Qwen3.5-4B challenges Qwen2.5-7B for Home Assistant

On paper, Qwen3.5-4B is the better Home Assistant bet, but the win is about architecture and agent tuning, not just size.

• –Qwen2.5-7B-Instruct already supports tool calling, but Qwen3.5-4B is the newer multimodal/agentic play, with a vision encoder, 262K native context, and explicit tool-use support: https://huggingface.co/Qwen/Qwen3.5-4B https://qwenlm.github.io/blog/qwen2.5/
• –The card includes image, video, and text examples, so the multimodal part is real; that matters if your automations ever ingest snapshots, dashboards, or camera frames: https://huggingface.co/Qwen/Qwen3.5-4B
• –On a 12GB RTX 3060, the smaller model should leave more room for KV cache and reduce memory pressure, which is exactly the kind of headroom Home Assistant workloads need.
• –Qwen3.5's benchmark tables include agent/tool-calling evals like BFCL-V4, TAU2-Bench, and TIR-Bench, and Product Hunt's Qwen3.5 Small launch frames 4B as a lightweight agent base: https://www.producthunt.com/posts/qwen3-5-small
• –The caveat is still the important bit: Home Assistant reliability will depend on prompt format, tool schema, and parser choice, so treat this as a likely improvement, not a guaranteed win.