Qwen3.8-Max & 2.4T-A95B 🌐 (Alibaba Cloud) Review (2026)

2.4-Trillion parameter open MoE featuring Gated DeltaNet linear attention and 95B activated parameters.

Advantages (Pros)

• ✓ Hybrid Gated DeltaNet + MoE architecture achieves sub-quadratic memory scaling across long prompts
• ✓ Dynamic thinking control via reasoning_effort and session-persistent preserve_thinking flags
• ✓ 1M default context length with state-of-the-art SWE-Bench and Terminal Bench ratings
• ✓ Direct integration with vLLM, SGLang, TokenSpeed, and official qwen-code terminal agent

Considerations (Cons)

• ✗ 2.4T total parameters require distributed multi-node clusters or FP8 quantization for self-hosting
• ✗ Custom open-model commercial redistribution terms under Qwen3.8-Max license