Dark Mode
AI Model Speed and Pricing Data
Data Science and Analytics
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
A dataset detailing the comparison of various Large Language Models (LLMs) based on factors critical to deployment, such as performance, operational cost, and resource efficiency. The included metrics, which span speed, latency, benchmark scores, and pricing structures, assist users in making informed decisions about how diverse proprietary and publicly available models perform relative to one another. The data allows for a swift evaluation of models tailored to specific application requirements.
Columns
- Model: The identifier for the Large Language Model undergoing evaluation.
- Provider: The organization or company responsible for developing and maintaining the LLM, such as Cohere or OpenAI.
- Context Window: The maximum number of tokens the model can process in a single input, which is essential for tasks requiring extensive context or long-range understanding. Observed minimum is 128k tokens and maximum is 2.00m tokens.
- Speed (tokens/sec): The rate at which the model generates tokens, with higher values indicating faster response times. The average rate is 163 tokens per second.
- Latency (sec): The time delay observed before the model produces a response. The average latency is 9.36 seconds.
- Benchmark (MMLU): The model's score on the Massive Multitask Language Understanding benchmark, designed to evaluate general knowledge and problem-solving abilities (scores range up to 94).
- Benchmark (Chatbot Arena): The ranking or score achieved in the Chatbot Arena, which assesses real-world chatbot quality through user interactions (scores range up to 1493).
- Open-Source: A binary indicator (1 or 0) signifying whether the model is publicly available (1) or proprietary (0).
- Price / Million Tokens: The operational cost, usually measured in USD, associated with processing one million tokens. The average cost is $14.50.
- Training Dataset Size: The total size of the dataset used during the model’s training phase, with observed data sizes reaching 984 million units.
- Compute Power: The necessary resources required to operate the model.
- Energy Efficiency: A measure of the power consumption of the model during operation.
- Quality Rating: A general perceived quality rating assigned to the model (on a scale of 1 to 3).
- Speed Rating: A rating reflecting the perceived quickness of the model (on a scale of 1 to 3).
- Price Rating: A rating reflecting the cost effectiveness of the model (on a scale of 1 to 3).
Distribution
The data is structured in a Tabular format and delivered as a CSV file (
llm_comparison_dataset.csv). The file size is 14.57 kB. It contains 15 columns with 200 valid records available across the metrics. The dataset is expected to be updated on an annual basis.Usage
- Model Comparison: Directly comparing LLMs based on key metrics like Speed, Cost, and Performance at a glance.
- Efficiency Analysis: Evaluating models based on Latency, Energy Efficiency, and Compute Power for specific hardware environments.
- Benchmark Analysis: Using MMLU scores for academic performance analysis and Chatbot Arena scores for real-world interactive quality assessment.
- Cost Management: Informing budget decisions by assessing the Price per Million Tokens.
Coverage
The dataset focuses exclusively on the technical and statistical metrics of Large Language Models (LLMs) provided by various developers. There is no specific geographic, temporal, or demographic scope; the data relates strictly to artificial intelligence model characteristics and their operational capabilities.
License
CC0 (Public Domain)
Who Can Use It
- Researchers: For studying the relationships between training data size, resource consumption, and resulting performance ratings.
- Developers: For comparing model speed and latency to ensure applications meet required response times.
- AI Enthusiasts: For gaining insight into the economic factors (price) and efficiency characteristics (energy consumption) of modern LLMs.
Dataset Name Suggestions
- LLM Performance and Cost Metrics
- Large Language Model Comparative Statistics
- Generative Model Efficiency Benchmarks
- AI Model Speed and Pricing Data
Attributes
Original Data Source: AI Model Speed and Pricing Data
QUALITYLoading...