Alibaba's Rumored Qwen3.8-Max: 2.4T Parameter MoE with 1M Context
rohanpaul_ai · x · 2026-08-09
Rumors suggest Alibaba has released Qwen3.8-Max. The model uses a Sparse Mixture-of-Experts (MoE) architecture with 2.4 trillion total parameters, activating only about 95 billion per token to balance vast knowledge storage with compute efficiency.
Key Specs & Pricing:
- Context Window: Supports 1 million tokens, with max single replies up to 131,072 tokens and a private thinking budget of 262,000 tokens.
- API Pricing: Priced at $2.00 per million input tokens and $6.00 per million output tokens. Cached reads drop to $0.17 per million tokens, significantly lowering costs for reusing stable prompt prefixes.
The model also shows strong performance on benchmarks like Terminal Bench 2.1, which evaluates real command-line driving capabilities.
Related event: Rumors Claim Alibaba Released Qwen3.8-Max(2 posts)→
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