Qwen: Qwen3.5-9B

Qwen3.5-9B is a multimodal model from Qwen that accepts text, image, and video inputs with a context window of 262,144 tokens and a matching maximum output length. It supports tool use and reasoning, which makes it suitable for agentic workflows and multi-step tasks. Structured output support is not confirmed in available documentation, so developers who depend on guaranteed JSON schemas should verify that capability before committing. At $0.10 per million input tokens and $0.15 per million output tokens, Qwen3.5-9B sits at the budget end of the market. Its blended benchmark score of 40.0 covers only two benchmarks, so its standing across broader evaluations is unproven; the coding-specific score of 47.3 is the more reliable signal available. Teams running high-volume pipelines that need video and long-context support on a tight budget may find it worth testing, but those prioritizing well-benchmarked reliability should weigh the limited coverage carefully.