Qwen3 Max is the flagship model in Alibaba's Qwen3 series, built on a mixture-of-experts architecture that scales beyond one trillion total parameters. The design incorporates a global-batch load balancing loss to keep training stable at this scale, and the model was pretrained on 36 trillion tokens. A 262.1K-token context window makes it practical for ingesting entire codebases, long legal documents, or extended multi-turn conversations without splitting work across multiple calls. The architecture supports structured-output tasks, function calling, and JSON generation, positioning it for complex enterprise workflows rather than simple question-answering.

The model ranks among the top performers on reasoning, coding, knowledge, and agent benchmarks, achieving state-of-the-art results across multilingual understanding and human preference alignment. On software engineering tasks measured by SWE-bench Verified, it scored 69.6, and structured-output benchmarks show 74.8 on Tau2-Bench and 79.3% on LiveBench. A thinking-oriented variant pushes reasoning further, reaching 100% on challenging benchmarks like AIME 25 and HMMT when paired with test-time scaling. The system also features adaptive tool-use that enables on-demand retrieval and code interpreter invocation, supporting the kind of multi-step agentic tasks that enterprises increasingly depend on. Qwen3 Max is accessible via API through Alibaba Cloud, with native bilingual strength in Chinese and English alongside broad multilingual coverage.