jeinlee1991/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）：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-k2.6、ernie4.5、MiniMax-M2.7、deepseek-v4、Qwen3.6、llama4、智谱GLM-5.1、MiMo-V2、LongCat、gemma4、mistral等开源大模型。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。
6.2k
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251
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15
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2
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AI Analysis
ReLE is a comprehensive Chinese LLM evaluation benchmark that assesses 386+ large language models across 7 domains (~300 sub-dimensions) including education, medical, finance, law, reasoning, language, and agent/tool-use capabilities. It serves researchers, model developers, and enterprises in China who need structured, multi-dimensional performance comparison of commercial and open-source LLMs. Not designed for general-purpose model usage—it is a specialized evaluation and benchmarking platf...
Inferred from signals mentioned in the README (tests, CI, type safety) — not a review of the actual code.
AI's overall editorial judgment — not an average of the bars above, can weigh other factors too.
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- Website
- https://nonelinear.com
- Last updated
- 3w ago
- Created
- 38mo ago
- Analyzed with
- anthropic/claude-haiku-4-5
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