chinese-llm-benchmark — Agent Tool by jeinlee1991

by jeinlee1991 · Agent Tool · ★ 6.2k

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About chinese-llm-benchmark

非线智能 NoneLinear - ReLE评测:中文AI大模型能力评测(持续更新) ReLE (Really Reliable Live Evaluation for LLM),原名CLiB 目前已囊括384个大模型,覆盖chatgpt、gpt-5.5、谷歌gemini-3.1-pro、Claude-4.8、文心ERNIE-X1.1、ERNIE-5.1、qwen3.7-max、qwen3.7-plus、百川、讯飞星火、商汤senseChat等商用模型, 以及step3.7-flash、kimi-k2.6、ernie4.5、MiniMax-M3、deepseek-v4、Qwen3.6、llama4、智谱GLM-5.1、MiMo-V2、LongCat、gemma4、mistral等开源大模型。 支持多维度能力评测,包括教育、医疗与心理健康、金融、法律与行政公务、推理与数学计算、语言与指令遵从、agent与工具调用等7个领域,以及细分的300个维度(比如牙科、高中语文…)。详见我们的技术报告ReLE: A Scalable System and Structured Benchmark for Diagnosing Capability Anisotropy in Chinese LLMs 媒体报道(机器之心):全球304个中文大模型实测:没有“全能王者”,ReLE凭70%降本方案破解评估困局 不仅提供排行榜,也提供规模超200万的大模型缺陷库!方便广大社区研究分析、改进大模型。 为您的私有大模型提供免费评测服务,联系我们(非线智能 ReLE benchmark团队):加微信 目录 🔄最近更新 ⚓GitHub热门大模型评测项目 📝大模型基本信息 📊排行榜 0、多模态排行榜 1、综合能力排行榜 1.1 推理类模型排行榜 1.2 商用大模型排行榜(含开源模型的付费API) 1.3 开源大模型排行榜 2、教育排行榜 2.1 小学学科    2.3 中考TODO 2.4 高中学科    2.6 高等教育TODO 2.7 考研TODO  |  2.8 教师资格TODO 3、医疗与心理健康排行榜 3.1 医师  

agentic-aiartificial-intelligencellm-agentllm-evaluation

Quick Facts

Stars6,223
Forks254
CategoryAgent Tool
Quality Score50.9624801952756/100
Open Issues15
Last Updated2026-06-27
Created2023-06-04
Platformsclaude-code, gemini
Est. Tokens~28k

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Frequently Asked Questions

What is chinese-llm-benchmark?

chinese-llm-benchmark is 非线智能 NoneLinear - ReLE评测:中文AI大模型能力评测(持续更新):目前已囊括374个大模型,覆盖chatgpt、gpt-5.4、谷歌gemini-3.1-pro、Claude-4.6、文心ERNIE-X1.1、ERNIE-5.0、qwen3.6-max、qwen3.6-plus、百川、讯飞星火、商汤senseChat等商用模型, 以及step3.5-flash、kimi-k2.. It is categorized as a Agent Tool with 6.2k GitHub stars.

How do I install or use chinese-llm-benchmark?

You can find installation instructions and usage details in the chinese-llm-benchmark GitHub repository at github.com/jeinlee1991/chinese-llm-benchmark. The project has 6.2k stars and 254 forks, indicating an active community.

What are the best alternatives to chinese-llm-benchmark?

The top alternatives to chinese-llm-benchmark on Agent Skills Hub include PocketFlow, generative-ai, AgenticRAG-Survey. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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