Alibaba drops 2.4T Qwen3.8 preview with no active params and no license yet

Alibaba’s Qwen team dropped a teaser for Qwen3.8-Max-Preview on July 19, a 2.4 trillion-parameter multimodal model it calls second only to Fable 5 in its own benchmarks. The timing is as loud as the announcement—it landed during the World AI Conference in Shanghai, just two days after Moonshot AI released its competing 2.8 trillion-parameter Kimi K3. The message is clear: the open-weight race between Chinese labs isn’t cooling off.

The preview is real and purchasable through Alibaba’s Token Plan subscription at a 10% introductory discount. Qwen developer Shuai Bai confirmed it’s the team’s first model above a trillion parameters to handle text, images, video, and documents. But the benchmarks that make the “second only to Fable 5” claim aren’t public. Neither is the model card, the license, or—crucially—the active parameter count. That last omission is the one that matters. Qwen’s own history with sparse Mixture-of-Experts designs means a 2.4T total could activate a fraction of that per token, which changes the serving math completely.

Community reaction split into three camps. Hacker News saw the move as a direct counterpunch to Kimi K3, with some calling Qwen a benchmark specialist. Reddit’s r/LocalLLaMA crowd did the practical math and immediately asked for a distilled variant that might actually fit on a workstation. On X, large accounts amplified the “open-weight soon” promise, pushing the announcement into trending territory. The mood is cautiously positive—pro competition, but nobody’s migrating production workloads yet.

Before anyone should, five things need to land: an official benchmark table, the active-parameter number, a Hugging Face repo with a real license, published API pricing, and independent evals from the usual suspects. Until then, it’s a teaser with a discount, not a reason to reroute traffic. Test it on your own workload and keep production where it is. A launch number never beats your own eval.