Overview

This template allows you to compare token pricing and performance metrics of various large language models (LLMs) from different providers like OpenAI, Google, Mistral, and Cohere. It helps track key metrics such as input and output token prices, throughput in tokens per second, and the most recent pricing updates. The table also provides links to relevant sources to ensure accuracy.

  • Input and output token pricing for LLMs

  • Token throughput (tokens per second)

  • Last update date for pricing data

  • Provider information (e.g., OpenAI, Google, Cohere, etc.)

How to use this template:

  1. Enter the name of the LLM model in the "Model" column.

  2. The provider will be automatically populated based on the model.

  3. Review the token prices and performance metrics.

  4. Utilize the data for making cost-performance decisions.

This template is ideal for developers, AI researchers, and organizations evaluating different LLM providers based on cost efficiency and performance.