Unverified50% confidenceFactExact time
OpenAI's reasoning_effort values include minimal/low/medium/high, Anthropic expresses the reasoning budget via thinking.budget_tokens, and Google Gemini uses thinkingBudget.
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50%
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Long-term
Relevance
10/29/2026
First Seen
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Related Claims
UnverifiedOpenAI controls the degree of reasoning investment via the reasoning.effort parameter (low/medium/high/none), while Anthropic toggles this behavior through the thinking field.75% similarUnverifiedCurrent successful cases of self-improving agents are mostly concentrated in programming, mathematical reasoning and structured operation tasks, while open-ended creative or strategic decision-making tasks are still difficult to fit into this framework.63% similarUnverifiedFewer thinking tokens improve efficiency on simple tasks but may compress the exploration space on complex reasoning tasks.61% similarUnverifiedSimpleBench强调对模型常识推理和陷阱规避能力的考察，题目往往表面简单但暗含多步推理或语言陷阱设计61% similar
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