Qwen: Qwen3 235B A22B Instruct 2507

This model is a multilingual, instruction-tuned language system built on a mixture-of-experts architecture. It utilizes 235 billion total parameters, with 22 billion active parameters per forward pass, distributed across 128 experts of which 8 are activated during processing. Designed for general-purpose utility, it excels in complex tasks such as logical reasoning, mathematical problem-solving, coding, and tool usage. By operating in a non-thinking mode, it provides direct, efficient responses without generating internal thought blocks, making it a reliable choice for applications requiring high-quality text generation and precise instruction following.

Developed through comprehensive pre-training and post-training stages, the model features 94 layers and utilizes grouped-query attention with 64 heads for queries and 4 for key-value pairs. These design choices contribute to its significant gains in long-tail knowledge coverage and its ability to maintain coherence across extensive document lengths. It demonstrates strong performance in benchmarks like Arena-Hard and WritingBench, reflecting its refined alignment with user preferences for open-ended tasks. Its combination of deep multilingual understanding and robust reasoning makes it well-suited for enterprise applications, research, and the development of intelligent assistants.