Alibaba's open-weight model family, strong on multilingual and coding tasks.
| Critère | Qwen | Gemma |
|---|---|---|
| Context window | 128k tokens | 8k tokens |
| License | Apache-2.0 for most sizes | Gemma Terms of Use |
| Open weights | Yes | Yes |
| Parameters | 0.5B to 72B | 2B, 9B, 27B |
| Provider | Alibaba |
Les lignes grisées sont identiques pour les deux ; ce sont les lignes qui diffèrent qui motivent la recommandation ci-dessous.
Généré à partir des différences ci-dessus par des règles structurées, et non par un modèle.
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.
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.
