OpenRouter

Pony Alpha v1.0

Pony Alpha is a cutting-edge foundation model developed by OpenRouter, designed to excel in coding, agentic workflows, reasoning, and roleplay. It is particularly well-suited for hands-on coding tasks and real-world applications.

Subagent vBeta

The Subagent Server Tool is a feature offered by OpenRouter that enables large AI models to delegate specific tasks to smaller, more efficient models during their operation. This delegation allows for optimized performance and resource utilization.

OpenRouter MCP

The OpenRouter MCP Server is a component that enables AI coding tools and agents to interact with OpenRouter through the Model Context Protocol (MCP). Rather than expanding a single model's native capabilities, this integration allows your local AI assistant to intelligently select, price, and test the best AI models for a specific task by leveraging OpenRouter's live catalog and benchmark data.

OpenRouter Response Caching v1.0

OpenRouter's Response Caching feature caches identical API requests so responses are returned instantly at zero cost — saving time and money on tests, agent retries, and repeated queries.

Ori Eval

Ori Eval is an automated evaluation tool designed to help developers systematically identify the best AI models for their specific applications. It scans your codebase, generates test cases from your prompts, and uses an LLM-as-a-judge to grade performance across metrics like accuracy, latency, and cost.

Fusion v1.0

Fusion is an AI tool developed by OpenRouter that synthesizes the outputs of multiple models to deliver superior performance on complex research tasks. By combining diverse model perspectives, Fusion consistently outperforms individual models, achieving beyond-frontier performance even with budget panels. It is accessible via a single API call, allowing users to leverage the combined strengths of various models seamlessly.