llm-models

You can access 100+ language models like Claude and Gemini through a unified inference.sh CLI powered by OpenRouter. It provides a single API wrapper with automatic fallback, model-specific identifiers, and cost optimization controls for robust multi-model usage.

Comparing LLM performance and cost is best handled via OpenRouter's unified API, which allows quick experimentation across 100+ models using consistent prompts. The inference.sh CLI provides automatic model fallback and cost optimization controls to manage and compare expenses efficiently.

Yes, OpenRouter supports automatic model fallback for AI coding, chat, and content generation workflows via the inference.sh CLI. This mechanism ensures continuous operation by routing requests to the best available LLM if a primary model fails.

Yes, you can use the inference.sh CLI as a single API wrapper for cost-aware multi-model routing in AI agents. It integrates OpenRouter to provide cost optimization controls, automatic fallback, and access to models like Kimi and GLM for complex reasoning tasks.

To run a sample LLM model, install the inference.sh CLI and execute a command targeting a specific model. The API routes the request through OpenRouter to the best available LLM, allowing you to quickly test and compare outputs for your application.