Verified65% confidenceFactExact time
A finish_reason value of length or MAX_TOKENS means the model was forcibly interrupted rather than concluding on its own.
3
Sources
65%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
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Related Claims
Unverifiedmax_tokens是控制大语言模型输出长度的硬截断参数，达到上限时会直接切断输出，可能导致句子不完整74% similarPartially VerifiedMax mode raises the lower bound of reasoning tokens rather than the upper bound, forcing the model to reach a certain amount of reasoning before it is considered complete, which often harms performance.66% similarUnverifiedWhen output is truncated by max_tokens, the constrained decoding layer halts along with it, leaving a structurally incomplete response.66% similarUnverifiedA model's context window has a token limit, and anything beyond it is rejected or billed extra; in engineering, splitting, truncation, or summary compression are commonly used to control length.64% similarUnverifiedmax_tokens is the maximum number of tokens the model can generate in a single reply, and it affects both latency and cost64% similar
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