Unverified50% confidenceFactExact time
4.1 Flash adopts a structure with different input activation parameters and output activation parameters, with input activation parameters reduced by 40% and output activation parameters increased by 20%.
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50%
Confidence
Long-term
Relevance
9/11/2026
First Seen
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Related Claims
UnverifiedThe per-token inference cost of Flash models is typically one order of magnitude lower than that of Pro-level models.65% similarUnverifiedQwen3.8 Flash Next has a sparsity rate of approximately 95%, using less than 5% of its parameters per inference.65% similarUnverified模型量化（将权重从FP16压缩为INT8或INT4）虽然在大多数基准测试上性能损失很小，但某些特定token生成概率可能发生显著变化，导致边缘情况下产生不同输出57% similarUnverifiedIt is widely speculated in the industry that Flash's parameter scale is approximately one-third to one-half that of Pro.57% similarUnverifiedThe ratio of input to output tokens surged from 4.52:1 to 13:1.56% similar
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