DeepEval
8.3#1 in llm evaluation toolsFrom $200 a monthFree planWebAPILinuxmacOS
VisitDeepEval vs OpenCompass
OpenCompass
5.9#17 in llm evaluation toolsFree planFree planAPILinuxSelf-hosted
VisitWhat both publish
| Fact | DeepEval | OpenCompass |
|---|---|---|
| Evaluation methods | Its evaluation techniques include G-Eval, DAG, QAG, and JevEval. | It supports zero-shot, few-shot, and chain-of-thought evaluations with standard or dialogue prompt templates. |
| License | The repository and package identify DeepEval as Apache Software License 2.0. | The GitHub repository identifies its license as Apache-2.0. |
| Purpose | DeepEval is an open-source LLM evaluation framework for building evaluation pipelines to test AI systems. | OpenCompass is an LLM evaluation platform for assessing models across datasets covering knowledge, reasoning, coding, science, language, long context, and safety. |
DeepEval plans
- DeepEvalFree
- FreeFree
- Starter$200 a month
- Team$2,000 a month
- EnterprisePriced on request
OpenCompass plans
- OpenCompassFree
Pick DeepEval if…
DeepEval suits developers building repeatable AI evaluations in Python or CI/CD, especially those testing multiple modalities or agent workflows. Its free OS offering is for pre-production testing rather than production evaluation.
Pick OpenCompass if…
It suits researchers and practitioners who need to evaluate large language or vision-language models across varied datasets and methods. It is geared toward users comfortable with Python package installation and self-hosting.