DGX Spark users back Qwen 3.5

This is a good snapshot of the local AI stack in 2026: one strong multimodal model can do a lot, but the finished product still comes from wiring together a few solid components.

• –Commenters consistently point to Qwen 3.5 as the best fit because it covers text, vision, and tool-calling in one family.
• –The practical setup is still a stack, not a monolith: serve the model with llama.cpp or vLLM, then layer OpenWebUI and optional web/sandbox tools on top.
• –DGX Spark matters here because NVIDIA positions it for local work with models up to roughly 200B parameters, so mid-size quantized multimodal models are very much in range.
• –The thread’s real takeaway is that local multimodal workflows are now viable for advanced hobbyists, but orchestration and UX still matter as much as raw model choice.