Is Qwen3.6 current king for local agentic use?
Summary
A user reports that Qwen3.6 35B A3B outperforms other local models like Gemma4 and GLM 4.7 Flash REAP for agentic tasks, though occasional loops still occur.
Similar Articles
Qwen 35b a3b surprises me
User reports positive experience with Qwen 35b a3b for agentic coding tasks, noting it outperforms Gemma4 26b in their use case and works well for demo/data analytics, especially in agentic mode versus chat.
I tested Qwen3.6-27B, Qwen3.6-35B-A3B, Qwen3.5-27B and Gemma 4 on the same real architecture-writing task on an RTX 5090
A hands-on benchmark of four local LLMs—Qwen3.6-27B, Qwen3.6-35B, Qwen3.5-27B and Gemma 4—on a 20k-token architecture-writing task shows Qwen3.6-27B delivering the best overall balance of clarity, completeness and usefulness on an RTX 5090.
Qwen 3.6 27B is the sweet spot for local development
Qwen 3.6 27B is praised as a powerful local AI model that outperforms expectations for general intelligence, suitable for practical tasks like code generation, and runs easily with llama.cpp.
Qwen3.8-27B Q6 is a beast at agentic coding
User feedback indicates that Qwen3.8-27B Q6 demonstrates high performance in agentic coding tasks, maintaining 60-63 tokens/s over 20 hours on dual NVIDIA GPUs.
Return of the local King! Qwen3.8-27B performance chart
Qwen3.8-27B is a new locally-runnable model that reportedly outperforms previous local models and rivals Opus4.6, with benchmark charts shared and links to ModelScope and HuggingFace.