📄 中文摘要
在OpenClaw与Claude的讨论中，许多人认为必须在这两者之间做出选择。实际上，OpenClaw是一个调度层，而非单一模型。关键在于选择哪种模型来支持OpenClaw的任务。根据不同的任务需求，选择的模型也有所不同：对于复杂推理和架构决策，推荐使用Claude Opus；对于编码任务和PR审查，GPT-4o或Claude Sonnet是较好的选择；而对于快速摘要和文件处理，则可以选择其他更适合的模型。通过同时运行多个模型，用户可以根据具体需求灵活调整，从而提升工作效率。
OpenClaw、Claude与GPT-4：为何不必选择（多模型路由指南）
📄 English Summary
OpenClaw vs Claude vs GPT-4: Why You Don't Have to Choose (Multi-Model Routing Guide)
The discussion around OpenClaw versus Claude often presents a false choice, as OpenClaw serves as an orchestration layer rather than a standalone model. The real consideration lies in which model to use for specific OpenClaw tasks. Depending on the task, the ideal model varies: for complex reasoning and architectural decisions, Claude Opus is recommended despite its cost; for coding tasks and PR reviews, GPT-4o or Claude Sonnet provide a good balance; and for quick summarization and file processing, other models may be more suitable. Running multiple models simultaneously allows users to adapt to their specific needs, enhancing overall efficiency.