Qwen3 Max and DeepSeek V3.2 come from two of China's leading labs, but only one of them ships open weights. Qwen3 Max is Alibaba's largest Qwen3 model, offered through Alibaba Cloud's API and Qwen Chat rather than as downloadable weights. It is valued for strong coding and multilingual coverage, and the wider Qwen3 family includes many smaller open-weight models under Apache 2.0 for teams that want to self-host or fine-tune.
DeepSeek V3.2 counters with extreme efficiency (sparse attention, a 671B MoE and rock-bottom pricing), open weights you can self-host, and a strong reasoning-in-tool-use focus. Qwen tends to win on multilingual breadth; DeepSeek wins on cost-efficiency, openness and agentic reasoning value. For multilingual apps on a managed API, Qwen is compelling; for cheap, scalable, self-hostable English and code reasoning, DeepSeek leads.
Which should you choose?
Qwen3 Max
Qwen3 Max · 262K context
Pick it if
you need strong multilingual support and are happy with a managed API.
DeepSeek V3.2
DeepSeek V3.2 · 163K context
Pick it if
you want cheap, efficient reasoning and coding with open weights.
Qwen3 Max wins on multilingual coverage through a managed API; DeepSeek V3.2 wins on cost-efficiency, open weights and agentic reasoning. Pick by language needs versus value and self-hosting.
Questions
Which is better for non-English tasks?
Qwen3 Max. Alibaba's models are known for broad multilingual coverage, especially Chinese.
Are both open source?
No. DeepSeek V3.2 ships open weights under a permissive licence, but Qwen3 Max is API-only. Alibaba does publish open weights for many smaller Qwen3 models.