Can anyone please tell me how I am supposed to implement reasoning-budget for Qwen3.5 on either vLLM or SGLang on Python? No matter what I try it just thinks for 1500 tokens for no reason and it's driving me insane.
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Implementing reasoning-budget in Qwen3.5
Reddit r/LocalLLaMA / 3/20/2026
💬 OpinionTools & Practical UsageModels & Research
Key Points
- The post asks how to implement reasoning-budget for Qwen3.5 using vLLM or SGLang in Python.
- The author reports the model consistently uses about 1500 tokens for reasoning regardless of attempts to adjust it.
- The question was submitted by user /u/DingyAtoll on Reddit, with a link to the LocalLLaMA discussion thread.
- The thread focuses on understanding and controlling the reasoning budget, which impacts latency, cost, and output behavior.
submitted by /u/DingyAtoll
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