Sol and Opus 4.8 But honestly, the model to watch next week is Qwen3.8-27B Qwen3.6-27B was already one of the best local models you could run. A major upgrade at the same size could be an absolute game changer for local AI.
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Cached at: 08/03/26, 07:40 AM

Bro this so HUGE for open models

Even Qwen finally folded and is open-weighting a Max model. They never opened any of the previous Max releases.

Chinese labs are clearly taking advantage of Anthropic’s recent PR mess and going all-in on open weights. The message is loud: they want Chinese open models to dominate globally.

Qwen3.8-Max is massive at 2.4T parameters, we now have multiple open models in SOTA territory and competing with models like GPT-5.6 Sol and Opus 4.8

But honestly, the model to watch next week is Qwen3.8-27B

Qwen3.6-27B was already one of the best local models you could run. A major upgrade at the same size could be an absolute game changer for local AI.

Qwen (@Alibaba_Qwen): 📢Meet Qwen3.8-Max — our most capable model to date.

Next week, the open weights of Qwen3.8-Max will be released, and Qwen3.8-27B is also going open-weights to meet you all!🎉

Qwen3.8-Max, a new bar for coding and cowork at 2.4T parameters:

  • Autonomous coding: 10+ days of

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