Expired80% confidenceFactExact time
Anthropic的extended thinking模式下的内部推理token会单独计费
1
Sources
80%
Confidence
Medium-term (~90 days)
Relevance
5/28/2026
First Seen
Valid until: 8/26/2026(expired)
Sources
Claude Opus 4.8 Thinking Effort Calibration Explained: A Critical Optimization Direction for AI Reasoning Models
twitteralexalbert__5/28/2026
Related Entities
Related Claims
UnverifiedAnthropic's Extended Thinking feature allows the model to perform longer and more in-depth reasoning, and is the key reason the Opus model excels in ambiguous scenarios79% similarUnverifiedUltra模式与提高推理强度有本质区别，高推理强度是让单个智能体花更多时间思考75% similarVerifiedResearch has found that the chain-of-thought reasoning generated by models does not fully correspond to their actual internal computation processes, and may provide post-hoc explanations unrelated to the true decision-making path.75% similarUnverifiedReasoning models perform extended reasoning within thinking blocks wrapped in special tokens (such as <think> and </think>); this content is typically not shown directly to users but consumes a large number of tokens.75% similarUnverifiedMechanisms such as Chain-of-Thought, multi-step verification, and self-reflection are implementations of test-time compute scaling.74% similar
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