Qwen: Qwen3.6 35B A3B

Qwen3.6 35B A3B is a multimodal model from Qwen that accepts text, image, and video inputs alongside a 262,144-token context window. It supports tool use and reasoning, which makes it usable for agentic workflows and multi-step problem solving. Structured output support is unconfirmed based on available data. At $0.14 per million input tokens and $1.00 per million output tokens, it sits in the budget-to-mid tier on price. Its blended benchmark score of 51.8 is based on only 3 benchmarks, so treat that figure as preliminary rather than definitive. Coding tasks score notably higher at 69.1, while agentic performance scores lower at 35.3, suggesting it is better suited for code-assistance work than complex autonomous task pipelines. Teams with mixed text-and-image workloads and a preference for lower input costs may find it worth shortlisting, provided they validate its output quality against their specific use case before committing.