The official recommendation is to use reasoning_effort to control reasoning depth: low for speed and cost, medium for balance, and xhigh for complex tasks; xhigh is the default level, and preserve_thinking is enabled by default. The official API example also shows how to handle reasoning_content separately from the final answer, and how to connect the model to Claude Code, Codex, Qwen Code, and OpenClaw.
Goal: State the final file, result, or system state to be delivered.
Context: Provide the project files, versions, data, and constraints that affect the answer.
Mode: Use low/medium for simple tasks; use xhigh only for complex planning, debugging, and long tool chains.
Output: Give the conclusion first, followed by the necessary evidence; code must run, and list the verification commands.
Completion check: Run tests or inspect tool results, report failed items, and do not treat reasoning text as the final answer.Start with low to establish a cost/latency baseline.
Use medium as the general default for extraction, routine analysis, and most coding tasks.
Reserve xhigh for difficult architecture work, long-horizon debugging, and tasks requiring multiple rounds of tool calls, and set token/time limits.
In streaming responses, store, display, and count reasoning_content separately from content.
For multi-turn Agents, retain the reasoning context required by the service; for tool calls, specify tool parameters, completion criteria, and the boundary for human approval.
API usage Qwen3.8-Max officially supports reasoning_effort, which can adjust reasoning depth and control cost: xhigh (de… This is a necessary excerpt; read the original source for full context.
The complete original page is saved in the official evaluation document in the same directory; this file retains only the original article paragraphs directly related to prompting, parameters, and Agent integration, avoiding duplicate copying of unrelated benchmark tables.
Qwen3.8 Max