Enables users to run queries across multiple AI models in parallel, comparing latency, token speed, and cost, and to integrate this multi-model racing and code review capability into Claude Code, Cursor, and Codex CLI.
Provides access to 400+ AI models from OpenRouter, enabling users to chat with models like GPT-4, Claude, Gemini, and Llama, compare responses across multiple models, and retrieve model information with pricing details.
Live, sourced pricing and benchmark data across image, language, video, and audio AI models, seven tools for comparison, competitor lookups, and cost-aware routing. Also powers the free Modelglass VS Code extension.
Enables AI agents to route chat completion requests to task-appropriate models via LiteLLM/OpenRouter, track usage and budgets, and run side-by-side eval comparisons of models based on cost, latency, and response quality.
Enables blind, bias-free AI writing evaluations through randomized A/B duels, Bradley-Terry MLE rankings, and preference analytics, while letting Claude delegate heavy drafting to OpenRouter models to save tokens.