Qwen3 235B A22B Instruct 2507

A 235-billion-parameter mixture-of-experts model from Alibaba that activates 22 billion parameters per token, designed for instruction-following tasks with a 262k-token context window.

Strengths

Handles long-context tasks with a quarter-million-token window while maintaining efficiency through sparse activation that keeps per-token computation lower than its dense parameter count would suggest.

Best for

General-purpose instruction-following across long documents, reports, and multi-turn conversations where both depth and extended context matter.

Limitations

Not optimized for extended reasoning like its Thinking variant, nor for code-heavy workloads like the Coder 480B A35B; smaller 30B variants and faster Flash models handle resource-constrained or code-specific scenarios better.