OpenCompass

What it is

OpenCompass is an open-source LLM evaluation platform that supports a wide range of language models including Llama3, Mistral, InternLM2, GPT-4, LLaMa2, Qwen, GLM, Claude, etc., over more than 100 datasets. It provides developers and researchers with a comprehensive tool to evaluate the performance of various large language models.

OpenCompass stands out as an open-source, flexible platform that supports the evaluation of multiple large language models across numerous datasets, making it ideal for researchers and developers who need comprehensive benchmarking capabilities.

When it fits — and when it doesn’t

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

1. 01

   Limited documentation for advanced use cases

   Advanced features like custom dataset integration are poorly documented

2. 02

   Performance bottlenecks with large datasets

   Evaluation of datasets larger than 10k records can be slow and resource-intensive

What it does well

• Supports over 10 different language models

• Evaluates performance across more than 100 datasets

• Open-source and self-hosted

• Flexible configuration for model evaluation

Pricing

Free tier

YesOpen source — free to use

Paid from

$0

Model

Flat rate

Enterprise plan

No

Pricing not independently confirmed — check the vendor’s page.