新闻
GLM-5.3 vs. GPT-5.6 Sol on DeepSWE: Cost, Coding, and Routing
Together AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- GLM-5.3 and GPT-5.6 Sol compared on DeepSWE coding tasks: Sol wins first attempt at 72.7%, GLM-5.3 wins retries at 87.6% pass@4, costs half as much.
- 为何重要
- Engineering teams choosing between models for software engineering tasks, especially those tolerating retries or operating under budget constraints rather than latency constraints.
- 注意
- Results are specific to DeepSWE benchmark and this particular test run. Sol has 20% regression rate versus GLM-5.3's 11%, requiring different verification strategies before deployment.
收听本摘要
- gpt
这条新闻背后的模式
每个模式都讲清楚技术如何运作、何时值得投入,以及在哪里会失效。
The Agent Architect
每周一个模式、一个权衡、一个生产事故案例。为构建智能体系统的人准备的每周简报。
每周一封邮件,一键退订。您的地址仅用于发送简报。