ConceptToken成本优化
Token优化
Token优化是指在使用大型语言模型(LLM)时,通过系统性方法减少输入与输出中Token数量的技术实践。其核心手段包括提示词压缩与精简、上下文管理、信息分块处理以及模型选择策略等。Token优化的目标不仅在于降低API调用成本,还旨在提升推理效率、规避上下文长度限制,是大模型应用工程中的重要优化维度。
Timeline (last 90 days)
Sep 12
True token cost optimization comes from the judgment of knowing where to invest and where to save, rather than mechanically compressing every interaction.
Unverified50%
All Facts (2)
Unverified
Compressing or truncating historical context leads to degraded task continuity, potentially creating a perverse incentive where saving tokens actually requires more tokens.
60%UnverifiedTrue token cost optimization comes from the judgment of knowing where to invest and where to save, rather than mechanically compressing every interaction.
50%Source Articles
Claude Code Model Configuration & Cost Comparison: A Practical Money-Saving GuideJun 36 Developer Tools Roundup: AI Coding Cost Tracking, Agent Virtual File Systems, and MoreJun 3AI API Aggregation Gateways: A Complete Analysis of Pros and Cons for Unified Multi-Model AccessJun 2AnySearch: A Search Plugin Designed for AI Agents — Save Tokens, Boost ResultsJun 2OpenClaw + Claude Code Token-Saving Guide: Zero-Polling with Hooks CallbacksJun 2The Complete Guide to Claude Code Commands: 10 Core Commands & Practical WorkflowsJun 1Claude Code Practical Guide: 26 Pro Tips to Master This AI Coding AgentMay 23Six Practical Claude Code Tips You'll Wish You Knew SoonerMay 23