Unverified70% confidenceFactExact time
In 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.
2
Sources
70%
Confidence
Long-term
Relevance
7/11/2026
First Seen
Sources
Claude Sonnet 4重回Cursor：CursorBench登顶，成本最高如何抉择
twittercursor_ai7/1/2026
Related Claims
UnverifiedLarge 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% similarUnverified自回归生成每个Token都需要完整的前向传播，而输入只需一次编码，这是输出比输入贵的成本结构原因75% similarVerifiedThe cost of each large language model call consists of two parts: input tokens (Prompt) and output tokens (Completion).73% 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.71% similarUnverifiedThe advantage of the code framework lies in its stronger expressive capability, but at the cost of significantly increased token consumption per operation.71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/486760API
curl https://kongchang.com/api/v1/knowledge/claims/486760MCP
get_claim(id=486760)