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Model details

Qwen3.7 Max

Positioned by its makers as a proprietary foundation for the agent era, Qwen3.7 Max is designed to operate as a versatile agent that can write and debug code, automate office workflows, and sustain coherent reasoning across very long task horizons. The launch announcement frames it as equally comfortable with frontend prototyping and complex multi-file engineering, and highlights a fully autonomous 35-hour kernel optimization run composed of over a thousand tool calls, illustrating how far the model can carry an open-ended objective without losing track. It is also presented as reliable in office and productivity settings through MCP integrations and multi-agent orchestration, and as portable across agent scaffolds, performing consistently whether it is wired into Claude Code, OpenClaw, Qwen Code, or other frameworks.

Beyond raw agentic depth, Qwen3.7 Max emphasizes breadth: it generalizes across coding assistants, supports function calling for tool use, and is marketed by third-party distributors as Alibaba's flagship reasoning and agentic LLM tuned for coding, productivity, long-context understanding, and autonomous workflows. The model is text-only on input and output, with reasoning, tool calling, temperature control, and structured output available to developers wiring it into agent pipelines. For practitioners, this combination suggests a strong fit for teams building long-running coding agents, automating multi-step productivity tasks, or orchestrating multiple specialized agents behind a single reasoning core, while keeping an OpenAI-compatible API surface for straightforward integration.

EmpirioLabs AIqwen3-7-maxqwen

Quick Info

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Provider
EmpirioLabs AI
Model key
qwen3-7-max
Release date
May 21, 2026
Last updated
Jun 12, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$2.50
Output token cost
$7.50

Limits

Output tokens
65,536 tokens
Context window
1,000,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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