OpenCompass
LLM evaluation platform supporting over 10 models and 100+ datasets.
Pricing
Free tier
Flat rate
Adoption
↗RisingLicense
Open Source
Data freshness
Verified · Jul 16, 2026Overview
What is OpenCompass?
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.
Key differentiator
“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.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Advanced features like custom dataset integration are poorly documented
Evaluation of datasets larger than 10k records can be slow and resource-intensive
Fit analysis
Who is it for?
✓ Best for
Researchers who need a comprehensive evaluation platform for multiple LLMs
Teams evaluating the performance of various large language models across diverse datasets
Developers interested in open-source tools for model benchmarking
✕ Not a fit for
Users looking for real-time streaming capabilities (batch-only architecture)
Projects requiring a cloud-hosted service without self-hosting options
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Works well with
Next step
Get Started with OpenCompass
Step-by-step setup guide with code examples and common gotchas.