Qwen: Qwen3.5-27B

Qwen3.5-27B is a model from Qwen that accepts text, image, and video inputs and returns text. It offers a 262,144-token context window with up to 81,920 completion tokens per response, which leaves room for long documents, extended transcripts, or multi-step outputs. The model supports tool calling and a reasoning mode. The available data does not confirm whether it supports structured output or whether its weights are open, so verify both if your workflow depends on them. Pricing is $0.26 per million input tokens and $2.60 per million output tokens. Output costs ten times as much as input, so the model is cheapest for input-heavy work such as analyzing long or multimodal material with concise answers. Its blended benchmark score of 55.6 rests on a single independent benchmark, so its standing is thinly evidenced. Teams that need video input, long context, and tool use at a low input price should shortlist it, but they should test it on their own tasks before committing.