Unverified60% confidenceFactTime unknown
Typical representatives of the MoE architecture include Mixtral 8x7B and DeepSeek-V2.
2
Sources
60%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedRecently popular models such as DeepSeek-V2/V3 and Qwen2-MoE all adopt the MoE architecture.79% similarVerifiedDeepSeek-V4.1-Flash adopts a MoE (Mixture of Experts) backbone architecture with 552B parameters.77% similarUnverifiedDeepSeek-R1-Distill-Qwen-32B is based on Qwen-2.5-32B and was derived by distilling knowledge from the full 671B MoE architecture model.72% similarUnverifiedMoE is a sparse activation architecture; DeepSeek V3 has 256 experts but activates only 8 at a time.71% similarUnverifiedMixtral 8x7B was the first open-source MoE model to attract widespread industry attention, using 8 7B experts (46.7B total parameters, 12.9B activated) to achieve performance close to Llama 2 70B.69% similar
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