待验证50% 置信事实时间未知
A single complete code generation request can consume tens of thousands of Tokens due to large context input and lengthy code output
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
相关事实
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78% 相似待验证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.77% 相似待验证The larger the context, the more input Tokens consumed67% 相似待验证自回归生成每个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66% 相似待验证1M 上下文意味着模型可以一次性处理约 75 万个英文单词或数十万行代码65% 相似
引用此条事实
Stable URI
https://kongchang.com/claim/56718API
curl https://kongchang.com/api/v1/knowledge/claims/56718MCP
get_claim(id=56718)