llm-rankings

What problem does it solve?

Users struggle to choose the best LLM for their specific needs, often getting lost in benchmarks, pricing, and capabilities. This skill cuts through the complexity, providing clear, data-driven recommendations to help you select the optimal model for any task.

Core Features & Use Cases

• Comprehensive LLM Comparison: Get benchmark-based rankings (MMLU, HumanEval), cost analysis, and real-world performance insights for models like GPT-4, Claude, Gemini, and Llama.
• Task-Specific Recommendations: Find the ideal LLM for code generation, long context tasks, creative writing, complex reasoning, or cost-sensitive applications.
• Use Case: "Which LLM is best for generating Python code, considering both performance and cost?"

Quick Start

Use the llm-rankings skill to compare GPT-4o, Claude Sonnet 4.5, and Gemini 1.5 Pro for long context document analysis, including their pricing and context window sizes.