SiliconFlow vs Codex：怎么选？

SiliconFlow是一个生成式AI计算基础设施平台，专为AI编程场景提供高效、稳定的算力支持。其核心功能包括一键部署大规模模型训练环境，通过优化底层资源调度大幅缩短开发周期；同时支持实时模型推理加速，利用分布式架构降低延迟，提升应用响应速度。此外，平台内置自动化运维工具，可监控算力使用情况并动态调整资源配置，帮助用户降低管理成本。这款工具主要面向AI工程师、数据科学家以及需要快速迭代模型的研发团队。在模型训练阶段，SiliconFlow能快速搭建分布式集群，处理海量数据；在推理部署时，它支持弹性扩展算力，保障生产环境稳定运行；对于原型验证场景，其低代码接口可加速从实验到落地的流程。

关于 Codex

“The recent Codex releases have been a step change. Codex PR reviews catch bugs our team would have missed, and we ship with more confidence because of it. Now we’re pulling the CLI and desktop app into more of our workflows—each release raises the bar.”

With Skills, Codex goes beyond writing code to directly contribute to the work that turns pull requests into products, like code understanding, prototyping, and documentation, aligned with your team’s standards.

“I needed to update another team’s codebase for a release. Codex handled the refactor and test generation, delivering fully tested code I handed back fast—keeping the feature on schedule without added risk.”