Qwen3.6 35B A3B dominates local agentic AI—3x more reliable than rivals

A Reddit user's extensive testing reveals that Qwen3.6 35B A3B, a Mixture-of-Experts model quantized to IQ4_NL by Unsloth, is currently the most reliable local AI for agentic tasks. Compared to alternatives like Gemma4 and GLM 4.7 Flash REAP, Qwen3.6 suffers from far fewer tool-call failures and loops. The user reports that Gemma4 produced 'broken tool calls occasionally' and GLM 4.7 couldn't manage more than 2-3 messages before entering infinite loops. Qwen3.6, in contrast, only occasionally loops, making it a practical choice for autonomous workflows. The model is being used with Hermes Agent and Pi frameworks, demonstrating strong real-world agent performance.

Key technical details include the 35B total parameter count (3B active) typical of MoE architecture, and the use of Unsloth's optimized quants for local deployment. While not perfect, Qwen3.6's combination of stability, speed, and tool-calling accuracy positions it as a leader in the sub-50B local agent space. The user explicitly seeks similarly-sized MoE alternatives but notes none have matched Qwen3.6's reliability.