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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.
15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-modelx-qwen3-max-multilingual-builders
Which company developed Qwen 3 Max?
On which type of benchmarks does Qwen 3 Max currently lead?
What is required to access the largest Qwen 3 Max model?
Which platform provides hosted access to Qwen 3 Max?
What type of content policy is built into Qwen 3 Max?
Which company hosts Qwen 3 variants in US data centers?
What tool can be used to self-host Qwen 3's open weights?
According to the comparison, which model offers open weights for the full model family?
Which rating do all three models (Qwen 3 Max, GPT-5.5, DeepSeek V3.5) share for Japanese language capability?
What is a recommended use case for Qwen 3 Max?
Which model capability is explicitly mentioned as a strength of Qwen 3 Max?
What should a developer do before committing to use Qwen 3 Max in politically sensitive spaces?
Which statement best describes Qwen 3 Max's position in the AI landscape?
What distinguishes the 30B-class Qwen models from the Max variant?
How does Qwen 3 Max rate on Chinese language tasks compared to DeepSeek V3.5?