Unverified50% confidenceFactExact time
Recurrent architectures internalize additional computation inside the model's forward pass, whereas chain-of-thought or reasoning models generate more tokens externally.
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50%
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Long-term
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10/7/2026
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UnverifiedExtended thinking mode causes the model to perform an explicit internal reasoning chain before output, at the cost of significantly increased token consumption, with reasoning tokens typically billed at a higher rate.78% 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% similarUnverifiedBecause the amount of computation per token is limited, the model needs to distribute reasoning across multiple tokens, which is Chain of Thought.75% similarUnverified推理模型在生成最终答案前会先产生大量内部思维链（Chain-of-Thought）token，这些 token 不直接暴露给用户75% similarUnverifiedMAX档本质是在单次推理中延长模型的思考链，让模型输出前进行更多内部迭代，而非调用更多并行资源74% similar
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