Can I run Qwen3-Next 80B-A3B?

Qwen3-Next 80B-A3B is a mixture-of-experts model from Alibaba, and the headline number is misleading in a useful way: it has 80B parameters total but only routes about 3B of them per token. That means it generates at the speed of a tiny model while still drawing on the knowledge of a large one. The catch is memory. You still have to hold the whole thing in RAM or VRAM, so even at a 4-bit quant around 48.5 GB you need at least 64 GB to run it, which rules out single consumer GPUs and points you at a big-memory machine instead.

In practice this is an Apple Silicon or workstation model, not a gaming-GPU one. On an M Max with enough unified memory it streams at roughly 192 tokens per second, which is genuinely quick for an 80B-class model and the main reason people reach for it. A 12 GB RTX 3060 or a 24 GB RTX 4090 simply cannot load it. If you are on CPU with DDR5 you can still run it at about 28 tokens per second, slower but workable for batch jobs. The 256K context is real, but it is hungry: pushing toward 128K can take total memory to around 95.8 GB, so plan headroom before you fill it.

Against Llama 3.1 70B, the obvious dense comparison, Qwen3-Next tends to feel markedly faster for its size because only 3B parameters are active each step, where the Llama has to run all 70B. Quality on chat and reasoning is competitive, though dense 70B models can still hold an edge on the hardest multi-step prompts. Its standout trait is that speed-to-size ratio: large-model breadth at small-model latency, if you have the memory to host it. License is Apache 2.0, so you are free to use it commercially and in production without provider-specific strings.