# Enhanced Reasoning

Qwen3 is the latest generation of large language models in the Qwen series, offering a range of dense and mixture-of-experts (MoE) models. Based on extensive training, Qwen3 has achieved groundbreaking progress in reasoning, instruction following, agent capabilities, and multilingual support.

Qwen3 is the latest generation of the Tongyi Qianwen series of large language models, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Based on large-scale training, Qwen3 has achieved breakthrough progress in reasoning, instruction following, agent capabilities, and multilingual support.

Qwen3-0.6B is the latest 0.6B-parameter large language model in the Qwen series, supporting switching between thinking and non-thinking modes, with exceptional reasoning, instruction-following, and agent capabilities.

Qwen3-32B-AWQ is the latest 32.8B-parameter large language model in the Qwen series, employing AWQ 4-bit quantization technology, supporting switching between thinking and non-thinking modes, with exceptional reasoning, instruction following, and agent capabilities.

Qwen3 is the latest generation of large language models in the Tongyi Qianwen series, offering a complete combination of dense models and Mixture-of-Experts (MoE) models. Based on large-scale training, Qwen3 achieves breakthrough progress in reasoning, instruction following, agent capabilities, and multilingual support.

Kyro-n1.1 is an enhanced version of Kyro-n1, built upon Qwen2.5-7B-Instruct, with optimized reasoning capabilities, comprehension, and response accuracy.

A reinforced reasoning model based on the Llama-3.2-3B-Instruct architecture, excelling in mathematical analysis, logical reasoning, and structured data comprehension.

Kyro-n1.1 is an enhanced version of Kyro-n1, built upon Qwen2.5-7B-Instruct, with optimized reasoning capabilities, comprehension, and response accuracy.