Unverified50% confidenceFactExact time
The actual total parameter count of Mixtral-8x7B is 46.7B, while the naming multiplication of 8x7=56B would mislead hardware planning by about 20%.
1
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50%
Confidence
Long-term
Relevance
10/15/2026
First Seen
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Related Claims
VerifiedMixtral 8x7B模型拥有8个专家，每个Token只激活2个，总参数量达到47B，但单次推理的计算量仅相当于一个13B参数的稠密模型76% similarUnverifiedMixtral-8x7B achieves performance close to that of a 70B dense model with a total of 47B parameters, while offering faster inference speed73% similarVerifiedMistral AI's Mixtral 8x7B adopts a MoE architecture with a total parameter count of approximately 47B, but only approximately 13B parameters are actually activated during each inference.71% similarUnverifiedMixtral 8×22B has 141B total parameters, but only approximately 39B are activated per inference.70% similarUnverifiedMixtral 8x7B的实际激活参数量仅为总参数量的约1/470% similar
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