Qwen: Qwen3.5-9B

Qwen3.5-9B is a model from Qwen that accepts text, image, and video inputs. It offers a 262,144-token context window and up to 235,929 completion tokens, so long documents or extended outputs can fit in a single request. It supports tool calling and reasoning; the available data does not confirm structured output support. At $0.17 per million input tokens and $0.25 per million output tokens, it sits at a low price point, which makes it worth shortlisting for high-volume or long-context workloads where cost is a deciding factor. Its benchmark record is limited, with a blended score of 31.3 across three benchmarks, and the results are uneven: 47.3 on the coding index, 35.4 on the general index, and 12.2 on the agentic index. Teams that want inexpensive coding help may find it a reasonable candidate. Those building multi-step agents should test it carefully before committing.