Verified65% confidenceFactExact time
The cost of each large language model call consists of two parts: input tokens (Prompt) and output tokens (Completion).
3
Sources
65%
Confidence
Long-term
Relevance
8/28/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedOnline large language model services charge separately based on the total number of input and output tokens.80% similarUnverifiedLarge language model APIs are generally billed by the total number of input plus output tokens, and re-injecting historical context on every call in long projects causes token consumption to balloon rapidly.77% similarUnverifiedIn large language model inference, the actual hardware cost of output tokens is far higher than that of input tokens, because the decoding phase is a memory-bandwidth-limited sequential process.74% similarUnverifiedIn coding scenarios, the input side needs to carry a large amount of code context, and the input Token count is often several times that of the output, amplifying costs.73% similarUnverifiedToken consumption includes both the input content and the output returned by the model.72% similar
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