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Unverified50% confidenceBenchmarkExact time

在一个典型项目查询中发送了45,000 tokens的上下文，但真正有用的只有约5,000 tokens

1

Sources

50%

Confidence

Long-term

Relevance

7/12/2026

First Seen

Sources

本地代码索引：削减94%的AI编程Token消耗

bilibiliAIToBox6/30/2026

Related Claims

Unverified60个Skill/MCP的描述文本总计约占用12,000 tokens（平均每个200 tokens）71% similar Unverified单次代码审查或生成请求通常消耗约500-2000个Token64% similar Unverified每个工具的 JSON Schema 描述少则数十 token 多则数百 token，当工具数量超过 30-50 个时，工具定义本身可能消耗数千 token 上下文64% similar Verified以GPT-4o为例，每个工具的JSON Schema描述平均占用200-500个Token，当系统集成50个工具时，仅工具描述部分就会消耗1万至2.5万Token62% similar Unverified批量打分环节每批约处理 10 篇摘要，约 1.8 万 tokens61% similar

Cite This Claim

Stable URI

https://kongchang.com/claim/491008

API

curl https://kongchang.com/api/v1/knowledge/claims/491008

MCP

get_claim(id=491008)