Unverified50% confidenceFactExact time
The Qwen3 Max version adopts a MoE architecture with approximately 2.4 trillion parameters, roughly 4 times that of DeepSeek 671B.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/1/2026
First Seen
Valid until: 12/30/2026
Sources
Related Entities
Related Claims
UnverifiedQwen3.8-Max-0902 uses a Mixture-of-Experts (MoE) architecture with 2.4T parameters and supports a context length of 128K.78% similarUnverifiedLlama, Qwen, and DeepSeek all offer versions at various parameter scales ranging from 1.5B to over 70B72% similarUnverifiedQwen2 7B模型（70亿参数）运行约需6GB显存70% similarUnverifiedThe Qwen 3.8 Max 27B version is a traditional dense model, suitable for high-performance desktops or servers.69% similarUnverifiedLocal deployment of the 2.4-trillion-parameter Qwen3.8 requires approximately 1.4–1.5 TB of GPU memory, necessitating quantization or a multi-GPU cluster.69% similar
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