# Long text reasoning

QwenLong-L1-32B is a large language model designed for long context reasoning. It is trained through reinforcement learning and performs excellently in multiple long context question answering benchmark tests, capable of effectively handling complex reasoning tasks.

Phi-4-reasoning is an advanced reasoning model fine-tuned based on Phi-4. Through supervised fine-tuning and reinforcement learning, it demonstrates excellent reasoning abilities in fields such as mathematics, science, and coding.

Qwen3-14B is the latest large language model in the Tongyi Qianwen series, with 14.8 billion parameters. It supports the switching between thinking and non-thinking modes and performs excellently in reasoning, instruction following, and intelligent agent capabilities.