Verified65% confidenceTradeoffExact time
Thinking tokens for reasoning models are typically billed, and setting a token budget cap can prevent runaway costs from a single request.
3
Sources
65%
Confidence
Long-term
Relevance
8/24/2026
First Seen
Sources
Related Entities
Related Claims
Unverified实践中通过设置「上下文预算」为每次模型调用设定 token 上限,并在预算内通过优先级排序决定包含哪些信息76% similarUnverifiedReasoning content is often billed the same as regular text in terms of token counting, so retaining reasoning increases the number of tokens carried in requests and affects call costs.76% similarUnverifiedCost accounting should separately track the volume and cost of input tokens and output tokens, rather than looking at total token count in aggregate.75% similarVerifiedThe output token unit price of large models is generally higher than that of input tokens.73% similarUnverifiedCommon methods for controlling token costs include truncating conversation history, using summary-based memory compression, and selecting models of different scales for different tasks.72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/795428API
curl https://kongchang.com/api/v1/knowledge/claims/795428MCP
get_claim(id=795428)