Qwen

A 0.6B parameter dense model from the Qwen3 family. Supports seamless switching between 'thinking' mode (complex tasks) and 'non-thinking' mode (general conversation). Trained on 36 trillion tokens across 119 languages. Features enhanced reasoning, instruction-following, agent capabilities, and multilingual support.

The latest generation Qwen model (30.5B params, 3.3B activated MoE) excels in reasoning, multilingual support, and agent tasks. Features a unique thinking/non-thinking mode switch. Supports up to 131K context with YaRN. Free tier on OpenRouter.

Qwen3-235B-A22B is a 235B parameter mixture-of-experts (MoE) model from Alibaba's Qwen team, activating 22B parameters per forward pass. Features seamless switching between 'thinking' mode (complex tasks) and 'non-thinking' mode (general conversation). Strong reasoning, multilingual (100+), instruction-following, and tool-calling. 32K context, extendable to 131K.

QwQ is the reasoning model of the Qwen series. Compared with conventional instruction-tuned models, QwQ, which is capable of thinking and reasoning, can achieve significantly enhanced performance in downstream tasks, especially hard problems. QwQ-32B is the medium-sized reasoning model, which is capable of achieving competitive performance against state-of-the-art reasoning models, e.g., DeepSeek-R1, o1-mini.