I tested China’s leading AI models, so you don’t have to.

DeepSeek-V3 VS Qwen 2.5

The results will shock you.

(Video demos are included 👇)

1/ Reasoning

• DeepSeek-V3: More detailed but overly verbose.
• Qwen2.5: Clear, structured, and to the point.

Winner: Qwen 2.5 (1-0)

2/ Image Analysis

• DeepSeek-V3: Couldn’t analyze the image.
• Qwen2.5 (VL-72B): Identified the winner and found the next match.

Winner: Qwen2.5 (2-0)

3/ Document Analysis

• DeepSeek-V3: Concise but missed some important details.
• Qwen2.5: More in-depth and captured all key points.

Winner: Qwen2.5 (3-0)

4/ Content Creation

• DeepSeek-V3: Data-driven and structured for investors.
• Qwen2.5: Narrative-driven and engaging, but less structured.

Winner: DeepSeek-V3 (3-1)

5/ Coding

• DeepSeek-V3: Well-structured code with advanced features.
• Qwen2.5: Simpler code and was easy to navigate and work with

Winner: DeepSeek-V3 and Qwen (3-2)

Qwen 2.5 code:

The results:

• DeepSeek-V3 = 2
• Qwen2.5 = 4

DeepSeek = Best for reasoning, structured responses, and coding.

Qwen2.5 = Best for in-depth analysis, modularity, and flexibility.

Both are powerful AI contenders to watch out for.

Would you use Chinese LLMs over GPT-4o or Claude?

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