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GPT 规划 + DeepSeek 执行:双模型协作省钱流程

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2026 年 10 月 4 日,作者佬刘AI 发文介绍一套双模型协作流程:让 GPT(gpt-6.1-sol,推理档位 high)在 Codex 里负责规划、关键判断和验收,通过 DeepSeek 官方 Harness 调用 DeepSeek-V4.1-Flash 负责写代码、跑试验和修复。据作者描述,两者配合最终做出一个五项功能跑通的本地 PDF 工具箱,以此降低 AI 编程成本。目前该流程仍属作者个人实践分享,报道中未给出成本对比数据或更广泛的验证结果。

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    Planning with GPT, Execution with DeepSeek: A Cost-Saving Two-Model Workflow

    The author has GPT (gpt-6.1-sol, reasoning tier high) handle planning, key decisions, and acceptance in Codex, and calls DeepSeek-V4.1-Flash through the official DeepSeek Harness to write code, run experiments, and fix bugs—together producing a local PDF toolkit with five working features.

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