Unverified50% confidenceFactExact time
The Qwen3.8 Flash Next model has 48 layers in total, constructed by repeating "3 gated DeltaNet layers + 1 sparse injection" 12 times, containing approximately 245,000 expert instances in total, with traditional attention cache retained in only 12 layers.
1
Sources
50%
Confidence
Long-term
Relevance
10/5/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedQwen3.8-Flash-Next's MoE layers use 512 experts with Top-10 routing, a native context window of 262K, and can scale up to 1 million tokens.73% similarVerifiedThe approximately 20:1 ratio between Qwen3 Next Flash's 125 billion total parameters and 6 billion activated parameters represents a fairly aggressive sparsity design.73% similarUnverifiedQwen3.8 Flash Next has a native context window of 262K tokens, which can be extended to 1 million tokens using YaRN technology72% similarUnverifiedOn the Qwen 3.8 Flash Next model, decoding performance doubled to 52 tok/s.71% similarUnverifiedQwen3-8B Flash performs comparably to DeepSeek's 27B model, has a native context of 256K expandable to 1M, and the official website already provides an API interface with 1 million context.70% similar
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