Expired50% confidenceFactExact time
Max Reasoning Effort is a feature that exposes the model's internal reasoning budget as a user-configurable parameter.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/9/2026
First Seen
Valid until: 10/7/2026(expired)
Sources
GPT-5.6 Explained: Sol, Terra & Luna — Tiered Positioning and Capability Comparison
bilibiliX信息差6/28/2026
Related Claims
UnverifiedReasoning 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.79% similarUnverifiedReasoning budget refers to the upper limit on the number of intermediate reasoning tokens a chain-of-thought model is allowed to consume before generating a final answer; the higher the budget, the deeper the self-reflection and multi-step verification the model can perform.79% similarUnverifiedThe core of the Extended Thinking mechanism is allocating a greater computational budget during the model's reasoning phase, allowing the model to analyze problems from multiple angles, self-correct, and compare solutions — a process the academic community calls Inference-Time Compute Scaling.76% similarUnverifiedAnthropic provides a thinking parameter control switch at the API level, as well as a budget_tokens parameter for setting the maximum number of tokens that the thinking process can consume.75% similarUnverifiedInference-time computation improves output quality by allocating more computational resources during the inference stage while keeping model parameters fixed.73% similar
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