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Alibaba's Qwen 3 Max is the leading open-weights model for high-quality Chinese work and does English surprisingly well.
Qwen 3 Max leads most Chinese-language benchmarks and keeps pace with flagship GPT models on English ones. For any product serving Mandarin users it should be on your shortlist.
| Language | Qwen 3 Max | GPT-5.5 | DeepSeek V3.5 |
|---|---|---|---|
| Chinese | Excellent | Strong | Excellent |
| English | Strong | Excellent | Strong |
| Japanese | Good | Strong | Good |
| Open weights | Partial family | No | Yes |
from dashscope import Generation resp = Generation.call(model="qwen-max", prompt="Summarize this article")DashScope is Alibaba's hosted access point.Alibaba's DashScope for hosted access, or download the 30B-class open weights and self-host via vLLM. Together and Fireworks also host Qwen 3 variants in US data centers.
8 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-modelx-qwen3-max-multilingual-builders
What is the main idea of "Qwen 3 Max — Chinese-English multilingual"?
Which concept is most central to "Qwen 3 Max — Chinese-English multilingual"?
Which use of AI fits this topic best?
What should a careful learner remember about "Regulatory overlay"?
You want to use AI after this lesson. What is the safest next step?
How should AI output about Qwen 3 Max be treated?
Name one way to verify an AI answer about Qwen 3 Max.
Which action would help you apply "Qwen 3 Max — Chinese-English multilingual" responsibly?