Unverified50% confidenceFactExact time
The maxOutputTokens parameter applies to experimental decision calls and is passed through to the language-model-driven decision process to constrain the number of output tokens.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/20/2026
First Seen
Valid until: 1/18/2027
Sources
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Related Claims
UnverifiedLarge models are billed by the number of input plus output Tokens for each inference.75% similarUnverifiedThe reasoning tokens produced by reasoning models share the same max_tokens budget as the final output, and they are billed as usual even if the visible reply is an empty string.74% similarUnverifiedThe budget reasoning mechanism allows developers or systems to set an upper limit on thinking tokens per request, making an explicit trade-off between response latency and reasoning depth69% similarUnverifiedA 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.68% similarUnverified对于大语言模型推理，吞吐通常以 token 数为单位衡量，即 tokens/s 是评估 LLM 推理框架性能的核心指标68% similar
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