Unverified70% confidenceFactExact time
Reasoning-enhanced models (such as o1 and DeepSeek-R1) consume large numbers of reasoning tokens in their chain-of-thought process that are invisible to users; the actual tokens consumed by o1-preview are often 3 to 8 times that of the visible output.
2
Sources
70%
Confidence
Long-term
Relevance
7/18/2026
First Seen
Sources
Related Claims
Unverified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77% 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.74% similarUnverifiedAfter reasoning models such as DeepSeek-R1 and Qwen3 pushed chain-of-thought training to its extreme, side effects emerged including the model repeatedly self-verifying, frequently backtracking, and generating large amounts of inner monologue on simple questions.73% similar
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