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chinese-llm-benchmark
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chinese-llm-benchmark

Active·★ 6.5k·Updated 2026-10-27
★ Essential★ Trending

ReLE (Really Reliable Live Evaluation for LLM, formerly CLiB) is a continuously updated Chinese-language evaluation of large models. According to the README it covers 337 models, from commercial ones (ChatGPT, GPT-5.2, o4-mini, Gemini 3 Pro, Claude 4.5, ERNIE, Qwen3-Max, Baichuan, iFlytek Spark, SenseChat) to open-source ones (Kimi K2, DeepSeek V3.2, MiniMax M2.1, GLM-4.7, Llama 4, Gemma 3, Mistral).

It evaluates seven domains and about 300 sub-dimensions: education, medical and mental health, finance, law and civil service, reasoning and mathematics, language and instruction following, and agent and tool calling. Leaderboards include multimodal, overall (with separate reasoning, commercial and open-source boards), education down to individual school subjects and exams, medical licences, finance qualifications, law and civil-service exams and reasoning sub-tasks. Besides the rankings it publishes a defect library of more than two million model failures for the community to analyse, and offers free evaluation of private models. The README is in Chinese and the repository has no declared licence.

This write-up is based on the project's README and public repository data. We have not hand-tested the tool. Data as of 2026-10-24.

License
Not detected by GitHub
Latest release
v5.10 · 2026-04-21
Last commit
2026-10-21
Contributors
2
Forks
262
Open issues and PRs
19
First published
2023-06-04

Source: GitHub, npm and PyPI public APIs.

#LLM Evaluation#Chinese LLMs#AI Benchmark#Model Ranking#Defect Analysis#Data Analysis#Communication
$ Install
$ git clone https://github.com/jeinlee1991/chinese-llm-benchmark.git
↗ Visit site★ GitHub
01

Features

01Extensive coverage of 337+ commercial and open-source Chinese LLMs.
02Multi-dimensional evaluation across 7 main domains and ~300 sub-dimensions.
03Provides detailed ranking lists for various capabilities and specific domains.
04Offers a large defect library with over 2 million LLM flaws for research and improvement.
05Supports customized model selection and free evaluation services for private models.
02

Why choose it

+Large model coverage (337) including both commercial and open-source Chinese and international models.
+Domain-specific leaderboards (education by subject, medical licences, finance qualifications, law and civil-service exams) rather than one overall score.
+Publishes a defect library of 2 million+ failure cases that others can study.
+Continuously updated, with separate boards for reasoning, commercial and open-source models.
03

Trade-offs

!Rankings are the maintainers' own evaluation with their own test sets and judging, so treat them as one reference rather than an authoritative measure.
!The README is a very long page of tables in Chinese, and several sections are marked TODO.
!GitHub shows no licence, so reuse of the data and tables is not clearly permitted.
04

Maintenance check

ActiveChecked: 2026-10-24
Last commit
2026-10-21
Commits, last 90 days
29
Releases, last 90 days
0
Latest release
v5.10 (2026-04-21)
Open issues
19
Recent issues with at least one comment
17/30
Commits per week, last 12 weeks
Commits per week, last 12 weeks: 1, 3, 2, 2, 2, 2, 2, 7, 2, 1, 2, 2

Oldest week on the left; the latest four weeks are orange. Source: GitHub commit activity.

Status rule: archived on GitHub = Archived; last commit within 90 days = Active; 91 to 365 days = Slowing; older = Stale. All figures come from the GitHub API on the date shown.

Most discussed open issues

  • #14 评测数据太少了吧,这能说明问题?2 comments · 2023-09-14
  • #66 有计划增加文生图模型的对比吗?虽然感觉比较主观1 comments · 2025-05-05
  • #61 【请求】增加软件开发、编程能力的综合评测。1 comments · 2025-02-26
  • #86 要不把你们的微信客服开了吧,根本就不回复消息,什么服务态度??0 comments · 2026-09-21
  • #84 请求添加新模型:Qwen3.7-Flash0 comments · 2026-08-10

Issue titles are quoted from GitHub. Open the link to check whether a problem still applies to the version you use.

05

Compatibility

OpenAI (GPT series)
Supported
Verified via docs
Google (Gemini series)
Supported
Verified via docs
Anthropic (Claude series)
Supported
Verified via docs
Baidu (ERNIE series)
Supported
Verified via docs
Alibaba (Qwen series)
Supported
Verified via docs
DeepSeek
Supported
Verified via docs
06

Quick start

1
$ git clone https://github.com/jeinlee1991/chinese-llm-benchmark.git
07

Use cases

↳Comparing and selecting the best performing LLMs for specific applications.
↳Identifying weaknesses and improving the capabilities of large language models.
↳Benchmarking private or custom LLMs against public models for performance and cost optimization.
08

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On this page
01Features02Why choose it03Trade-offs04Maintenance check05Compatibility06Quick start07Use cases08Alternatives
jeinlee1991 /
chinese-llm-benchmark
↗

ReLE: a live Chinese LLM leaderboard covering 337 models across 7 domains

6.5k262
Last commit1d ago
StatusActive
CategoryLLM Infra
Contributors2
Latest releasev5.10
Links
Documentation↗Discussion↗Issues↗Releases↗
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