aiqbench analysis
Alibaba's Qwen3.8-Max-Preview introduces a significant scaling milestone with its claim of being the first multimodal model in the series exceeding 1 trillion parameters, though it remains an unreleased preview lacking official benchmarks or licensing terms. The strategic timing of this announcement directly counters Moonshot AI's recent release of Kimi K3, highlighting an intensifying race for parameter scale and open-weight availability among Chinese LLM developers.
Alibaba Previews Qwen3.8-Max, a 2.4 Trillion-Parameter Multimodal Model, Days After Moonshot’s Kimi K3 Open-Weight Launch
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.
On July 19, Alibaba’s Qwen team previewed Qwen3.8-Max-Preview, the next flagship in the Qwen family. The research team describes it as a 2.4 trillion-parameter model, ‘second only to Fable 5’ among the systems it benchmarked. The preview is live now. The benchmark table, model card, and license are not. The July 19th 2026 announcement landed during the World AI Conference (WAIC) in Shanghai. It also arrived two days after Moonshot AI released Kimi K3, a 2.8 trillion-parameter open-weight model. The timing is the story as much as the model. This article…
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