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OpenRouter has established itself as a popular multi-model API gateway, providing developers with a single endpoint to access 500+ LLMs from 60+ providers. For prototyping and early-stage experimentation, its simplicity is hard to beat. However, as AI workloads mature and teams move toward production-grade deployments, OpenRouter's architecture reveals

TL;DR AI gateways have become critical infrastructure for teams building with multiple LLMs. This article covers five leading options: Bifrost, Cloudflare AI Gateway, LiteLLM, Vercel AI Gateway, and Kong AI Gateway, comparing them across platform overview, key features, and best use cases. Why Multi-Model Routing Matters No single LLM

TL;DR Bifrost is a high-performance AI gateway built by Maxim AI that delivers 50x faster performance than LiteLLM with <11µs overhead at 5,000 RPS. While LiteLLM offers multi-provider access, it struggles with production workloads beyond 500 RPS. Bifrost provides zero-config deployment, automatic failover, semantic caching, and seamless

TL;DR Rate limiting is critical for controlling costs and preventing abuse in production AI applications. This guide compares five leading AI gateways: Bifrost (Maxim's unified gateway with advanced governance), Cloudflare AI Gateway (edge-based with free tier), LiteLLM (developer-focused proxy), Kong AI (enterprise API management), and Helicone (Rust-based

TL;DR: Enterprise AI applications need gateways to manage multiple LLM providers through unified APIs. Bifrost offers intelligent routing with evaluation integration, Cloudflare provides edge deployment, LiteLLM focuses on open-source flexibility, Kong AI extends existing API infrastructure, and Helicone emphasizes observability. Why Enterprises Need Multi-LLM Gateways Running production AI applications