Agentic Coding: How Task Routing Cut My AI Coding Bill by 90%
说明与用途
通过将任务路由到最便宜的模型,消除前沿模型使用,将开发成本降低 90%。
问题
High cost of using frontier LLMs for all coding tasks, especially when many steps do not require high reasoning.
结果
Zero frontier tokens, 12–18× cost reduction, same functional outcome as a frontier‑only run.
工作流
- Plan task with planner model (Nemotron Ultra) via MCP tool
- Implement task with implementer model (Nemotron Super) via MCP tool
- Review changes with reviewer model (DeepSeek Flash) via MCP tool
- Optionally summarize logs with summarizer model (Nemotron Super) via MCP tool
证据
$0.205 vs. $2.41–$3.62, an 11.8×–17.6× cost difference.
Zero tokens went to Claude or any other frontier provider, anywhere in the loop.
- 记录日期: 2026-09-05T18:22:58.315Z