Harrison Chase(@hwchase17)

agree - most orchestration steps don't need a frontier model for Open SWE we moved model choice int...

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agree - most orchestration steps don't need a frontier model for Open SWE we moved model choice int...

TL;DR · AI 摘要

通过将模型选择机制从前沿模型迁移至任务执行层，Open SWE实现单任务成本降低64%，证明非前沿模型可胜任多数编排任务。

核心要点

  • Open SWE通过模型选择迁移使任务成本下降64%
  • DeepSeek V4.1 Flash展现优秀编排能力，可替代前沿模型处理多类型任务
  • 质量测试验证了低成本模型的可行性，成本降低不牺牲任务完成度

结构提纲

按章节快速跳转。

  1. §引言

    Open SWE团队通过模型选择机制迁移实现成本优化

  2. ·模型选择策略迁移

    将模型选择决策从前沿模型转移至任务执行层的Harness框架

  3. ›成本优化效果

    经质量测试验证后，单任务中位成本下降64%

  4. ·实际应用验证

    DeepSeek V4.1 Flash展现跨任务编排能力，替代前沿模型处理编码/测试/研究任务

  5. ›性能对比

    非前沿模型在保证质量前提下实现显著成本优势

思维导图

用一张图看清主题之间的关系。

查看大纲文本（无障碍 / 无 JS 友好）
  • 模型选择优化策略
    • 成本控制方法
      • Harness框架迁移
      • 64%成本下降
    • 实际应用案例
      • DeepSeek V4.1 Flash
      • 多任务编排验证

金句 / Highlights

值得收藏与分享的关键句。

#模型优化#成本控制#AI编排#Open SWE
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Harrison Chase on X: "agree - most orchestration steps don't need a frontier model for Open SWE we moved model choice into the harness, so each task goes to the cheapest model that still does the job, tested against quality. median cost per task dropped 64% https://t.co/pHUDDCF6zs https://t.co/B… / X

Harrison Chase

@hwchase17

agree - most orchestration steps don't need a frontier model for Open SWE we moved model choice into the harness, so each task goes to the cheapest model that still does the job, tested against quality. median cost per task dropped 64%

langchain.com/blog/how-to-bu…

x.com/yuhasbeentaken…

Yum⋆₊˚

@yuhasbeentaken

20h

the more i use deepseek v4.1 flash, the harder it is to justify using a frontier model for everything. a few more things i’ve noticed: 1. it’s insanely good as an orchestrator. i can let it coordinate coding tasks, testing, research, and subagents without burning frontier-model

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4:31 AM · Oct 10, 2026

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