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Morning Edition · Sunday, August 16, 2026Published at 2:12 AM EDT · New York
Alibaba's Qwen3.8-Max Posts Agentic Benchmark Scores Within Points of Closed Frontier Models
The 2.4-trillion-parameter sparse model activates 95 billion parameters per token and lists at $2 and $6 per million input and output tokens, well below comparable closed-model rates.
Alibaba's Qwen team released Qwen3.8-Max on August 3, a mixture-of-experts (MoE) model with 2.4 trillion total parameters and 95 billion active per forward pass. It natively handles 262,144 tokens of context, extensible to roughly one milli…
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Part of a tracked trend
Chinese Open-Weight Models Emerge as the Non-US AI Stack
As Washington restricts foreign access to US frontier models, governments and enterprises cut off from American AI increasingly standardize on downloadable Chinese open-weight models, splitting the world into competing AI supply blocs rather than a single frontier.
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