Qwen3.7 Max
Alibaba's flagship Qwen3.7 model built for the agent-centric era, combining deep thinking, a 1M token context window, and best-in-class agentic capabilities for programming, productivity, and long-term autonomous execution.
Qwen3.7 Max
**Qwen3.7-Max** is the largest and most capable model in Alibaba's Qwen3.7 series — a next-generation flagship model designed for the agent-centric era. Its core strengths lie in the breadth and depth of its agent-level capabilities: it excels at programming, office and productivity tasks, and long-term autonomous execution. ### Key Capabilities - **Deep Thinking mode**: Optional internal reasoning process (`enable_thinking`) that streams the model's thought process before delivering a final answer, improving performance on complex tasks - **Massive context window**: 1 million token context window with up to 991K tokens of input (983K in thinking mode) and 64K tokens of output - **Agentic execution**: Built for long-horizon autonomous task execution, making it well-suited for agent frameworks and tool-heavy workflows - **Function calling & structured output**: Native support for tool/function calling and structured (JSON) output - **Built-in tools**: Supports web search, web content extraction, and code interpreter tools via the Responses API - **Caching support**: Both implicit and explicit prompt caching for significant cost reduction on repeated context ### What It's Best For Qwen3.7-Max is purpose-built for demanding agentic workloads: software development, office productivity automation, long-running autonomous agents, and large-document analysis that benefits from its 1M token context window. The current release is functionally equivalent to the `qwen3.7-max-2026-05-20` snapshot and offers a pure-text interface.
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When enabled, the model performs an internal reasoning process before generating its final answer. This improves performance on complex tasks like programming and long-horizon agentic work, but may increase response time.
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