📄 中文摘要
在2026年构建LLM时，面临的挑战不再是选择哪个模型，而是围绕模型的各种问题，如延迟波动、服务提供商故障、意外账单、环境间行为不一致等。团队可能会错误地使用GPT-4，而实际上GPT-4o-mini就足够了。此外，调试来自三个供应商的五个不同仪表板的故障也成为一大难题。因此，LLM网关逐渐成为核心基础设施。该文分析了当前生产环境中使用的前五大LLM网关，重点关注性能、可靠性、治理、成本控制和操作的理智性等实际工程问题。
2026年生产环境中的前五大LLM网关（深入实用比较）
出处: Top 5 LLM Gateways for Production in 2026 (A Deep, Practical Comparison)
发布: 2026年2月12日
📄 English Summary
Top 5 LLM Gateways for Production in 2026 (A Deep, Practical Comparison)
In 2026, the challenge of building with LLMs shifts from selecting the right model to addressing various surrounding issues such as latency spikes, provider outages, unexpected billing, and inconsistent behavior across environments. Teams might accidentally deploy GPT-4 when GPT-4o-mini would suffice, complicating debugging across three vendors with five different dashboards. Consequently, LLM gateways are becoming core infrastructure. This article analyzes the top five LLM gateways currently in production, focusing on real-world engineering concerns like performance, reliability, governance, cost control, and operational sanity.