Unverified50% confidenceFactExact time
max_tokens is the maximum number of tokens the model can generate in a single reply, and it affects both latency and cost
1
Sources
50%
Confidence
Long-term
Relevance
10/13/2026
First Seen
Sources
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Related Claims
UnverifiedContext length determines the maximum number of tokens a model can process in a single pass and directly affects VRAM usage.79% similarUnverifiedmax_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71% similarUnverifiedThe context window is the total token limit of input plus output that a model can accept in a single call, which is a model capability boundary; max_tokens is an output length limit actively imposed by the application and is a cost and latency control valve, and the two are often confused.71% similarUnverifiedFor models billed by token, a malformed prompt risks unexpectedly generating a large number of tokens; engineering safeguards can be implemented as three layers: a hard max_tokens cap, client-side prompt length validation, and an API call timeout guard.71% similarUnverifiedHigh-compute reasoning modes lead to a significant increase in response time and API token consumption.70% similar
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