Qwen: Qwen3 235B A22B

Qwen3 235B A22B is a text-in, text-out model from Qwen with a 128K context window and a maximum of 8,192 output tokens per response. It supports tool use and reasoning, making it applicable to agentic workflows and multi-step problem solving. Structured output support is unconfirmed based on available data, so developers who depend on guaranteed JSON schemas should verify this before committing. At $0.455 per million input tokens and $1.82 per million output tokens, it sits in a mid-range price bracket for large models. Its blended benchmark score of 66.4 rests on a single benchmark (aider_polyglot at 59.6), which is a thin evidence base; treat performance claims cautiously until broader coverage emerges. Teams running coding-heavy or tool-augmented workloads on a moderate budget may find it worth testing, but those needing well-validated cross-domain performance should weigh the limited benchmark coverage carefully.