Verified75% confidenceFactExact time
OpenAI has introduced a 'Thinking Budget' mechanism in its o-series reasoning models, which can dynamically control the length of the internal reasoning chain.
3
Sources
75%
Confidence
Long-term
Relevance
7/10/2026
First Seen
Sources
GPT-5.6 Revealed: What a 54% Token Efficiency Boost in Agentic Coding Actually Means
hackernewshackernews7/9/2026
Related Claims
VerifiedOpenAI o1 and DeepSeek-R1 achieve breakthroughs on complex benchmarks such as math competition problems by extending the chain of thought, which is essentially dynamically allocating more computational budget during the inference stage.79% similarUnverifiedOpenAI's o-series reasoning models correspond to the high-compute-demand tier.77% similarVerifiedOpenAI's o-series reasoning models introduce a slow-thinking mechanism that performs internal chain-of-thought reasoning before outputting the final answer.76% similarUnverified推理模型的中间思维链步骤在计费层面同样计入token消耗，OpenAI的o1模型思考token有时高达正常输出的数倍76% similarUnverifiedIn extended thinking mode, Claude counts thinking tokens and final output tokens against the same max_tokens budget, whereas OpenAI's o-series models have a separate budget cap for reasoning tokens.76% similar
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