No. 24 of 30 ·AI LLM Evaluation Tools

OpenCompass

Windows · Linux · Self-hosted · API

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Freedom report

One barScore 5.5

Free tierNo free tier on record
Open codeNo open-source code on record
Runs widely2 of 6 device platforms
DocumentedPlans, terms and facts published

OpenCompass is ranked #24 of 30 in AI LLM evaluation tools on Freedom251. It runs on API, Linux, Self-hosted, Windows.

Compared on AI LLM evaluation tools

Evaluation methods: objective; subjective; discriminative; generative; LLM-as-a-judge
Model support: Hugging Face models; API-based models; custom models; OpenAI; Anthropic; Gemini; Qwen; GLM; DeepSeek
Safety evaluations: Yes
Deployment: self-hosted

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The record

Purpose: OpenCompass is a platform for evaluating large language and multimodal models.
Benchmarks: The project describes support for more than 100 datasets covering areas such as knowledge, reasoning, coding, science, language, long context, and safety.
Scale: The project describes distributed evaluation and a scheme with 70+ datasets and about 400,000 questions.
Model integrations: Documented model integrations include OpenAI, Gemini, Claude, Qwen, and other API models, as well as open-source models.
API support: The installation guide documents API evaluation and lists dependencies for OpenAI, Anthropic, Qwen, and ByteDance Volcano Engine APIs.
Inference backends: The installation guide documents LMDeploy and vLLM as inference backend options.
Workflow and outputs: The quick start describes configuring, running inference and evaluation, and saving results as CSV and TXT files.
Reporting: The quick start says users can enable Lark reporting for status updates in Lark clients.
Extensibility: The project says users can add models and datasets and customize task division strategies and cluster management support.
License: The GitHub repository links an Apache-2.0 license.
Requirements: The installation guide states that OpenCompass requires PyTorch 1.13 or later.
Dataset limitation: The basic installation supports most fundamental datasets, while some datasets require additional dependencies or manual setup.
Intended users: The project describes CompassHub and CompassKit for researchers and practitioners evaluating language and vision-language models.
Evaluation dimensions: Its documentation describes evaluations across language, knowledge, understanding, reasoning, safety, and specialized capabilities.

Where it ranks on Freedom251

Best AI LLM Evaluation Tools in 2026#24 of 30

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Sources

opencompass.readthedocs.io/en/doc_refactor/index.html· checked 4 Oct 2026
github.com/open-compass/opencompass· checked 4 Oct 2026
opencompass.readthedocs.io/en/latest/get_started/installation.html· checked 4 Oct 2026
opencompass.readthedocs.io/en/latest/get_started/quick_start.html· checked 4 Oct 2026
doc.opencompass.org.cn/user_guides/framework_overview.html· checked 8 Oct 2026
github.com/open-compass/opencompass/blob/main/READ· checked 8 Oct 2026
doc.opencompass.org.cn/dataset_statistics.html· checked 8 Oct 2026
github.com/open-compass/opencompass/releases· checked 8 Oct 2026