OpenRouter

OpenRouter puts every major language model behind a single OpenAI-compatible endpoint. Instead of holding accounts, keys, and SDKs for Anthropic, OpenAI, Google, Meta, Mistral, and a long tail of open-weight hosts, you change one string — the model name — and keep the rest of your code untouched.

Why teams route through it

• One integration, many models. The API mirrors the OpenAI chat completions shape, so most codebases need a base URL and a key to switch over.
• Price and latency transparency. Every model lists its per-token cost, context window, and throughput, and multiple providers often serve the same weights at different prices.
• Automatic failover. If a provider rate-limits or goes down, requests fall through to the next one instead of erroring.
• One invoice. Credits are shared across every model, which removes a real amount of procurement work for small teams.
• Real usage data. Public rankings show which models are actually being used for coding, roleplay, and reasoning — a useful sanity check against benchmark claims.

Good fit for

Products that want model choice as a runtime decision rather than an architectural one, teams benchmarking several models against the same prompts, and anyone who would rather not manage a dozen vendor relationships to ship one feature.