Qwen3 Max
Qwen3 Max is Alibaba's trillion-parameter MoE language model with a context window of 262.1K tokens, delivering competitive performance on coding, mathematics, and enterprise tool-use tasks.
import { streamText } from 'ai'
const result = streamText({ model: 'alibaba/qwen3-max', prompt: 'Why is the sky blue?'})What To Consider When Choosing a Provider
Zero Data Retention
AI Gateway does not currently support Zero Data Retention for this model. See the documentation for models that support ZDR.Authentication
AI Gateway authenticates requests using an API key or OIDC token. You do not need to manage provider credentials directly.
For regulated industries requiring data-residency guarantees, cross-reference the geographic deployment region of your chosen provider against applicable compliance frameworks before routing production traffic.
When to Use Qwen3 Max
Best For
Structured enterprise automation:
High-volume workloads that require reliable JSON, XML, or formatted report output
Long-document analysis:
Contracts, scientific papers, and codebases where the full context must remain in-window
Multi-step function calling:
Complex agentic workflows that chain multiple tool invocations
Professional-grade quantitative work:
Mathematical reasoning and quantitative problem-solving at expert difficulty
Bilingual Chinese-English applications:
Products where both languages need equal-quality handling
Consider Alternatives When
Visible chain-of-thought needed:
Consider Qwen3-Max-Thinking when you need extended reasoning with visible step traces
Creative and conversational writing:
Open-ended storytelling or conversational warmth is the primary requirement
Strict token budgets:
A smaller open-weight model may meet your quality bar at lower cost per token
Latency-critical workloads:
Response latency is more important than depth of reasoning
Conclusion
Qwen3 Max brings trillion-parameter scale to tasks that benefit most from it: long-context document work, structured enterprise output, and complex tool use. Its context window of 262.1K tokens and strong benchmark results make it a credible choice for production deployments where reliability and breadth of capability take precedence over speed.
FAQ
The model exceeds one trillion total parameters. It's served as a closed-weight API, and model weights aren't available for download.
The context window is 262.1K tokens. This supports long document analysis and extended multi-turn sessions.
The model supports context caching, allowing repeated long prompts, such as a large system prompt or document, to be processed once and reused across many requests, reducing latency and cost.
Qwen3 Max is optimized for fast, high-quality responses without extended internal reasoning traces. Qwen3-Max-Thinking adds a dedicated thinking mode where the model works through complex problems step by step, making it better suited to hard math, competitive coding, and scientific reasoning at the cost of higher token usage.
Yes. Qwen3 Max was specifically evaluated on tool-use benchmarks (Tau2-Bench: 74.8) and is designed for multi-step agentic workflows involving structured API calls.
Yes. Alibaba positions Qwen3 Max with strong native support for both Chinese and English, alongside broad multilingual capability.
On SWE-bench Verified, Qwen3 Max recorded a score of 69.6, placing it competitively among other models evaluated on software engineering tasks.
