Understanding Reasoning Control Parameters in Large Model APIs: A Deep Dive into reasoning_effort, thinking, and max_completion_tokens
This article explains how inference‑oriented LLMs differ from standard models, details the three key reasoning‑control parameters (reasoning_effort, thinking, max_completion_tokens), compares their usage across OpenAI o1, Anthropic Claude, DeepSeek‑R1 and Kimi, and provides practical guidance on selecting values, managing costs, and deciding when to employ reasoning models.
