OpenRouter

OpenRouter is a unified LLM interface for developers and businesses: access 500+ models from 60+ providers via a single API compatible with the OpenAI SDK (examples include Anthropic's Claude Opus 4.5, OpenAI's GPT-5.2, Google’s Gemini 3 Pro Preview, etc.). The platform claims 25T monthly tokens, 5M+ global users, and a distributed infrastructure and routing strategy that can fail over to other providers if one provider fails, improving availability and SLA stability.

Price and Performance: OpenRouter runs at the Edge to minimize latency between users and inference, and reduces cost through multi-provider selection and routing optimization while maintaining speed.

Custom Data Policies: It offers fine-grained data and privacy policies allowing organizations to restrict which prompts are sent to which models or providers to meet compliance and security needs. Features and tools include model routing visualization, vendor ranking to optimize performance/cost, and newer features like Response Healing (automatically fixing malformed JSON returned by LLMs) to improve application robustness.

The platform also showcases Featured Models and Featured Agents (e.g., Replit, BLACKBOXAI, Kilo Code), and provides rankings and token usage data for models and apps to facilitate comparison and selection. Getting started is simple: sign up (supports Google, GitHub, MetaMask), buy credits usable across models/providers, get an OPENROUTER_API_KEY and start making requests. Announcements and resources for community and enterprise are frequently updated (e.g., 2025 State of AI report, technical articles on synthetic data and model distillation), helping users understand the ecosystem and best practices.

In short, OpenRouter's core value is integrating multiple model providers behind a single interface, balancing cost, availability, and privacy controls—suitable for products and teams that need multi-source redundancy, fine-grained policies, and low-latency inference.