OpenRouter

OpenRouter is the model-routing and API aggregation company discussed in E246｜何谓蒸馏？聊聊硅谷如何看中国开放模型逼近前沿. Keith Zhai uses it as an example of an intermediary that benefits when strong open and closed models coexist, because customers have more reason to compare and route across models rather than defaulting to one frontier provider.

For the wiki, OpenRouter belongs in Model Routing Cost Control and AI Inference Cost Structure. Its value increases when [[OpenSourceAIModels|open models]] such as [[KimiK3|Kimi K3]] make model choice a routine product decision across price, latency, quality, policy, and deployment constraints.

Connections

• Model Routing Cost Control - user/product-level routing practice OpenRouter exemplifies.
• AI Inference Cost Structure - token-price and provider-cost layer that makes routing valuable.
• Open Source AI Models, Kimi K3, and Closed Model API Moat Pressure - model diversity and API moat pressure behind its opportunity.
• Agent Inference Workload - agent workloads can make routing more valuable because long prompts, cache reuse, and repeated steps create cost differences.