Qwen3.6
Native multimodal Qwen model family for agentic coding and vision-language tasks.
Qwen3.6 is an Alibaba Cloud Qwen model family referenced across model-inference reports in multiple sizes, including 27B, 35B, and 122B variants. The supplied evidence describes both language-model inference and multimodal/tool-use capabilities, consistent with a MULTI family classification.
Pricing
Model Intelligence
Recent stories
Perplexity open-sourced Lily, a Rust and Metal engine for Qwen3.6-35B-A3B in Perplexity Computer's hybrid workflow. Perplexity reports 1.23× faster prefill and 1.35× faster decode on an M5 Max MacBook Pro.
A LocalLLaMA post ran a 122B Qwen model on an older laptop with llama.cpp. The run had very long load and generation times, while another report put Qwen 3.6 35B at 21 tok/s on a Radeon 7600 after ROCm tuning.
A LocalLLaMA benchmark on Qwen 3.6 27B and RTX 6000 PRO reports near-6x speedups from MTP, DFlash, and n-gram drafting. Related tests cover remote prefill, NUMA offload, GPU clock tuning, and llama.cpp Gemma 4 support.
Unsloth released Qwen3.6 NVFP4 quants and claimed 2.5x GPU speedups, including 27B on 24GB VRAM. Follow-up notes warned vLLM users that Marlin or default backends can make W4A4 Qwen inference 2–2.5x slower.