Which Routing Does Each MoE Model Use? DeepSeek, Qwen, Mixtral, Llama 4, gpt-oss Compared

MarkTechPost published a config-verified comparison of how 10 open mixture-of-experts models route tokens, covering total and active parameters, expert counts, top-k selection, shared experts, gating functions and load-balancing methods across DeepSeek, Qwen, Mixtral, Llama 4 and gpt-oss. The comparison documents the routing architectures each model family uses, giving builders a reference for how sparse activation is configured across the open MoE landscape.

A config-verified comparison of how 10 open MoE models route tokens: total and active parameters, expert counts, top-k, shared experts, gating functions and load-balancing methods. The post Which Routing Does Each MoE Model Use? DeepSeek, Qwen, Mixtral, Llama 4, gpt-oss Compared https://www.marktechpost.com/2026/11/08/moe-model-routing-comparison/ appeared first on MarkTechPost https://www.marktechpost.com .