Llama vs Gemma

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

功能对比

Llama 与 Gemma 功能对比
维度	Llama	Gemma
Context window	128k tokens	8k tokens
License	Llama Community License	Gemma Terms of Use
Open weights	Yes	Yes
Parameters	8B, 70B, 405B	2B, 9B, 27B
Provider	Meta	Google

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 Gemma 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.

Gemma

model · Models

Gemma is a family of open-weight models from Google, published in sizes aimed at running on a single accelerator or a laptop. It solves the access problem for teams that want a capable model they can inspect and run themselves. It exists as the open counterpart to the hosted models, and its significance is that the weights are available for the smaller variants where local inference is realistic.