OpenCompass
OpenCompass is an open-source LLM evaluation framework from Shanghai AI Laboratory, combining an evaluation toolkit, a benchmark hub and public leaderboards for language and multimodal models.
Verification level not recorded · · Submit a correction
Best for research teams and enterprises that need systematic, reproducible model evaluation; not for casual users who just want to chat with a model.
Decision facts
“Not verified” means evidence is insufficient, not that the capability is absent.
What is OpenCompass
OpenCompass is an open-source LLM evaluation framework from Shanghai AI Laboratory, combining an evaluation toolkit, a benchmark hub and public leaderboards for language and multimodal models.
Key features of OpenCompass
- Benchmarking in-house LLMs or multimodal models across many capability dimensions
- Comparing candidate models before choosing one for an enterprise application
- Producing reproducible model-comparison experiments for academic research
- Publishing custom benchmarks to the community hub and tracking rankings
Good for
- Fully open source with transparent, reproducible evaluation pipelines
- Covers eight capability dimensions including language, knowledge and reasoning
- Distributed evaluation scales efficiently to very large models
Watch out
- Requires solid engineering skills to deploy and run
- Results depend on benchmark and prompt design and need careful interpretation
- Aimed at model R&D workflows rather than end-user product use
How to use OpenCompass
- Visit the OpenCompass site and review the CompassKit, CompassHub and CompassRank modules
- Clone CompassKit from GitHub, install dependencies and configure the environment
- Prepare your model endpoint or Hugging Face repository
- Choose benchmarks and evaluation modes such as zero-shot or few-shot, then run
- Inspect the local report or check results on the CompassRank leaderboard
Who OpenCompass is for
Difficulty: Intermediate
- Benchmarking in-house LLMs or multimodal models across many capability dimensions
- Comparing candidate models before choosing one for an enterprise application
- Producing reproducible model-comparison experiments for academic research
- Publishing custom benchmarks to the community hub and tracking rankings
FAQ
Is OpenCompass free?
Yes. The evaluation framework is fully open source, and the toolkit and community resources are free to use.
Which models can OpenCompass evaluate?
It supports Hugging Face models and API-based models, covering both large language models and multimodal models.
Where can I see evaluation results?
Local runs generate experiment reports, and public results are published regularly on the CompassRank leaderboard.
Sources and verification
Evidence status: Verification level not recorded
Sources: opencompass.org.cn (opens in a new tab)
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