| 标题 |
Evaluating the reasoning capabilities of large language models in Chinese-language contexts
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Abstract With the rapid iteration of AI technologies, reasoning capabilities have become a core indicator for measuring the intelligence level of large language models (LLMs) and a focus of research in both academia and industry. This report aims to establish a systematic, objective, and comprehensive evaluation framework to assess AI reasoning capabilities. We compared 36 LLMs on various text-based reasoning tasks in Chinese-language contexts and found that GPT-o3 achieved the highest score in the basic logical reasoning evaluation, while Gemini 2.5 Flash led in contextual reasoning evaluation. In terms of overall ranking, Doubao 1.5 Pro (Thinking) secured the top position, closely followed by OpenAI’s recently released GPT-5 (Auto). Several Chinese-developed LLMs—including Doubao 1.5 Pro, Qwen 3 (Thinking), |
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(2025-6-4)
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