Reasoning Effort
A core control parameter for OpenAI's reasoning model series (the o-series and GPT-5.x). It controls the maximum token budget permitted for the model's internal chain-of-thought process. Levels include low, medium, high, and extra high, governing the trade-off between reasoning capability and cost.
Core Facts
Reasoning configuration allows developers to control the model's reasoning effort, determining how much reasoning computation the model invests before answering.
Qwen3 27B has thinking mode enabled by default, supports disabling thinking, and controls reasoning intensity via a Reasoning Effort parameter.
Reasoning Effort is essentially a parameter that controls the depth of the model's chain of thought; the higher the level, the more internal reasoning steps the model is allowed, and latency and cost rise proportionally.
Timeline (last 90 days)
Reasoning tokens are billed as output tokens but are generally invisible to users or only partially visible.
Reasoning configuration allows developers to control the model's reasoning effort, determining how much reasoning computation the model invests before answering.
Qwen3 27B has thinking mode enabled by default, supports disabling thinking, and controls reasoning intensity via a Reasoning Effort parameter.
All Facts (4)
Reasoning configuration allows developers to control the model's reasoning effort, determining how much reasoning computation the model invests before answering.
75%VerifiedQwen3 27B has thinking mode enabled by default, supports disabling thinking, and controls reasoning intensity via a Reasoning Effort parameter.
70%VerifiedReasoning Effort is essentially a parameter that controls the depth of the model's chain of thought; the higher the level, the more internal reasoning steps the model is allowed, and latency and cost rise proportionally.
70%UnverifiedReasoning tokens are billed as output tokens but are generally invisible to users or only partially visible.
50%