Unverified50% confidenceFactExact time
A reasoning trace is the sequence of intermediate thinking tokens that a large language model outputs step by step before generating a final answer; it improves accuracy on complex tasks but consumes a large number of additional tokens.
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9/30/2026
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Related Claims
UnverifiedThe inference process of large language models is autoregressive, and the number of output Tokens is almost linearly correlated with response latency.80% similarVerifiedTop-tier models employ techniques such as chain-of-thought or extended reasoning, generating a large number of intermediate tokens during inference, causing per-call token consumption to be several times that of ordinary models.77% similarUnverifiedTest-Time Compute refers to the mechanism by which new-generation models perform longer internal reasoning via chain-of-thought before generating a final answer.76% similar
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