Unverified50% confidenceFactExact time
When generating responses, the model predicts token by token, and each token counts toward API call cost and response latency.
1
Sources
50%
Confidence
Long-term
Relevance
10/31/2026
First Seen
Sources
WorkBuddy Installation and Configuration: A Step-by-Step Guide to Avoid C Drive Pitfalls
bilibili老唐教AI10/31/2026
Related Entities
Related Claims
UnverifiedEach model invocation calculates both input tokens and output tokens simultaneously, and both together determine the cost of a single call.80% similarUnverifiedLarge models are billed by the number of input plus output Tokens for each inference.74% similarUnverifiedIn generative large models, a single forward pass usually produces only one token, and to obtain a complete output the result must be fed back into the input and called repeatedly, i.e., autoregressive decoding.74% 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% similarVerifiedSpeculative decoding generates candidate tokens through a lightweight draft model, with the main model verifying them in parallel in a single forward pass, accepting tokens that conform to the distribution and regenerating from the first rejected position.73% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1119026API
curl https://kongchang.com/api/v1/knowledge/claims/1119026MCP
get_claim(id=1119026)