Alibaba Previews Qwen3.8-Max, a 2.4 Trillion-Parameter Multimodal Model, Days After Moonshot’s Kimi K3 Open-Weight Launch
MarkTechPost Asif Razzaq ● Covered by 5 sources
Alibaba previewed Qwen3.8-Max-Preview, described as a 2.4 trillion-parameter multimodal model, during Shanghai's World AI Conference on July 19, 2026, two days after Moonshot AI released its 2.8 trillion-parameter Kimi K3 model. The preview is available now at 10% standard pricing through Alibaba's Token Plan subscription, but the full model card, benchmark table, and open-weight release date remain unpublished. Without disclosure of active parameters per token—the actual number of parameters used per inference—the real serving cost and practical value of the model cannot be assessed, leaving developers dependent on unverified performance claims.
Why it matters
Alibaba's Qwen team previewed Qwen3.8-Max-Preview, a 2.4 trillion-parameter multimodal MoE model it calls "second only to Fable 5." The preview is live on Token Plan, Qoder, and QoderWork at 10% of standard pricing. What is not live: any benchmark table, model card, license, per-token price, or active-parameter count. This breakdown separates what Alibaba confirmed from what it only claimed. The post Alibaba Previews Qwen3.8-Max, a 2.4 Trillion-Parameter Multimodal Model, Days After Moonshot’s Kimi K3 Open-Weight Launch appeared first on MarkTechPost.
Also covered by
- The Neuron — Alibaba previews 2.4 trillion parameter Qwen3.8-Max model for open release
- The Neuron — Artificial Analysis Reports Kimi K3 Token Efficiency
- The Neuron — Moonshot's Kimi K3 Open Model Released
- MarkTechPost — Moonshot AI Releases Kimi K3: A 2.8 Trillion Parameter Open MoE Model With Kimi Delta Attention and 1M Context
