Qwen3.6-35B-A3B

Qwen3.6-35B-A3B is an open-source Mixture-of-Experts (MoE) large language model that achieves frontier-level performance on agentic coding, mathematical reasoning, and multimodal understanding while activating only 3B of its 35B total parameters per token. This sparse architecture delivers the throughput of a 3B model with the capability of much larger dense models, making it ideal for deployment on consumer GPUs or as a high-throughput API backend. Designed for both standalone inference and integration into agent systems, Qwen3.6-35B-A3B supports flexible deployment via the Qwen framework, including Docker-based inference servers and direct Python usage. It excels at code generation, tool calling, and visual understanding tasks (when paired with a vision encoder), rivalling models many times its size. The model is released under the permissive Apache 2.0 license, allowing unrestricted use, modification, and distribution – even for commercial products. It is available immediately from Hugging Face and the official Qwen GitHub repository. Developers and researchers can fine-tune it, run it locally, or use the hosted API on the Qwen platform. For users who need strong reasoning and coding capabilities without the hardware demands of dense 70B+ models, Qwen3.6-35B-A3B offers an unmatched efficiency frontier. It represents a significant step toward democratizing advanced AI by reducing the compute required for state-of-the-art performance.