GLM-4.6 vs Phi-3.5-MoE Instruct

Zhipu AI

GLM-4.6, released by Zhipu AI in September 2025, is a large language model with approximately 357 billion parameters from the GLM-4 family, featuring an expanded 200K token context window. It supports strong mathematical reasoning, coding, and agentic orchestration tasks. GLM-4.6 targets enterprise-ready open-source deployments under an MIT license, with availability through Zhipu AI's Z.ai platform.

Phi-3.5-MoE Instruct

Microsoft

Phi-3.5-MoE-instruct is a sparse mixture-of-experts model from Microsoft's Phi research team, released in August 2024 with 42 billion total parameters across 16 experts and approximately 6.6 billion active parameters per forward pass. The model applies Microsoft's small-data, high-quality training philosophy — developed across earlier Phi generations — to a MoE architecture, targeting reasoning quality comparable to much larger dense models at a fraction of the inference compute. Released under the MIT license, it was notable in the research community for demonstrating that MoE efficiency gains could be realized at smaller total parameter counts than typical large-scale MoE deployments.