Llama vs Qwen

Open-weight language model family from Meta, released for local and self-hosted use.

功能对比

Llama 与 Qwen 功能对比
维度	Llama	Qwen
Context window	128k tokens	128k tokens
License	Llama Community License	Apache-2.0 for most sizes
Open weights	Yes	Yes
Parameters	8B, 70B, 405B	0.5B to 72B
Provider	Meta	Alibaba

灰底行表示两者相同；有差异的行才是下方推荐结论的依据。

该选哪个？

由上述差异按固定规则生成，不是模型生成的。

Choose Llama if…

已记录的属性中，没有任何一项显示它更有优势。

Choose Qwen if…

已记录的属性中，没有任何一项显示它更有优势。

Llama

model · Models

Llama is a family of language models whose weights are published, so they can be run on your own hardware instead of only through an API. It solves the problem that most capable models are reachable only as a hosted service, which rules them out when data cannot leave your network or when per-token cost dominates. It exists because releasing weights turned out to build an ecosystem of fine-tunes and tooling around one architecture, and it is the model most local inference tools target first.

Qwen

model · Models

Qwen is an open-weight language model family from Alibaba, released in a range of sizes and with a strong showing on multilingual and code benchmarks. It solves the same problem as other open-weight models: letting a team run a capable model without depending on a closed API. It exists as one of the few families that publishes both very small and very large variants, which makes it a common default when you need a model that fits a specific memory budget.