待验证50% 置信事实精确时间
In programming scenarios, large amounts of code context including related files, dependencies, and project structure need to be passed as input to the model, causing Token consumption per request to be far higher than in regular conversations.
1
来源数
50%
置信度
中期 (~90 天)
时效性
2026/7/2
首次发现
有效期至：2026/9/30
来源
Codex vs Claude Code vs Cursor: In-Depth Comparison and Selection Guide for AI Coding Tools
bilibili爱喝水的小兵87522026/6/5
相关事实
待验证A single complete code generation request can consume tens of thousands of Tokens due to large context input and lengthy code output77% 相似待验证代码场景中输入侧需携带大量代码上下文，输入 Token 量往往数倍于输出，放大成本74% 相似待验证The larger the context, the more input Tokens consumed68% 相似已验证大语言模型的推理过程本质上是内存带宽受限（memory-bandwidth bound）的任务，每生成一个Token都需要将模型的全部权重从存储中读取一遍66% 相似待验证大语言模型推理中输出 token 的实际硬件成本远高于输入 token，因解码阶段是内存带宽受限的串行过程65% 相似
引用此条事实
Stable URI
https://kongchang.com/claim/43158API
curl https://kongchang.com/api/v1/knowledge/claims/43158MCP
get_claim(id=43158)