Expired50% confidenceOpinionExact time
The high consumption triggered by the combination of Extra High reasoning and multi-tool agent tasks is expected behavior, not a system bug.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/24/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 10/22/2026(expired)
Sources
Codex超高推理模式隐藏成本:一个任务耗尽70%额度的真相
redditr/OpenAI7/12/2026
Related Claims
Unverified智能体模式下Token消耗呈非线性增长,因每次工具调用结果追加到上下文中,多步骤任务的Token消耗可达O(n²)级别,使低成本模型对智能体场景至关重要73% similarUnverifiedThe agent architecture uses a "plan-execute-reflect" loop to handle complex tasks, unlike traditional large models that perform single-pass inference.72% similarUnverifiedThe orchestration layer in a multi-agent system is responsible for task decomposition, scheduling order among agents, and the transfer and validation of intermediate results.72% similarUnverified全双工的委派机制是一种异步推理卸载架构,将计算密集型任务异步分发给后台模型,类似任务队列模式71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/608402API
curl https://kongchang.com/api/v1/knowledge/claims/608402MCP
get_claim(id=608402)