Controlling reasoning effort in LLMs
ibobev · hn · 2026-07-20
Controlling reasoning effort in LLMs
This post points to an article on how to control how much reasoning a model uses.
The core topic is the trade-off between giving a model more deliberation time and keeping latency, cost, and output length under control. The piece is relevant to practical LLM use because “reasoning effort” affects quality, response time, and spending, especially in systems that rely on long chains of thought or test-time compute.
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