danielrosehill/Open-Router-API-Pricing-Analysis

OpenRouter API定价分析数据集提供了一个特定时间点的OpenRouter API中可用的LLM（大型语言模型）的定价和参数的快照。原始数据包括模型定价（输入/输出代币成本）、模型参数和规格以及计算出的字段（如输出/输入代币价格比率）。增强数据集通过将OpenRouter API中的Hugging Face ID映射到Hugging Face API，提供了额外的模型元数据和信息。该数据集可用于跨LLM提供商的比较定价分析、基于API的LLM推理的成本优化、基于定价和参数的模型选择以及定价的历史追踪（特定时间点的快照）。

The OpenRouter API Pricing Analysis Dataset provides a point-in-time snapshot of pricing and parameters for LLMs available through the OpenRouter API for inference. The raw data includes model pricing (input/output token costs), model parameters and specifications, and computed fields such as output/input token price ratios. The enhanced dataset is created by mapping Hugging Face IDs from the OpenRouter API to the Hugging Face API, providing additional model metadata and information. The dataset can be used for comparative pricing analysis across LLM providers, cost optimization for API-based LLM inference, model selection based on pricing and parameters, and historical pricing tracking (point-in-time snapshot).