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Qwen vs DeepSeek

Alibaba's open-weight model family, strong on multilingual and coding tasks.

功能对比

Qwen 与 DeepSeek 功能对比
维度 Qwen DeepSeek
Context window 128k tokens 128k tokens
License Apache-2.0 for most sizes MIT for code, DeepSeek License for weights
Open weights Yes Yes
Parameters 0.5B to 72B 7B to 67B
Provider Alibaba DeepSeek

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 Qwen if…

已记录的属性中,没有任何一项显示它更有优势。

Choose DeepSeek if…

已记录的属性中,没有任何一项显示它更有优势。

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.

DeepSeek

model · Models

DeepSeek is an open-weight model family whose published training methods attracted attention for reaching competitive quality at lower reported cost. It solves the cost question in training rather than in inference, which is where most optimisation effort goes. It exists as evidence that architecture and training-schedule choices matter enough to change what a given budget can produce, and its weights and methods are published.