Qwen3 32B (Reasoning)

Qwen3 32B is a dense large language model developed by Alibaba Cloud and released as part of the Qwen3 series. It is characterized by its hybrid reasoning architecture, which allows for seamless switching between a "thinking mode"—designed for complex logical reasoning, mathematics, and coding—and a "non-thinking mode" for efficient, general-purpose conversation. In thinking mode, the model generates intermediate chain-of-thought steps wrapped in specialized tags to increase transparency and accuracy in problem-solving.

Built on a transformer-based framework, the model contains 32.8 billion parameters and was trained on approximately 36 trillion tokens across 119 languages and dialects. Its architecture incorporates 64 layers and Grouped Query Attention (GQA) to optimize inference speed and memory usage. The model supports a native context window of 32,768 tokens, which can be extended to 131,072 tokens using YaRN scaling techniques.

Qwen3 32B is released under the Apache 2.0 license, facilitating broad use in both research and commercial applications. It demonstrates high performance in agentic tasks, instruction following, and multilingual understanding, performing competitively on benchmarks such as AIME and LiveCodeBench.