Qwen3 235B A22B Thinking

Qwen3-235B-A22B-Thinking is a causal language model built as a purpose-driven reasoning engine within the Qwen3 family. It utilizes a Mixture-of-Experts architecture with 235 billion total parameters, activating only 22 billion per token to balance high-level analytical depth with efficient compute usage. Designed specifically for tasks that demand rigorous logic over rapid responses, the model operates in a dedicated thinking mode. This architecture allows it to process complex information through a native 262K-token context window, making it well-suited for analyzing large project repositories, extensive documentation, or intricate multi-step workflows.

The model underwent extensive pre-training and post-training to refine its ability to handle complex reasoning, mathematics, science, and coding tasks. By employing a structured approach that wraps its step-by-step analysis inside specific tags, it provides transparent auditing for agentic workflows, including planning, reflection, and tool orchestration. This focus on deep analysis and alignment with human preferences has established it as a leader among open-source thinking models. Its design prioritizes meticulous problem-solving, offering a robust solution for developers and organizations that require a reliable, auditable engine for highly complex, multi-stage computational challenges.