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Text Generation Model

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.

Publisher Qwen
Type Text
Context Window 1,000,000 tokens
Training Data May 2026
Input $2.50/MTok
Output $7.50/MTok
Provider Alibaba Cloud
LARGE CONTEXTREASONING

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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Parameters & options

Max Temperature 2
Max Response Size 64,000 tokens
Deep Thinking Select

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.

Default: false
DisabledEnabled

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